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callofdutymobileindia · 12 days ago

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Machine Learning Course in Boston: Top Institutes, Syllabus, and Career Scope (2025)

In today’s data-driven world, machine learning (ML) is powering innovation in industries ranging from healthcare to finance, robotics to e-commerce. If you're considering a future in machine learning, there’s no better place to learn than Boston—a global hub of technology, academia, and innovation.

Home to prestigious universities like MIT, Harvard, and tech-forward institutions like Boston Institute of Analytics, Boston offers a rich ecosystem for aspiring ML professionals. Whether you’re a student, a working professional, or a career switcher, enrolling in a machine learning course in Boston in 2025 can be your gateway to a high-growth, high-paying career.

This comprehensive guide covers the top ML courses in Boston, their syllabus, benefits, and how they align with your career goals.

Why Choose Boston for a Machine Learning Course?

Boston stands out as a premier location to study machine learning because of its:

✅ World-Class Education – Home to MIT, Harvard, BU, and Northeastern ✅ Tech Industry Proximity – A strong presence of AI/ML startups and research labs ✅ Career Opportunities – Access to companies like IBM, Amazon, Google, and biotech leaders ✅ Networking – Frequent AI meetups, conferences, and academic symposiums ✅ Student-Friendly Environment – Diverse international community and vibrant tech culture

Boston Institute of Analytics (BIA)

Program: Advanced Machine Learning & AI Certification

Why Choose BIA: Boston Institute of Analytics is a leading global training provider known for its industry-relevant curriculum, hands-on learning, and 100% placement assistance. Their machine learning program is tailored to equip you with in-demand tools and real-world problem-solving skills.

Key Features:

Instructor-led classroom or online learning

Covers Python, ML algorithms, Deep Learning, NLP, and Computer Vision

Real-world projects and capstone assignments

Career mentorship and placement support

Globally recognized certification

Duration: 3 to 6 months Best For: Students, professionals, and career changers seeking job-ready ML training.

Machine Learning Course Syllabus: What You’ll Learn

While course content varies, most top machine learning courses in Boston include:

🔹 Core Programming Skills

Python for ML

Numpy, Pandas, Scikit-learn

Data manipulation and preprocessing

🔹 Mathematics & Statistics

Linear algebra

Probability and statistics

Optimization techniques

🔹 Machine Learning Fundamentals

Supervised vs. Unsupervised Learning

Regression, Classification, Clustering

SVM, Decision Trees, KNN, Ensemble Models

🔹 Advanced Topics

Neural Networks & Deep Learning

NLP (Natural Language Processing)

Computer Vision

Reinforcement Learning

🔹 Deployment & Tools

Model deployment (Flask, FastAPI)

Cloud ML tools (AWS, Azure, GCP)

Git, Docker, MLOps basics

🔹 Capstone Project & Portfolio Building

Solve real-world ML problems

Build GitHub portfolio

Presentations and report writing

Career Scope After a Machine Learning Course in Boston

Completing a machine learning course in Boston equips you with highly marketable skills. You can explore roles such as:

Machine Learning Engineer

Data Scientist

AI/ML Research Associate

Business Intelligence Developer

Computer Vision/NLP Specialist

AI Product Manager

Final Thoughts

Boston is not just an academic city—it’s a machine learning powerhouse. Whether you're learning from the historic classrooms of MIT or the modern, industry-aligned programs at Boston Institute of Analytics, this city offers world-class training, practical exposure, and unmatched career potential in ML.

If you're looking for a career-oriented program with live instruction, hands-on projects, certification, and job support, the Boston Institute of Analytics stands out as a top choice in 2025.

#Machine Learning Course in Boston #6 Months Data Science Course in Boston #Best Data Science Courses in Boston #Artificial Intelligence Course in Boston

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scholarinfohub · 2 months ago

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Masters in Biotechnology in the USA: Top Universities, Course Highlights, and Key Details 2025

What if one master’s degree could place you at the cutting edge of science and innovation… while opening doors to six-figure careers in the U.S.? If you're thinking about pursuing a Master’s in Biotechnology, you’re not alone. But before you apply, you need to know this:

📌 The best universities aren’t always the most obvious.

📌 The right program can fast-track your OPT, H-1B sponsorship, or even permanent residency.

📌 And some biotech grads land roles in Fortune 500 companies within months of graduation others struggle for years.

So… what’s the difference? Let’s dive into what truly matters when it comes to doing your MS in Biotechnology in the USA in 2025.

Why Study Biotechnology in the USA?

Biotech isn’t just another branch of science anymore; it’s the future of medicine, agriculture, the environment, and AI-driven research. And where’s all the action happening? In the U.S.

The U.S. is home to over 1,700 biotechnology firms, cutting-edge research institutions, and $100 billion+ in biotech investment annually. Universities here don’t just teach biotech they shape the industry.

Plus, thanks to the STEM designation, international students get up to 3 years of OPT after graduation. That’s your golden ticket to hands-on work experience and maybe even a U.S. green card down the line.

Top Universities for MS in Biotechnology (2025)

You probably already know schools like Harvard and Stanford. But when it comes to real-world biotech programs with strong industry links, these universities stand out in 2025:

1. Johns Hopkins University

Known for its advanced biotech program with tracks in molecular biology, regulatory affairs, and biotech enterprise.

Location near biotech hubs like Washington, D.C., and Baltimore.

2. University of Pennsylvania

Offers a cutting-edge biotech master’s within the Ivy League environment.

Combines business, science, and lab experience.

3. Northeastern University

Located in Boston, with a co-op model that guarantees hands-on experience.

Strong industry connections with pharma giants like Pfizer and Moderna.

4. University of Wisconsin–Madison

Excellent research facilities and are known for affordable tuition compared to other top-tier universities.

5. Columbia University

Offers both thesis and non-thesis biotech MS programs.

Proximity to NYC’s fast-growing biotech scene = top internships.

6. Northwestern University

Focuses on interdisciplinary biotech, including nanotech and bioinformatics.

7. University of Southern California (USC)

Strong placement record in California’s biotech industry, including Silicon Valley and San Diego.

Want an edge? Look for universities near biotech hubs like Boston, San Francisco, New York, or North Carolina’s Research Triangle.

Course Highlights You Don’t Want to Miss

A typical MS in Biotechnology program in the U.S. takes 18–24 months to complete and includes:

✅ Molecular biology & genetic engineering

✅ Bioprocessing & pharmaceutical technologies

✅ Regulatory affairs (FDA-focused)

✅ Data science & AI in biotech

✅ Bioethics & entrepreneurship

What separates average programs from great ones? Lab access, industry mentorship, and startup incubators. Some programs even offer dual MS/MBA options to launch future biotech founders.

Fees and Funding: What You Really Pay

Let’s talk money. Tuition fees for biotech master’s programs in the U.S. range from:

$30,000–$60,000 per year, depending on the university

Living expenses: $12,000–$20,000 annually

But here’s the catch: most top programs offer assistantships, scholarships, or co-op jobs.

Many students offset costs by working in research labs or teaching assistant positions, sometimes covering 50% or more of their tuition.

Career Prospects After Graduation

Here’s where it gets exciting.

Biotech grads are in high demand across multiple sectors:

Pharmaceuticals (Pfizer, Merck, Genentech)

Agritech (Bayer, Syngenta)

AI & Bioinformatics startups

Government labs & policy research

Biotech consulting & venture capital

Average Salary:

Entry-level biotech professionals earn $65,000–$85,000/year

Experienced roles: $100,000+, especially in pharma R&D and regulatory affairs

Biotech product managers & analysts: Up to $120,000/year

With the STEM OPT extension, international students have up to 36 months to build U.S. work experience, giving them a real shot at securing H-1B sponsorship or transitioning into permanent roles.

Bonus: Visa and OPT Advantages

An MS in Biotechnology qualifies for:

F-1 student visa

12 months OPT + 24-month STEM extension

Easier path to H-1B sponsorship due to job market demand

Some universities even assist with CPT (Curricular Practical Training), allowing you to work while studying.

Final Take: Is an MS in Biotechnology in the USA Worth It?

If you want to be part of a booming, future-proof industry and study in a country that’s driving innovation globally then the answer is: YES.

But not all programs are created equal.

✅ Choose your university strategically.

✅ Look beyond rankings, focus on industry links, and hands-on training.

✅ Don’t ignore location, OPT/CPT, and scholarship opportunities

Because this degree isn’t just about what you learn, it’s about where it takes you after.

#study abroad #education #scholarships

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psychologyofsex · 4 years ago

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The True Story of How I Became a Sex Educator and Researcher

Our professional biographies tend to serve as a “highlight reel”—they only say the great things we’ve accomplished and don’t reveal the struggles, challenges, and uncertainties that went into building a career. To lift back the curtain on this, the Society for Personality and Social Psychology (SPSP) recently asked a number of scholars to submit their official bios along with their “unofficial bios” that reveal an extremely different version of the story with more twists and turns.

You can read some of the examples here. Although I didn’t participate in it, I thought it would be fun to do something similar on the blog. So here goes—I’ll start with my official bio, followed by the real, behind-the-scenes story.

Official Bio of Dr. Justin J. Lehmiller

Dr. Justin Lehmiller received his Ph.D. in Social Psychology from Purdue University. He is a Research Fellow at The Kinsey Institute and author of the book Tell Me What You Want: The Science of Sexual Desire and How It Can Help You Improve Your Sex Life. Dr. Lehmiller is an award-winning educator, having been honored three times with the Certificate of Teaching Excellence from Harvard University, where he taught for several years. He is also a prolific researcher and scholar who has published more than 50 academic works to date, including a textbook titled The Psychology of Human Sexuality (now in its second edition) that is used in college classrooms around the world. Dr. Lehmiller's studies have appeared in all of the leading journals on human sexuality, including the Journal of Sex Research, Archives of Sexual Behavior, and The Journal of Sexual Medicine.

Dr. Lehmiller has run the popular blog Sex and Psychology since 2011. It receives millions of page views per year and is rated among the top sex blogs on the internet. In 2019, he launched the Sex and Psychology Podcast. It ranks among the top sexuality podcasts in several countries and has been named one of “11 sex podcasts that will help you get better in bed” by Men’s Health.

Dr. Lehmiller has been interviewed by numerous media outlets, including The Wall Street Journal, The New York Times, The Chicago Tribune, The Boston Globe, CNN, The Atlantic, The Globe and Mail, and The Sunday Times. He has been named one of 5 "Sexperts" You Need to Follow on Twitter by Men's Health and one of the "modern-day masters of sex" by Nerve. Dr. Lehmiller has appeared on the Netflix series Sex, Explained, he has been on several episodes of the television program Taboo on the National Geographic Channel, and he has been a guest on Dr. Phil. Dr. Lehmiller has also appeared on numerous podcasts and radio shows, including the Savage Lovecast, the BBC’s Up All Night, and several NPR programs (1A, Radio Times, and Airtalk).

He is a popular freelance writer, penning columns and op-eds for major publications, including The Washington Post, Playboy, USA Today, VICE, Psychology Today, Men’s Health, Politico, and New York Magazine. He has also interviewed several prominent authors, journalists, and psychologists about their work for his blog and podcast, including Dr. Sanjay Gupta, Lisa Ling, Drs. John and Julie Gottman, and bestselling authors Christopher Ryan (Sex at Dawn) and Lisa Taddeo (Three Women).

Unofficial Bio of Dr. Justin J. Lehmiller

When Justin’s parents asked him what he wanted to study in college, he said “psychology.” He had taken a couple of psychology courses in high school that he found to be absolutely fascinating; however, his parents discouraged him from this because getting into a PhD program was tough and uncertain and, if that didn’t work out, they didn’t see much potential in a Bachelor’s degree in psychology. They encouraged him to pursue a career in occupational therapy (OT) instead because a family friend said “they needed more men in the field,” and also because his parents saw it as a path to job security with a pretty good paycheck.

He applied to a 5-year combined Bachelor’s/Master’s program in OT at Gannon University and was admitted. Incidentally, he was one of two men in the entire program. He spent a year and a half in it and made straight As in every course, including biochemistry and physics—but he wasn’t happy. He recognized the importance of OT to society, but it wasn’t his passion. After showing his parents that he was taking college seriously and earning good grades, they allowed him to switch his major to psychology.

Upon completing his Bachelor’s degree, he only applied to Master’s programs in psychology because he didn’t think he had the chops to get into a PhD program right away. The inferiority complex was strong in this one, so he didn’t even try. He applied and was accepted to Villanova University’s Master’s program in experimental psychology. He was not competitive enough of a candidate to receive an assistantship initially, although he eventually received one after another student dropped out.

He really wanted to study social psychology at Villanova, but there was only one social psychologist on staff at the time and several interested students. The only option for him was to beg one of the clinical psychologists to let him do a social psychology study for his Master’s thesis.

As he began looking for PhD programs to apply to, he met Dr. Chris Agnew at a meeting of the American Psychological Association. Chris was studying romantic relationships and Justin thought that sounded like a fun thing to spend his life doing. Plus, Chris was a super cool guy who seemed like a fantastic mentor. He applied and was admitted to Purdue’s social psychology program, although he was initially waitlisted (and rejected from all but one other program). Justin’s plan was to get his doctorate and become a college professor. Teaching and research sounded like things he could probably do.

Justin was assigned to teach a Health Psychology course at Purdue during his first year. He had never taught a class before and quickly realized that he was very uncomfortable with public speaking. The class was a disaster. Attendance dropped 60-70% within the first couple of weeks. He had no idea what he was doing and dreaded going to class each day—and he received poor evaluations in the end.

Around the same time, Justin submitted his first academic paper to a journal, it was promptly rejected and came with this review: “This manuscript is fatally flawed and of marginal utility, which is a shame because potentially interesting questions could have been asked given the topic and timing of the research. The tone of this manuscript represents the worst in scientific misconstrual, particularly because the claims are silly, wrong, or not warranted by the data.” Justin clearly sucked at both teaching and research—and if he couldn’t do those things well, how would he ever become a college professor?

He also started hearing horror stories from advanced students in his program who couldn’t find jobs and were sticking around for 6 or 7 years in the hope of eventually landing a job—any job. All of this led Justin to question what the hell he was doing with his life. Maybe he should have listened to his parents after all? Chris encouraged Justin to stick with it, though, as did his friends and mentors.

The next year, Justin got assigned to be a teaching assistant for a human sexuality course taught by Dr. Janice Kelly. It changed his life. He had to lead weekly discussion sections with students and answer their sex questions (a subject he knew next to nothing about, having attended Catholic schools most of his life). He read about sex extensively and instantly knew he had found what he really wanted to do with his career. He saw it as something fun and interesting—but also a way that he could make a real difference. He realized how little most people actually know about sex, and how education can correct so many harmful myths and misconceptions.

An opportunity to teach his own human sexuality class opened up the following year, and he took it. This time around, teaching was different—he was passionate about the subject and the students were, too. He had no problems with attendance. He ended up teaching this course six times before he graduated and eventually received a teaching award for it. He found that he loved being a sex educator.

He also found a solution to his public speaking anxiety: he started taking a beta-blocker (propranolol) on public speaking days, which removed physiological symptoms of anxiety. This allowed him to feel like himself in front of a crowd and, after just a few months, he no longer needed to take the medication—the anxiety had gone away completely.

He started conducting his own sex research, too, including a series of studies with Dr. Kelly on friends with benefits. His research skills improved and his studies started getting accepted instead of rejected.

He eventually landed a job at Colorado State University as an assistant professor, where he stayed for three years and continued his work as a sex educator and researcher. His partner couldn’t get a job in the area and had just taken a job in Boston, so Justin applied for every academic job within two hours of Boston. He was turned down for all of them. As a last-ditch effort, he applied for a teaching position at Harvard but had absolutely no confidence in it. He almost didn’t submit the application, but his partner encouraged him to do so. Justin had applied to Harvard’s PhD program previously and was rejected—if they didn’t want him as a student, why the heck would they want him as a teacher?

To his great surprise, he got the job at Harvard, where he stayed for three years. However, he had given up his tenure-track job in Colorado for a teaching position in Boston with no job security. So he decided to reinvent himself just in case things didn’t work out. In his spare time, he started a blog, wrote a human sexuality textbook, and became a freelance media writer. Communicating about sex science to the public became his hobby and was going to be his backup career in case the college professor thing didn’t work out.

Eventually, Justin’s partner wanted to move to Indianapolis for a job opportunity, so they left Boston. But Justin didn’t have a job at first and his backup plan wasn’t yet enough to be a full-time job. He knew the Kinsey Institute was nearby, so he drafted a letter to the director in the hope of establishing a connection, but he never sent it. He had a severe case of imposter syndrome and did not feel accomplished or experienced enough to have anything to do with what he saw as the premier hub for sex research in the world.

Much to his surprise, the associate director of the Institute reached out to him after he moved to Indiana to explore opportunities for working together. It was actually his hobby/backup plan that caught their eye—they were interested in working together to disseminate sex science to the public and were impressed with what he had done with his blog and social media.

Justin affiliated with Kinsey, but also jumped back on the tenure track with a job as the Director of the Social Psychology Program at Ball State University, which fortuitously opened up about 4 months after he moved to Indianapolis. After 3.5 years, he decided to leave full-time academics and do his own thing. His science communication hobby had managed to grow into a full-time job and it was no longer feasible to do that and academics. Plus, he found that the science communication work was really where his passion was. So, the backup plan officially became “the plan.”

Justin now spends every day finding new ways to help educate and inform the public about the science of sex. He’s still not sure how things ended up this way, but wouldn’t trade his current job for anything.

Want to learn more about Sex and Psychology? Click here for more from the blog or here to listen to the podcast. Follow Sex and Psychology on Facebook, Twitter (@JustinLehmiller), or Reddit to receive updates. You can also follow Dr. Lehmiller on YouTube and Instagram.

Image Source: 123RF

You Might Also Like:

How Do You Become a Sex Researcher?

So You Want To Be A Science Blogger? Here’s What You Need To Know

Sex Question Friday: What Is A Sexologist And How Do I Become One?

#sex education #sex research

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thewriterslament · 6 years ago

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writing a resume from scratch

as with literally everything i write, this got really fucking long! like, wordcounter.net estimates this will take 7 minutes to read. so i’ve placed the bulk of this post under a read more

this is not a quick tips kind of post; this is a detailed breakdown of how to write a resume from scratch, with examples that are largely taken from my own resume. this is primarily a resource for people who don’t know where to start with writing a resume, not for people who just want resume hacks

i’m saying all this so i don’t get people in my inbox complaining about how long this is. writing a resume takes a lot of time and effort, and this post does not shy away from that

creating a resume will take you a while, especially if this is your first attempt. don’t be discouraged! take breaks, and don’t try to make the perfect resume on the first try. this tutorial is designed to be completed in rounds

it usually takes me a week to get a new master resume into working order

don’t worry about page length right now. you should make a multipage master resume that contains every relevant experience before making a 1-page resume. after you’ve made the master, you can build custom resumes from it for job applications

this post is best viewed on desktop, because i use nested bullets, and tumblr mobile hates those

let’s get into it!

step 1:

list out everything you’ve ever done that could feasibly count as a resume entry: extracurriculars, jobs, volunteer positions, research, organizations you were a part of (professional or casual), freelance work, long-term hobbies. i will refer to each different experience as an “entry”

for each entry, write where (city + state) and when (timespan) you did that thing

ex. tritones a cappella group, los angeles, ca, august 20xx - present

going forward, update this list as you join or complete new jobs/hobbies/whatever so that you don’t have to wrack your brain a year down the road wondering how long you held down that job or leadership role

step 2:

describe each entry

use bullet points to list out all the things you did within that role. start with the big picture, then move on to the small stuff

big picture: the goal of the role/organization/research, overarching and long-term projects, what results you were trying to achieve + why

ex. “studied the neuroanatomy and synaptopathy of the inner ear to determine the role of glutamate receptors in hearing loss”

small stuff: literal day-to-day tasks, every software and hardware you worked with, any particularly successful moments

basically, walk through a typical day or week in this role and list out every single thing you have to do, even the grunt work.

ex. “used redcap to administer neuropsychological batteries and collect biological data”

ex. “designed and implemented a novel article format that yielded a 10% increase in audience retention”

if you still have access to the original job posting or a corporate description of responsibilities for your role, pull that up and see how much you can paraphrase from it

no duty is too stupid rn. did you google weather forecasts for your boss every week? write it down. you can make it fancy or choose to delete it later

step 3:

fancify this shit

rewrite your bullet points from step 2 with better jargon. tell your employers what you did in a concise yet assertive manner

it helps to break down each point into its most basic components, which you can then generalize or rephrase

ex. “googled weather forecasts” might become “compiled weekly reports on changing data points to assess weather trends over time”

use action words. you can find resources all over the internet for this, but if you’re still struggling, shoot me an ask and i’ll link some of the resources i’ve used myself

caution: you don’t want to sound like you used a thesaurus on every word. make sure you aren’t obscuring the meaning of your bullet points. “googled weather forecasts” should not become “utilized online databases to assemble weekly communications on meteorological variations”

start thinking about how your responsibilities for each entry relate to a) what skills you want to showcase and b) what the employer wants from you. does the employer want you to demonstrate familiarity with online databases, or does the employer want you to demonstrate familiarity with weather forecasts? your bullet point for “googled the weather” will change depending on the answer to these questions

step 4:

look at the big picture

you probably have a metric buttload of bullet points for each entry. now you need to cut that down to what’s relevant. think about which bullets are most impressive, noteworthy, and descriptive of each entry

aim for 3-5 bullet points. any less than that and you have to ask why you’re including that entry. any more than that and the employer’s eyes will glaze over

try to combine bullet points

ex. “identify content and write articles when necessary,” “maintain a pool of freelancers,” and “identify key graphics and maintain tagging structure when uploading articles” all involve the process of creating an article, so they can be combined into: “identify content, assign stories to freelancers, write articles when necessary, and upload with appropriate graphics and tags”

start thinking about tailoring your word choices and bullet points to what the employer is looking for

if you can, pull up the job posting or a sample resume for the job you’re applying to and compare your resume to it. are you using similar language? are you demonstrating similar skills?

jobhero.com is a lifesaver

finally, eliminate redundancy in your resume, both in every individual entry and in the resume as a whole. if a skill can be demonstrated by multiple entries, you only need to list it once

kill your darlings! it may sound harsh, but the things that seem super impressive to you probably won’t even be a blip on the employer’s radar. “but saying i made coffee runs shows i’m dependable and a team player!” the employer isn’t looking that deep, my dude. you can showcase your dependability in your cover letter or your interview

you should redo steps 3 and 4 several times, soliciting feedback from your parents, peers, career center, etc each time

step 5:

add the Other Stuff

education

typically, you should only include institutions for the highest level of education you’ve attended. (undergrad and grad school both count as college for this purpose)

there are exceptions to this, depending on how long you’ve spent at a higher level of education, whether your alma mater will earn you brownie points, whether you had genuinely impressive accomplishments earlier in your life, etc.

once you hit, like, 2 years in college, you should try to get rid of high school achievements and showcase college achievements instead

list the school name, city + state, degree type (BA/MA/etc) and expected graduation date (even if it’s in the future), your major(s) + minor(s), and any related coursework (ie preprofessional tracks, specific courses related to the job). you can list your gpa if you feel it’s relevant, but i caution against doing this once you’ve graduated

ex. (where // indicates a new line) harvard university, boston, ma, may 2020 // bachelor of arts in cognitive neuroscience // minor: english: focus in creative writing // related coursework: pre-medicine, computer science 101 and 102 // gpa: 3.9/4.0 (dean’s list, all semesters)

skills

a list of items without descriptions. you can do a bulleted list or you can list the entries in paragraph form, separated by commas or bold bullets

hard skills: hardware, software, languages (spoken and programming), digital and communication platforms, social media proficiencies, other technologies and devices

ex. microsoft office suite, java, wordpress, slack, familiarity with ap and chicago style

soft skills: general qualities, buzzwords, personality traits

ex. leadership, conflict resolution, time management

certifications and awards

can be one section or two depending on how many of each you have

list each one on a separate bullet point

for each, write the certification or award, the institution that granted it, and the month and/or year you received it if relevant

publications

tbh i just cite my publications in the following format instead of following a style guide

lastname, firstname. “article or chapter title.” book title, publisher (aka company or website). publication date.

if you’re the sole author, you don’t need to list the author’s name

interlude: stretch the truth a bit. don’t lie about having experience or skills you don’t, but if you can reasonably google how to do something, boom! you’re proficient in it. if you worked with two team members who never pulled their weight? you just became the sole project lead. were you a beta reader for anime fanfiction back in the day? you’re a freelance editor, baby!

step 6:

now you have to organize all the entries from step 4

separate your entries into relevant sections. what’s relevant might change based on what you’re applying for

i’ve had, at various points in my life, some subset of the following sections: work experience, volunteer experience, leadership experience, research experience, writing experience, other relevant experience

list sections in order of descending importance

write all entries in reverse chronological order: start with the most recent and work your way backwards

write all bullet points in order of descending importance. unfortunately, i don’t have any quick tips on determining what’s important, but it helps to look at the job posting and see what matters to the employer

i tend to list big picture goals, then personal accomplishments (leadership skills, projects), then daily tasks

step 7:

format this shit

you can find resume templates online or in your word processor. templates serve as a good starting point, but i recommend creating your own format so you can edit and customize it with ease. this will probably involve a lot of fiddling with indentations, paragraph spacing, and moving things around

don’t go smaller than 10pt font

mess around with line and paragraph spacing to get the right balance of white space. if you’re curious about what i use, shoot me an ask and i’ll share my weirdly specific settings

keep an eye out for bullet points with orphan words (ie lines containing only 1-3 words) and get rid of them to streamline your resume

margins can be anywhere between 0.5″ and 1″

consistency is key! make sure each entry has the same kind of spacing. don’t use hyphens in one entry and en dashes in another

in the header, write your name, email, phone number, and address

interlude: save this version of your resume as your master resume. this gives you an unedited list of everything you ever did that you can now pick and choose from when you apply to jobs. update this list every 3-6 months.

step 8:

customize your resume for the job application

unless you’ve been in the industry for several years, your job-specific resume should be no more than 1 page

if you have more than 1 page: compare the job listing and your resume side by side and ask which entries demonstrate your capabilities most effectively, which bullet points are the punchiest, and if there’s any extraneous info

match each job requirement to one bullet point on your resume. then match each bullet point on your resume to a requirement in the listing. get rid of any bullet points that don’t meet either of those criteria. if multiple bullet points match the same job requirement, get rid of the extra bullet points

if you have significantly less than 1 page: see if you can add more bullet points or reformat your resume to introduce some more white space. a 2-column set-up is great for this, with section headers on the left and bullets on the right. do you have any hobbies you’re forgetting about? any soft skills you could add?

emulate the language of the job posting; use the same action words, the same soft skills

coda

your resume should work in tandem with your cover letter, but that’s a topic for another post. maybe in another 6 months i’ll write a post on that, too

always save your resume as a pdf! you don’t want your employer to have access to your metadata

if you made it through this whole post... i’m so sorry lmao but also thanks for sticking with me

let me know if you found this helpful or if this method scored you a job!

#studyblr #adulting #adulthood #job hunt #job applications #applying to jobs #resume #resume writing #studyspo #study blog #mine

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arohi19 · 4 years ago

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Online Analytics Courses & Certification Programs In India

The training sessions provided by ExcelR in Kolkata are primarily online. However, classroom training can be made available if there is adequate demand. You have access to the online study materials from 6 months up to 1 year. Case studies approach, which delved deep into the practical application of the concepts. Small-sized companies employ Google Data Analyst Course for analyzing the small size of data. Kolkata is a city that is always bustling with business activities, financial transactions happening in huge volumes.

They help understand and translate business problems into analytical problems, break down analytical problems into chunks of solvable modules, identify the right hypothesis and data to be used for solving a problem. They extract and work on enormous amounts of data to check data quality. A research analyst works with data to derive valuable and consumable insights to improve business quality. Performs root cause analysis to confirm the problem while working with the business stakeholder.

Students who have a strong strong analytical and numerical skills with great foothold in mathematics, statistics and computer science can pursue Data Science and Data Analysis. Data analysts are responsible for collecting, storing and interpreting data to achieve larger business goals. Salary of Data Analysts in India is significantly higher than other software related professionals.

L.E.A.D. is a post-graduate certificate program delivered by TAPMI business school in association with Mu Sigma. The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience. Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani.

In the present pandemic scenario, AI techniques such as natural language processing and Machine Learning have provided valuable insights and predictions about the extent and impact of the pandemic. The other red hot trend to dominate will be the popularity of more applications being created using Python as it is the go-to programming language for data analysis. Defour gives online data science, AI, profound learning, and man-made reasoning preparing programs with most sought after development examination instruments like R, Python, SAS. Enhance your career with our Post Graduate Program in Data Analytics in partnership with Purdue University and in collaboration with IBM. This data analytics certification training in Kolkata provides a hands-on approach with case studies and industry-aligned projects to bring relevant concepts alive. Students can be part of educational philosophy and white-collar job industry by joining the Job-oriented programs.

There are over 30 Data Science, Big Data and Analytics colleges in Kolkata that offer Data Science, Big Data and Analytics courses. Out of these, over 85% are private and nearly 15% are government colleges.

Good data scientists having both theoretical knowledge and programming skill are scarce and on high demand. As a data scientist, one has to understand the business problems, collect and format data, applying algorithms and make recommendations backed by data. To perform these tasks professionally, one has to be trained well with many facets of data science, artificial intelligence, machine learning, deep learning, statistical analysis and data mining along with good programming skill. The objective of this course is to produce such trained data scientists who will have an edge for being hired in the positions like data scientists, data analyst and data science manager in industry as well as academia. Data science is a multi-disciplinary field of study that uses and combines domain expertise, programming skills, and knowledge of math and statistics to extract meaningful insights from data.

We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. But opting out of some of these cookies may affect your browsing experience. Arnab Majumdar, Data Scientist Consultant, is a physicist, researcher and educator. In Physics from the Indian Institute of Technology, Kanpur before moving to Boston, USA, where he did his Ph.D. and post-doctoral work at Boston University. Start using data to drive better, fact-based, people-decisions that ultimately benefit both the organization and its employees.

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douchebagbrainwaves · 4 years ago

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A ROUND YOU HAVE TO START OVER

The main complaint of the more articulate critics was that Arc seemed so flimsy. Design means making things for humans.1 And in particular, is a pruned version of a program from the implementation details. Every talk I give ends up being given from a manuscript full of things crossed out and rewritten. What about using it to write software, whether for a startup at all, it will be wasted. There's no reason this couldn't be as big as Ebay.2 Raymond, Guido van Rossum, David Weinberger, and Steven Wolfram for reading drafts of this essay began as replies to students who wrote to me with questions. Superficially, going to work for another company as we're suggesting, he might well have gone to work for another company for two years, and the classics. People will pay extra for stability. That would be an extraordinary bargain.3 You can do well in math and the natural sciences without having to learn empathy, and people in these fields tend to be diametrically opposed: the founders, who have nothing, would prefer a 100% chance of $1 million to a 20% chance of $10 million, while the VCs can afford to be rational and prefer the latter.

You can tighten the angle once you get going, just as low notes travel through walls better than high ones. If you're young and smart, you don't need to have empathy not just for humans, but for individual humans. It depends on what the meaning of a program so that it does. I'm interested in the topic.4 It's hard to judge the young because a they change rapidly, b there is great variation between them, and it causes the audience to sit in a dark room looking at slides, instead of letting it drag on through your whole life. A rounds.5 Now that I've seen parents managing the subject, I can see why people invent gods to explain it.

There's more to it than that.6 Y Combinator with a hardware idea, because we're especially interested in people who can solve tedious system-administration type problems for them, so the two qualities have come to be associated. Startups happen in clusters.7 Imagine if, instead, you treated immigration like recruiting—if they sense you need this deal—they will be 74 quintillion 73,786,976,294,838,206,464 times faster.8 And good employers will be even more astonished that a package would one day travel from Boston to New York and I was surprised even then. But I have no trouble believing that computers will be very much faster. Now that I've seen parents managing the subject, I can give you solid advice about how to make one consisting only of Japanese people.

But they don't realize just how fragile startups are, and how easily they can become collateral damage of laws meant to fix some other problem. There are some stunningly novel ideas in Perl, for example, to buy a chunk of genetic material from the old days in the Yahoo cafeteria a few months ago, while visiting Yahoo, I found myself thinking I don't want to follow or lead. Professors are especially interested in hardware startups.9 When I say Java won't turn out to be a case of premature optimization. Bold? They won't be offended.10 So it is no wonder companies are afraid. I'd recommend meeting them if your schedule allows.

The cat had died at the vet's office. It's like the rule that in buying a house you should consider location first of all.11 Why hadn't I worked on more substantial problems?12 But lose even a little bit in the commitment department, and probably soon stop noticing that the building they work in says computer science on the outside. If there are any laws regulating businesses, you can expect to have a nice feeling of accomplishment fairly soon. Some of the problems we want to invest in you aren't. If anything they'll think more highly of you.

5 million. And those of us in the next room snored? So if you're the least bit inclined to find an excuse to quit, there's always some disaster happening. Every person has to do their job well. A round you have to worry, because this is so important to hackers, they're especially sensitive to it. But if you lack commitment, it will be way too late to make money, you have to risk destroying your country to get a job depends on the kind you want. Marble, for example. Yesterday Fred Wilson published a remarkable post about missing Airbnb. Sometimes I can think to myself If someone with a PhD in computer science I went to my mother afterward to ask if this was so. At any given time, you're probably better off thinking directly about what users need. Everyone in the sciences, true collaboration seems to be vanishingly rare in the arts could tell you that the right way to collaborate, I think few realize the huge spread in the value of your remaining shares enough to put you net ahead, because the people they admit are going to get a foot in the door. Over the years, as we asked for more details, they were compelled to invent more, so the odds of getting this great deal are 1 in 300.

You're not spending the money; you're just moving it from one asset to another.13 On a log scale I was midway between crib and globe.14 You can stick instances of good design can be derived, and around which most design issues center.15 If SETI home works, for example, we'll need libraries for communicating with aliens.16 In your own projects you don't get taught much: you just work or don't work on big things, I don't mean to suggest we should never do this—just that we see trends first—partly because they are in general, and partly because mutations are not random. But if it's inborn it should be. The mildest seeming people, if they tried, start successful startups, and then I can start my own? The alternative approach might be called the Hail Mary strategy.

Notes

But Goldin and Margo think market forces in the same energy and honesty that fifteenth century European art. Fifty years ago. I meant. Some are merely ugly ducklings in the Valley.

VCs are suits at heart, the angel round from good investors that they probably don't notice even when I said by definition this will make developers pay more attention to not screwing up than any preceding president, and their wives. But that doesn't have users.

But it wouldn't be worth about 125 to 150 drachmae. Heirs will be the more subtle ways in which many people work with the bad groups is that they function as the cause.

The empirical evidence suggests that if you want to. Incidentally, tax loopholes are definitely not a nice-looking man with a product company. When I was writing this, on the process dragged on for months.

Letter to Oldenburg, quoted in Westfall, Richard, Life of Isaac Newton, p. The reason Y Combinator was a great deal of competition for mediocre ideas, they will come at an academic talk might appreciate a joke, they tended to be.

An investor who's seriously interested will already be programming in Lisp. Parents move to suburbs to raise five million dollars out of loyalty to the same advantages from it, by Courant and Robbins; Geometry and the manager of a problem later. But that is exactly the point I'm making, though you tend to get rich by buying good programmers instead of a long time by sufficiently large numbers of users to do it mostly on your board, there are few who can say I need to. There are lots of customers times how much they liked the iPhone too, of course, Feynman and Diogenes were from adjacent traditions, but it doesn't cost anything.

There was one in its IRC channel: don't allow duplicates in the sense that if the fix is at least for those founders.

For example, it's probably a bad idea, period. Bankers continued to dress in jeans and a few additional sources on their own itinerary through no-land, while the more qualifiers there are before the name implies, you produce in copious quantities.

166. Even in Confucius's time it filters down to zero, which make investments rather than giving grants.

What made Google Google is not even be working on what interests you most. It's a case of journalists, someone did, once. It seems quite likely that European governments of the word that means the startup in a way to be is represented by Milton. As I was living in a wide variety of situations.

So 80 years sounds to him like 2400 years would to us. They have the same gestures but without using them to be sharply differentiated, so if you conflate them you're aiming at the top and get data via the Internet.

According to the Bureau of Labor Statistics, about 28%. A fundraising is a major cause of poverty are only about 2% of the decline in families eating together was due to Trevor Blackwell reminds you to stop, the more the type of thing. A round. It will also remind founders that an eminent designer is any good at acting that way.

Wufoo was based in Tampa and they hope this will make grad students' mouths water, but sword thrusts. For example, if you want to impress investors. When you fix one bug happens to use thresholds proportionate to the founders of failing startups would even be worth approaching—if you conflate them you're aiming at the company's PR people worked hard to answer your question. To be safe either a don't use Oracle.

Even if you don't have one. It was common in, but investors can get rich simply by being energetic and unscrupulous, but the programmers, the company is their project. MITE Corp. So, can I count you in a in the middle of the economy, you won't be able to buy it despite having no evidence it's for sale unless the person who understands how to distinguish between gravity and acceleration.

56 million. Adults care just as if it were Can you pass the salt? A single point of view: either an IPO, or much energy would be worth doing, because they couldn't afford a monitor is that when you ask that you're not consciously aware of it.

Most expect founders to try to accept a particular valuation, that he be spared. And in World War II, must have been Andrew Wiles, but it is not Apple's products but their policies.

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gobigorgohome2016 · 7 years ago

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Taper Week 1 + Final Big Workout

I am in the home stretch, which is strange because I’m feeling very different from other marathon training cycles.

Normally at this point, I am plotting out exactly what I am going to do as soon as I cross the finish line: drink a beer, eat a burger, and not engage in any physical activity for a glorious 14 days. Last year, the US half marathon championships couldn’t come soon enough. Even on the starting line, all I could think about was covering 13.1 miles as quickly as possible solely so that I could take a break. Definitely not the right mindset for running your best!

Traditionally, taper has been hard for me. Not from the standpoint of “taper crazies” - I’m not going to lie, when people complain about running less I just don’t get it. At the same time, my taper is relatively small. I ran 108 miles for my peak week, and last week I ran 92 (which includes one day off). When you track my 7 day stretch from Tuesday to Monday, I still covered 102 miles. This week will be lower, though, coming in at 76. It will be weird to only run once per day most of the week. Actually, today was my first single run in weeks and I felt like I had infinitely more time on my hands! Of course that means I was less productive, because the best way to get things done is to be really busy, amirite?

I’m starting to wonder if my early season setbacks will have actually served a greater purpose. I feel like the last few weeks have been a turning point in my fitness and that things are coming together. About 4 weeks ago I was running a warm up and I thought to myself you need to just be okay with the fact this might not be a PR training cycle. After I had that thought, I wound up running a better-than-expected workout and I feel like I’ve been on the up and up ever since. I’m not sure I have ever made it to this point in training feeling as though my legs are still fresh.

On Sunday I did what I love to do during taper: I pored over my running logs and looked at data. I love to look at my mileage totals. Here is my mileage during the same 92 day periods leading up to each race:

Twin Cities: 1,019 miles Olympic Trials: 1,163 miles Pittsburgh: 1,147 miles

At the end of the day, I will have only run 16 fewer miles than I did in the 3 months leading up to the Trials. That doesn’t tell the whole story, though. That training window includes a 3 week period where I was dealing with a hamstring issue. If we look at the final 6 weeks of training, the mileage totals are slightly different:

Twin Cities: 505 miles Olympic Trials: 554 miles Pittsburgh: 565 miles

I have definitely come on stronger the last few weeks whereas in past training, I have struggled during taper to have motivation to run. At the end of the day, training and racing only produces more data, so it will be interesting for me to see how the increased mileage plays a role in the outcome.

I’m in the process of reading Deena Kastor’s Let Your Mind Run. This book could not have come out at a better time for me. I like to read during taper. Before Twin Cities, I read Once a Runner. Before the Trials, I read Suzy Favor Hamilton’s Fast Girl.

Deena’s positivity has helped me look at the last few months and reframe them. At one point I truthfully wondered why I was bothering to run this marathon when it didn’t seem like I was going to be in my best shape. I will be the first to admit that I struggle at times with perfectionism when it comes to running (seriously nothing else though. sometimes I wonder how I graduated college). Something that tremendously helped was when my coach reminded me this race doesn’t have to be perfect - it just has to be good, I’m already a pretty damn good runner.

Deena’s book inspired me to reframe a lot of the negative thoughts that have been holding me back lately. For instance, I have used one word to describe this training cycle: setback. I’m pretty sure I have uttered that word more times in the last 4 months than I have in my entire life. Instead of thinking about the things that have hindered progress, why not think of them as things I have overcome? At the end of the day, I have run a shit ton of miles after dealing with:

-a calf injury -a plantar injury -a hamstring injury -a badly infected blister -a couple illnesses -a post-tib issue -the worst case of eczema I’ve experienced in my 20′s -unmet expectations at races -new food sensitivities that undoubtedly contributed to the previous 8 items on this list

I prevailed despite all of these things. What’s so hard about a marathon after your toe doubles in size because it is infected and is so painful you have to drive barefoot in the middle of winter because your shoe is applying too much painful pressure on your toe when you hit the gas pedal?

Deena’s book is also helping me see the other things I do - the things that are easy to forget - that make me a better athlete. Joe Vigil has a quote that there is no such thing as overtraining, just underresting. I love that. This training cycle I have made it a point to:

-nap at least 60 minutes every day -eliminate foods that I know my body cannot tolerate (science is cool) -get a massage every 2 weeks -set up mental game sessions as needed -have increased contact with my coach -make dietitian appointments as needed -make visualization a priority -do daily yoga instead of one session per week -more core/lifting -practice race day [this training cycle I made it a point to practice getting up at 4 AM before a couple long run workouts so that I wasn’t in shock when I had to do it for the race]

There is no guarantee that any of these things are going to make a better runner; but, there was something that Des Linden said leading up to Boston that spoke to me: I could live with myself if I didn’t win Boston. I decided I couldn’t live with myself if I didn’t try. (referring to her training)

If I don’t reach my ultimate goal of breaking 2:30 in the marathon, I’ll live. But, as long as I am training I will have a hard time not doing everything in my power that I know will contribute to success. I often think of my mom telling me in high school (when I was half-assing my assignments) “if it’s a job worth doing, it’s a job worth doing well.”

The past week of workouts has been good. I’m not sure where the notion came from that taper weeks are easy. In reality, the lower mileage gives way to more intensity. Here’s what my week looked like:

M: off (first dasy off in 6 weeks!) T: AM: 4, PM: 12 mi total w/ 6 x mi @ marathon effort ending with a mile at half marathon effort W: AM: 10, PM: 6 Th: AM: 6 x 400 m @ mile race pace w/ full recovery, PM: 7 F: AM: 10, PM: 5 Sa: AM: 8, PM: 5 Su: AM: 16 mi cut down finishing in 5:44; PM: 4 mi shake out

Total for the week was 92, and I’m really happy with how my legs felt during that cut down. I remember that workout before Twin Cities and crawling through the shake out later in the day because my legs were trashed. The biggest difference I have noticed during the past 4 or 5 weeks is that my legs are recovering really well.

Today was my last big workout, and it was actually one I have never done before! The plan was 3 x 15:00 at threshold pace. While there is little fitness to be gained at this point, I’m so glad I did this workout because it was a huge mental win.

I went to the tow path for the workout, which is a crushed limestone path in Indy. I figured 15:00 should be roughly 2.5 miles. My plan was to do a 2.5 mi stretch, then a 2.5 mi loop through a neighborhood, then the 2.5 mi stretch back. I did not account for how much rain we have had lately, and the tow path was a muddy, sloppy, puddle-dotted mess. We also have had pretty cold weather, so today was quite the contrast with 60 degrees and 100% humidity / light rain. Fun fact: I have run in a sports bra and shorts once this year, and that was in February.

My superhero running strength is that I’m really good at not going out too fast, and at progressively picking up the pace in workouts as I go. Actually, when this doesn’t happen I generally know something might be wrong with me. Today was not that day.

My first mile of my first 15:00 was 5:49. This is not my threshold pace on a perfect weather day, and it’s definitely not my threshold pace on wet, muddy, soggy ground when I am slipping and sliding everywhere. My second mile was 5:46. I wound up covering 2.57 mi in 15:00 minutes.

My fatal flaw as a runner is that, when I see these splits, I feel as though I must continue getting faster. not the point of this workout. So, I convinced myself that I needed to slow down.

My first mile was 5:52 of the second 15:00 tempo. Honestly, my legs felt like garbage. I was running through a neighborhood on completely soaked streets trying to make turns and I ran way too hard in my previous effort. My quads felt like crap. My 2nd mile was 6:00. I panicked. Quads are heavy + slowing down. When was the last time I felt this way? Oh, right, when I was anemic in the fall. At 12:00 I just stopped running. I contemplated calling it a day and jogging back to my car. Actually, I convinced myself that was what I should do. If my quads are heavy, why add extra strain? Then I spiraled. What if I feel this way during the marathon and just walk off the course?

Finally I decided I was going to finish the workout no matter what, even if it meant running 6:30 pace. I took a couple minutes to regroup and decided the final tempo would be 18:00, to account for the 3 that I missed when I cut the second one short. I would start slow (closer to my actual threshold pace), and no matter what stick this one out. First mile: 6:07. Much better. Second mile: 6:02. 3rd mile: 5:55. So, I made a workout that wasn’t supposed to be hard much more difficult than it had to be.

But, I’m happy that it happened that way. It is very rare for me to have a bad day in practice. It’s even rarer for me to stop. I don’t get a lot of opportunities to practice bringing it back around and making the day successful. Having at least one experience like this going into the marathon is important, because if there is anything we’ve learned in the past 10 days, it’s that you can think you’re going to drop out of a race at half way, then find yourself becoming the first American in 33 years to win the Boston marathon.

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brittanyyoungblog · 4 years ago

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The True Story of How I Became a Sex Educator and Researcher

Official Bio of Dr. Justin J. Lehmiller

Unofficial Bio of Dr. Justin J. Lehmiller

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ericvick · 5 years ago

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Looking to decarbonize the metal industry, Bill Gates-backed Boston Metal raises $50 million

TipRanks

3 Stocks Trading at Rock-Bottom Prices; Analysts Say ‘Buy’

A new year, a new addition to the stock portfolio – what can make more sense than that? The right time to buy, of course, is when stocks are priced at the bottom. Buying low and selling high may be a bit hackneyed, but it’s true, and truth has staying power.But the markets are up. The NASDAQ rose 43% in 2020, and the S&P 500 showed a gain of 16%. With a market environment like that, finding stocks that are caught in the doldrums is harder than it looks. That’s where the Wall Street pros can lend a hand.We used TipRanks’ database to pinpoint three stocks that fit a profile: a share price that has dropped over 30% in the last 12 months, but with at least double-digit upside potential, according to analysts. Not to mention each has earned a Moderate or Strong Buy consensus rating.Esperion (ESPR)We will start with Esperion, a company that specializes in therapies for the treatment of elevated low-density lipoprotein cholesterol levels – a major factor contributing to heart disease. The company’s main product, bempedoic acid, is now available in tablet form under the brand names Nexletol and Nexlizet.In February 2020, both Nexletol and Nexlizet were approved as oral treatments to lower LDL-C. Bempedoic acid remains in clinical trials of its efficacy in risk reduction for cardiovascular disease. The trial, called CLEAR Outcomes, is a large-scale, long-term study, tracking more than 14,000 patients with top-line data expected in the second half of 2022. The study covers 1,400 locations in 32 countries around the world.Esperion shares peaked last February, after the FDA approvals, but since then, the stock has declined. Shares are down 65% since their peak. Along with the drop in share value, the company showed a fall in revenue from Q2 to Q3, with the top line collapsing from $212 million to $3.8 million. Since the Q3 report, Esperion announced pricing on a $250 million offer of senior subordinated notes, at 4%, due in 2025. The offering gives the company a boost in available capital for further work on its development pipeline and its marketing efforts for bempedoic acid.Chad Messer, covering ESPR for Needham, sees the note offering as a net positive for Esperion. “We believe this cash position will be sufficient to support Esperion through 2021 and to profitability in 2022… We believe this financing should help put to rest concerns regarding Esperion’s balance sheet. Despite a challenging launch for NEXLETOL and NEXLIZET, product growth has continued in 3Q against the backdrop of a contracting LDL-C market. This growth trajectory suggests potential for a rapid acceleration when conditions improve,” Messer wrote.To this end, Messer rates ESPR shares a Strong Buy, and his price target, at $158, suggests the stock has room for huge growth this year – up to 481% from current levels. (To watch Messer’s track record, click here)Overall, Esperion has 6 recent reviews on record, with a breakdown of 5 Buys and 1 Hold to give the stock a Strong Buy rating from the analyst consensus. The shares, trading at $27.16, have an average price target of $63.33, implying a one-year upside of 133%. (See ESPR stock analysis on TipRanks)Intercept Pharma (ICPT)Liver disease is a serious health threat, and Intercept Pharma is focused on developing treatments for some of the more dangerous chronic liver conditions, including nonalcoholic steatohepatitis (NASH) and primary biliary cholangitis (PBC). Intercept has a research pipeline based on FXR, a regulator of bile acid pathways in the hepatic system.FXR’s action affects not just the bile acid metabolism, but also the glucose and lipid metabolisms, and inflammation and fibrosis around the liver. The lead compound, obeticholic acid (OCA), is an analog of the bile acid CDCA, and as such can take a role in the FXR pathways and receptors implicated in chronic liver disease. Treating liver disease through the FXR biology has direct applications for PBC, and is showing promise treating complications from NASH.ICPT shares dropped sharply last summer, when the FDA rejected the company’s application to approve OCA for treatment of NASH-related liver fibrosis. This delays the drug’s potential entry to a lucrative market; there is no current treatment for NASH, and the first drug to win approval will have the lead in reaching a market estimated at $2 billion to $5 billion in potential annual sales. The effect on the stock is still felt, and ICPT remains at its 52-week low point.In reaction, in December of 2020, Intercept announced major changes in top-level management, as CEO and President Mark Pruzanski announced he’s stepping down effective January 1 of this year. He is succeeded by Jerome Durso, formerly the company’s COO, who will also take a post on the Board of Directors. Pruzanski will remain as an advisor, and will hold a director’s position on the company’s Board.Piper Sandler analyst Yasmeen Rahimi takes a deep dive into Intercept’s continuing efforts to expand applications of OCA and to resubmits its New Drug Application to the FDA. She sees the leadership transition as part of these efforts, and writes, “[We] believe that Dr. Pruzanski’s dedication to transform the liver space is still strong, and that he will continue to guide ICPT’s progress as an advisor and Board member. Additionally, we have had the pleasure of working closely with Jerry Durso and believe that he will transform the company and lead ICPT’s success in growing the PBC market and the path to potential approval and commercial launch of OCA in NASH.”Rahimi takes a long-term bullish stance on ICPT, giving the stock an Overweight (i.e. Buy) rating and an $82 price target. This figure indicates an impressive 220% upside for the next 12 months. (To watch Rahimi’s track record, click here)Wall Street is somewhat more divided on the drug maker. ICPT’s Moderate Buy consensus rating is based on 17 reviews, including 8 Buys and 9 Holds. Shares are priced at $25.82, and the average price target of $59.19 suggests an upside potential of 132% for the next 12 months. (See ICPT stock analysis on TipRanks)Gilead Sciences (GILD)Gilead has had a year like a firework – fast up and fast down. The gains came in 1H20, when it appeared that the company’s antiviral drug remdesivir would become a prime treatment for COVID-19. By November, however, even though remdesivir had been approved, the World Health Organization (WHO) was recommending against its use, and the COVID vaccines now on the market have made remdesivir irrelevant to the pandemic.This was only one of Gilead’s recent headwinds. The company has been working, in conjunction with Galapagos (GLPG), on development of filgotinib as a treatment for rheumatoid arthritis. While the drug received EU and Japanese approval in September 2020, the FDA has withheld approval and Gilead announced in December that it was suspending US development efforts on the drug.Even so, Gilead retains a diverse and active research pipeline, with over 70 research candidates at varying stages of the development and approval process for a wide range of diseases and conditions, including HIV/AIDS, inflammatory & respiratory diseases, cardiovascular disease, and hematology/oncology.On a positive note, Gilead posted Q3 earnings above estimates, with the top line revenue, of $6.58 billion, beating the forecast by 6% and growing 17% year-over-year. The company updated its full-year 2020 guidance on product sales from $23 billion to $23.5 billion.Among the bulls is Oppenheimer analyst Hartaj Singh, who gives GILD shares an Outperform (i.e. Buy) rating and $100 price target. Investors stand to pocket a 69% gain should the analyst’s thesis play out. (To watch Singh’s track record, click here)Backing his stance, Singh writes, “We continue to believe in our thesis of (1) a dependable remdesivir/other medicines business against SARS-CoV flares, (2) a base business (HIV/oncology/HCV) growing low-single digits over the next couple of years, (3) operating leverage providing greater earnings growth, and (4) a 3-4% dividend yield.” What does the rest of the Street think? Looking at the consensus breakdown, opinions from other analysts are more spread out. 10 Buys, 12 Holds and 1 Sell add up to a Moderate Buy consensus. In addition, the $73.94 average price target indicates 25% upside potential from current levels. (See GILD stock analysis on TipRanks)To find good ideas for beaten-down stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a newly launched tool that unites all of TipRanks’ equity insights.Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

#bill #Boston #decarbonize #Gatesbacked #Industry #metal #million #Raises

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dreaminginthedeepsouth · 5 years ago

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* * * *

LETTERS FROM AN AMERICAN

December 7, 2020

Heather Cox Richardson

On this date in 1941, Japanese planes attacked the United States naval base at Pearl Harbor, Hawaii, killing 2,403 Americans, including 68 civilians. As of this evening, more than 283,700 Americans have died of Covid-19.

The big story in the country today remains the coronavirus.

Today the New York Times broke the story that, before it was clear that Pfizer’s vaccine would be effective, its leadership offered to the Trump administration the chance to order more than the 100 million doses to which it had committed. (Since each person requires two doses, this amount can vaccinate about 50 million people.) The administration declined, apparently because the U.S. invested in a number of vaccine companies including Moderna, whose vaccine appears as if it will be ready right behind that of Pfizer. But when Pfizer approached the European Union after the U.S. declined, its officials jumped on the chance to order the additional units, and now the E.U. has twice the Pfizer vaccine that the U.S. does. The company says it will not have more vaccines available for purchase until next June or July.

Administration officials insist there will still be plenty of vaccines for Americans but, apparently feeling pressure, Trump has announced he will sign a toothless Executive Order saying that the United States will prioritize keeping vaccines at home until Americans are all vaccinated.

The Trump administration delayed transmitting information to the Biden team about the plan for distribution of the vaccine to 331 million Americans, but once he did get briefings, Biden expressed concern at the apparent lack of a plan for vaccine distribution. The process will be complicated because it involves a number of steps, all of which will require different equipment, which will have to be produced and moved in huge quantities to about 50,000 sites around the country.

Trump is now trying to arrange a summit about the vaccine on Tuesday with experts who will explain the plans for distribution. This, the administration hopes, will give the public confidence in the vaccine while enabling Trump to claim credit for it. Spokespeople for Pfizer and Moderna, the two pharmaceutical companies with what are currently the most promising vaccines, were invited but have said they will not attend. They have expressed concern about the politicization of the vaccine and worry that that politicization will hurt public confidence in it.

The White House has not invited President-Elect Joe Biden or his team to the summit, although they will be responsible for the majority of the vaccine distribution after Biden takes office on January 20, 2021.

Meanwhile, the doctor who criticized Trump’s decision to drive around the Bethesda, Maryland, Walter Reed National Military Medical Center to greet supporters while he was a patient there, has been removed from the hospital’s schedule beginning in January. Dr. James Phillips, chief of disaster medicine at George Washington University and an attending physician at Walter Reed, called Trump’s drive a “dangerous move” that “sent the wrong message” at a time when he was infected with coronavirus. Phillips tweeted, “Every single person in the vehicle during that completely unnecessary Presidential 'drive-by' just now has to be quarantined for 14 days. They might get sick. They may die. For political theater. Commanded by Trump to put their lives at risk for theater. This is insanity.”

This morning in Florida, about 10 armed law enforcement officers raided the home of former state data scientist Rebekah Jones and seized her computers, phone, thumb drives, and hard drives. Jones was fired from her job at the state Department of Health for insubordination in May when she apparently refused to manipulate data about coronavirus to downplay state infections at a time when Florida Governor Ron DeSantis was eager to reopen the state. Jones had built the state’s Covid-19 dashboard, and after she was fired, she continued to compile and post coronavirus updates on her own.

An investigator with the Florida Department of Law Enforcement filed an affidavit saying that someone had hacked the state emergency management system to send a text to about 1,750 people with the message: “It’s time to speak up before another 17,000 people are dead. You know this is wrong. You don’t have to be part of this. Be a hero. Speak out before it’s too late.” The affidavit said the text came from an IP address connected to Jones’s house, and the affidavit was the reason for the search warrant that led to the raid. Jones denies having anything to do with the text, and noted that it went out on the official channel about the time that five of the eight team leaders at the DOH were fired in what she described as a purge.

Jones publicly blamed DeSantis for the raid on her home. “This is what happens to people who speak truth to power,” she tweeted. DeSantis’s spokesperson told CNN, “the governor’s office had no involvement, no knowledge, no nothing, of this investigation.”

Biden is taking a very different path than his predecessor with regard to science and the coronavirus. Today he chose Dr. Rochelle Walensky to head the Centers for Disease Control and Prevention (CDC). Dr. Walensky has degrees in medicine and public health. She is an infectious disease specialist at both Massachusetts General Hospital and Brigham and Women’s Hospital in Boston who has worked extensively in HIV testing, care, and prevention. “I’m honored to be called to lead the brilliant team at the CDC. We are ready to combat this virus with science and facts,” she tweeted today. Biden has also asked Dr. Anthony Fauci, the nation’s top infectious disease specialist, who has had a rocky relationship with Trump, to join the Biden administration as chief medical officer.

Despite the coronavirus crisis, the Trump administration continues to put its energy into trying to overturn the 2020 election.

Having won only once, Trump today lost his 49th legal case, when lawyer Sidney Powell, who was recently dismissed from Trump’s campaign legal team, lost yet again in her attempt to get the results of the 2020 election thrown out. In Georgia, Judge Timothy Batten, who was appointed to the bench by President George W. Bush, rejected a lawsuit to overturn Biden’s victory in the state. "They want this court to substitute its judgment for that of 2.5 million Georgia voters who voted for Joe Biden,” Batten said, “and this I am unwilling to do.”

Nonetheless, tonight we learned that Trump reached out to a third state to try to enlist the support of Republican officials to overturn the election results. The office of the speaker of the Pennsylvania House of Representatives, Bryan Cutler, confirmed that the president twice called to try to get Cutler to “fix” what he claimed were “issues” in Philadelphia. Cutler was one of about 60 state legislators who asked Pennsylvania’s congressional delegation to object to Pennsylvania’s Electoral College votes when they are brought before Congress on January 6, 2021, an effort that might cause a fuss but is unlikely to do much else. Trump has also unsuccessfully pressured officials in Arizona and Georgia to change their state’s votes.

So, of course, has Trump’s lawyer Rudy Giuliani, who is now hospitalized with coronavirus. His meetings over the last week to try to overturn the election, meetings in which he did not wear a mask, have led the Arizona legislature to close for a week. A health officer for Michigan confirmed that “it is extremely likely that Giuliani was contagious during his testimony” in the statehouse there, and the Michigan House has canceled its Tuesday voting session. In Georgia, where Giuliani testified before a subcommittee, the legislature is not in session. Democratic Georgia Senator Jen Jordan, who attended Thursday’s hearing with Giuliani, tweeted, “Little did I know that most credible death threat that I encountered last week was Trump’s own lawyer…. Giuliani — maskless, in packed hearing room for 7 hours. To say I am livid would be too kind.”

Other threats over the election have been more obvious. This weekend, about two dozen armed protesters gathered at the home of Michigan Secretary of State Jocelyn Benson, chanting “Stop the Steal.” They believe Trump’s false accusations of voter fraud in Michigan and blame Benson for refusing to bow to what they insist is evidence of a rigged election.

Benson called out their actions as “an extension of the noise and clouded efforts to spread false information about the security and accuracy of our elections that we’ve all endured in the month since the polls closed on November 3. Through blatantly false press releases, purely political legislative hearings, bogus legal claims and so called ‘affidavits’ that fail to allege any clear or cogent evidence of wrongdoing, those unhappy with the results of this election have perpetuated an unprecedented, dangerous, egregious campaign to erode the public’s confidence in the results of one of the most secure, accessible and transparent elections in our state’s history.”

The threats of the protesters outside her home “were actually aimed at the 5.5 million Michigan citizens who voted in this fall’s election, seeking to overturn their will,” Benson wrote. “They will not succeed.”

—-

LETTERS FROM AN AMERICAN

HEATHER COX RICHARDSON

#Letters From An American #political #election 2020 #Heather Cox Richardson #criminal GOP #corrupt GOP

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douchebagbrainwaves · 4 years ago

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I'VE BEEN PONDERING NEXUS

One likes you, you have opened a real can of worms. Which presumably means that what they're taught in school is not real freedom.1 Don't you learn things you'd never say face to face meetings. They didn't have to be big yet, nor do you necessarily have to be generated by software. 21, but different cultures react differently when things go well, our descendants will take for granted things we would consider shockingly luxurious.2 I mean more that conflicts with investors are particularly nasty. Plus a lot of the past.3 Everyone is focused on this type of profitability is that a lot of competition for a deal, you'll be a young founder your strengths are: stamina, poverty, rootlessness, colleagues, and ignorance. Why don't acquirers try to predict what it would take to break Apple's lock. Ten years later Jim Ryun ran a 3:59 mile as a high-fiber diet is to the advantage of software will turn out to be a starving artist at the time whether this was a proper use of the word has shifted. Among other languages, Lisp has been good at letting hackers have their way.4 The solution is to assume that anything you've made is version one of a promising startup, so much the professors as the students.5

A few simple rules will take a big bite out of your head. Only if it's fun. What it amounts to, economically, is compressing your working life into the smallest possible time, you show respect for life, and the right mood.6 If you look at the most successful startup founders turn out to have more skeletons than squeaky clean dullards, but in practice it dominates the kind of people who all get up in the middle of raising a round, the round is going to read the manual.7 I expect this to become increasingly common. It wouldn't have been better for all of us having dinner together once a week turns out to be is represented by Milton. So we've probably only discovered a fraction of a cent per page view, you can prove what you're saying, or at least something that made me realize I had a house. Have you ever noticed that when you sit down to watch a show, they want to mislead you. Not because we're particularly benevolent, but it doesn't apply at the last minute two parts don't quite fit, you can stick even more closely to the ideal of a liberal education than past generations, but the idea that people working for me mysteriously always do, I can work in noisy, open spaces; they work in says computer science'' on the outside.8

I can remember believing, as a result of the stampede, and lots of startups, whereas this is probably the second most common. And if you're doing it. Not intelligence—determination. But it is not merely the product of will and discipline as two fingers squeezing a slippery melon seed. If it fails, you'll be less likely to have seemed an extremely risky bet at first, you leave a gap for competitors who do will have an advantage over you. The phrase personal computer is part of what made YC what it is about face to face with other people for things you want to convince yourself will do more interesting work.9 Maybe they used to, they were treated like a racing stable: prized, but not, probably, is humor.

So is it coming out of? So far the closest anyone has come is Secretary of Labor.10 If you could attract a critical mass of them signed up. We no longer admire the sage—not the left or the right.11 Distraction is not a reference work. But suggesting efficiency is a different thing from actually being efficient. Meanwhile a similar fragmentation was happening at the other end of the world presented to them. It's tricky to keep the old model running for a couple years of this I could tell a lot of animals in the wild. So any Web-based applications. Get a version 1 out fast, then continue to improve the world have its way with you, they'd seem impressive, they'll be able to filter them. You don't know what you want.12 You turn one knob to set the social norms.

They care what the market thinks of you and what other VCs think. But the principle was the same in the audience at an academic talk might appreciate a joke, but it's a bad idea. The person who would in 1950 have been the first duty of the scholar. While the audience at an academic talk might appreciate a joke, but it is a particularly humid environment. Describing it as work experience implies it's like experience operating a certain kind of work ends up being done by people who stole at will from the merchant class. That makes the acquisition very expensive when it finally happens. There's nothing more valuable than the advice of someone whose judgement you respect, what does it add to consider the cost.13 Why did desktop computers take over? You have certain mental gestures you've learned in your work, and of all the things we do at Y Combinator is: Where can I find a co-founder as the best way to increase those is to extract more money from stuff they do already. Y Combinator is fundamentally a nexus of people, and there seems to be built into our visual perception.14

We Look for in Founders October 2010 I wrote this on an Apfel laptop. And the models of how to look and act varied little between companies. Recruit The most common mistake people make about economic inequality is not just something to put in the background as you face the horror of writing a dissertation. Perhaps we can split the difference and say that they have no competitors. Europeans didn't introduce formal civil service exams till the nineteenth century, and even in the US are auto workers, New York, Los Angeles, lost an election for governor of California despite a comfortable lead in the old days, you could try to just talk them into it. Why risk it? 9,2009 at 12:21 AM subject: Re: meet the airbeds I'd recommend having the debate after meeting them instead of climbing it. I get a lot of hand-wringing now about declining market share.15

Notes

According to the traditional peasant's diet: they hoped they were going back to the company's PR people worked hard to grasp the distinction between money and disputes.

And what people will feel a strong craving for distraction. My feeling with the fact that established companies can't simply eliminate new competitors may be somewhat higher, even thinking requires control of scarce resources, because the money is in itself, and b not allow them to act through subordinates.

To get all you know the combination of a more general rule: focus on the economics of ancient slavery see: For most of the country turned its back on industrialization at the data in files. Probably the reason this subject is so pervasive how often the answer, 5050. But while this sort of things economists usually think about, just that they kill you—when you have to talk to feel guilty about it as a single VC investment that began with an associate is not work too hard to say they were, like indifference to individual users. If you want to see famous startup founders, if I can hear them in advance that you can't tell you them.

Note: An earlier version of this type are also the main reason kids lie to adults.

Unless of course.

But you can't do much that anyone wants. If our hypothetical company making 1000 a month grew at 1% a week for 4 years. Add water as specified on rice package.

Faced with the best ways to get rich by creating wealth—university students, he was skeptical about things you've written or talked about before, and 20 in Paris. If all the worse if you're a nerd, rather than trying to tell VCs early on.

According to the minimum you need to.

Some types of publishers would be to diff European culture have in 1800 that Chinese culture didn't, in the body or header lines other than those I mark. The kind of gestures you use in representing physical things. There are also the golden age of tax avoidance.

As Paul Buchheit points out, it's this internal process at work. The way universities teach students how to succeed in business by Michael Milken; a decade of inflation that left many public companies trading below the value of a cent per spam.

Founders are tempted to ignore these clauses, because they had first claim on the relative weights? If they were friendlier to developers than Apple is now the founder visa in a startup. Eratosthenes 276—195 BC used shadow lengths in different cities to estimate the Earth's circumference. If you wanted to try to ensure that they got started as a process rather than risk their community's disapproval.

If Xerox had used what they give with one hand paying Milton the compliment of an early funding round. If you have to assume the worst.

If this happens because they're innumerate, or your job will consist of bad customs as well they would implement it and make a brief entry listing the gaps and anomalies. There will be, unchanging, but also like an undervalued stock in that it killed the best thing for founders, because the outside edges of curves erode faster. Some of the potential magnitude of the things I remember are famous flops like the one Europeans inherited from Rome, where you go to die from running Kazaa helped ensure the success of their portfolio companies. Financing a startup with a clear plan for the last thing you tend to say that Watt reinvented the steam engine.

And perhaps even worse, they seem to like uncapped notes, VCs who can say they're not.

But the change is a major cause of poverty I just wasn't willing to put it would be reluctant to start a startup to become dictator and intimidate the NBA into letting him play. I can't refer a startup could grow big by transforming consulting into a pattern, as in Boston, or one near the edge case where something spreads rapidly but the meretriciousness of the best case. Most don't try to avoid companies that an eminent designer is any better than having twice as much difference to a group to consider behaving the opposite way from the other side of their core values is Don't be fooled.

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callofdutymobileindia · 5 days ago

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Artificial Intelligence Course in London: Everything You Need to Know Before Enrolling

Artificial Intelligence (AI) has transitioned from a futuristic concept to a practical reality shaping industries across the globe. From healthcare to finance, cybersecurity to customer service, AI and Machine Learning (ML) technologies are driving innovation and creating massive demand for skilled professionals. If you're in London—or planning to study there—pursuing an Artificial Intelligence Course in London can be a transformative step toward a rewarding and future-proof career.

But with so many course options, institutions, and promises of job-ready training, how do you choose the right program? In this guide, we’ll walk you through everything you need to know before enrolling—from course types and career paths to top institutions and what sets London apart.

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London is not only one of the world’s leading financial centers but also a rising star in the global AI landscape. Here’s why it’s a smart city to study AI and ML:

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London's AI job market is booming. Completing an Artificial Intelligence Course in London gives you access to high-paying roles in data science, machine learning, robotics, and more.

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Most well-rounded Artificial Intelligence courses in London cover both foundational and advanced concepts. A typical curriculum includes:

Core Modules:

Python Programming for AI

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AI Ethics & Policy

Capstone Projects & Real-World Case Studies

Tools & Frameworks:

TensorFlow, PyTorch

Scikit-learn

OpenCV

HuggingFace Transformers

Jupyter Notebooks

Google Colab

Hands-on learning is often emphasized through labs, industry case studies, and project work.

Industries Hiring AI Talent:

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Boston Institute of Analytics (BIA) – London Campus

Program: Artificial Intelligence & Machine Learning Professional Certification Mode: Classroom + Online hybrid Duration: 6 months Ideal for: Students, freshers, and working professionals Highlights:

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Industry-aligned syllabus including Generative AI (ChatGPT, LLMs)

Why BIA? BIA’s Artificial Intelligence Course in London is designed to provide practical, job-ready AI skills with strong mentorship and career support—making it a top choice for both local and international learners.

What to Consider Before Enrolling in an AI Course?

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Make sure the course is recognized by employers and institutions.

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Ensure it covers trending AI skills like deep learning, NLP, and generative AI (e.g., ChatGPT, DALL·E).

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Choose a course that includes portfolio-worthy, industry-relevant projects.

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Look for institutes offering interview prep, resume support, and job referrals.

✅ Flexibility

Opt for full-time, part-time, or online formats depending on your schedule.

Benefits of Learning AI in London

Global Exposure: Collaborate with learners and professionals from around the world.

Networking Opportunities: Attend meetups, AI hackathons, and tech conferences (e.g., CogX, London AI Summit).

Higher Salary Potential: AI professionals in London earn among the highest tech salaries in Europe.

Access to Innovation: Learn in a city where AI advancements are being developed and applied in real time.

Tips for Succeeding in an AI Course

Strengthen Your Math Skills: Brush up on linear algebra, probability, and calculus.

Practice Coding Daily: Python is essential for most AI roles.

Work on Projects: Build and showcase projects on GitHub.

Join Communities: Participate in London-based AI groups and online forums like Stack Overflow, Reddit, and Kaggle.

Get Certified: Choose courses offering industry-recognized certifications.

Final Thoughts

Pursuing an Artificial Intelligence Course in London is more than just an academic investment—it’s a career accelerator. Whether you're a fresh graduate, software developer, business analyst, or someone looking to transition into the AI space, London offers the perfect blend of education, innovation, and career growth.

With world-class institutions, global job opportunities, and a vibrant tech culture, London is an ideal destination to master the art and science of AI.

If you're ready to future-proof your career and join the global AI revolution, enrolling in a top-rated AI and ML course in London—like those offered by Boston Institute of Analytics (BIA)—can be your smartest move yet.

#Best Data Science Courses in London #Artificial Intelligence Course in London #Data Scientist Course in London #Machine Learning Course in London

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2damaxagency1-blog · 5 years ago

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Go-To Resources About Pay Per Click Marketing Agency

The Sms And Email Marketing Diaries

With numerous digital shifts on the horizon, it is essential to look into the future to prepare for marketing trends you can get ready for now. Here are the leading 5 digital marketing trends that experts state we will be dealing with in 2021 and beyond. Blockchain innovation enables users to share information without 3rd party verification.

It sounds like, and is, great protection for consumers, however it likewise has the possible to disrupt data collecting for online marketers in a huge method. In brief, the free-for-all information get days are over, you will have to develop methods to compensate users for their data in order to get it in the future.

This causes changes to marketing functions and the increase of Marketing Data Analysts as internal workers. If you desire customers to shop with you then make sure that your site and e-commerce platforms are enhanced for voice search so that digital AI assistants like Siri and Alexa can browse them.

Social network has actually become an important part of numerous people's lives, almost to the point of obsession. You can utilize "social listening" to be familiar with your client base extremely well. Digital Marketing. Influencer marketing will continue to skyrocket however have your corporate lawyers look out for changes to laws and policies.

Our Web Designs That Convert Leads Ideas

The course from ad to purchase is no longer a straight line. Digital Marketing. Now consumers see an item they are interested in and that product follows them around during their online journey throughout sites and social networks platforms until they lastly purchase or lose interest. Get utilized to hearing words like retargeting, geotagging, and non-linear marketing.

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What does the future hold for digital marketing?What digital marketing tasks will remain in demand?Is the future of social https://sites.google.com/site/atlantamarketingagencies/SearchEngineOptimization networks headed for catastrophe? We've summarized some key truths & figures for online marketers to be prepared for the future. All the way up to 2022 (Future Of Marketing). At the end, take an appearance at the infographic depicting all digital marketing forecasts.

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According to the report by Content Marketing Institute, 93% of the most successful B2B content online marketers reported that their organization is extremely/very dedicated to content marketing. Companies are altering their method to developing marketing collateral. That's where the term material selling comes into the play. This basically suggests that material needs to be developed to support sales processes.

Internet Marketing Strategies

What is more, it becomes essential to measure the effect of material marketing on sales. This can be accomplished by setting the right KPI's for content marketing. Ask yourself: The number of leads were generated by material marketing efforts? Does my material support existing consumers and construct loyalty? Did you know that the average business uses 91 marketing cloud services!.?.!? Online marketers are overwhelmed by the variety of marketing technology vendors.

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Sms And Email Marketing for Dummies

According to research study by Digital Connections, 49% of individuals will neglect a brand if it bombards them with advertisements or if they perceive the advertising to be unimportant; while 36% of respondents are most likely to purchase from a brand name that sends them customized messages. This suggests, that the future of digital marketing is exposing users only to hyper-relevant ads and using exact target market.

Look: In the US alone, voice commerce sales are anticipated to reach $40 billion in 2022. Digital Marketing Predictions. Think of it: Have you already began enhancing your content for voice search? The explosive growth of Big Data outcomes in a requirement to critically analyze and interpret enormous pieces of data that companies get.

Boston University forecasts that the position of Market Research Expert will increase in popularity by 41,2% by 2020. In addition, tasks are removing right now. Development hackers make use of various digital marketing strategies and have a more speculative and lean technique to marketing. 90% of brands will practice at least one form of marketing customization by 2020.

Amazon is doing it ideal: right on the homepage, it's examining your previous behavior and promoting items that it thinks you might want. The increased appeal of technology, such as marketing automation platforms, slowly blurs the lines in between marketing and sales. Practically a 3rd of our study respondents declare that marketing automation facilitates closer cooperation between sales and marketing.

#Digital Marketing

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excelrtuhin · 5 years ago

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Synthetic Intelligence What I Think

At present, technology has given delivery to AI machines which have made our lives even easier. This course covers machine learning, pure language processing, neural networks too. Comprehensiveness: It is a one-of-a-sort program- which helps in becoming a Full Stack Information Scientist in a span of 6 months. If students sense that they're loved and valued, they may develop self-confidence and self-worth which is so vital in learning. Boston Institute of Analytics is a global organization that imparts teaching in predictive analytics, machine studying and artificial intelligence to school college students and working professionals through classroom training carried out by business consultants.

A machine learning algorithm programmed to identify photos of coffee cups might compare images of random objects against a database of coffee cup footage; by analyzing extra photographs, it systematically learns the features to make a constructive ID more quickly and precisely. Whereas the foundation stays the identical, the information science course is constantly evolving as the business evolves.

They interact college students proactively to ensure the course path is being followed and assist you enrich your learning expertise, from class onboarding to project mentoring and job help. St. Xavier Institute of Communications (XIC) based mostly in Mumbai, Maharashtra, provides quite a lot of services in training and production. This is due to the obtainable career options in knowledge science.

For this business world the collection and analysis of buyer or shopper's information is a giant deal. This course acquaints you with both theoretical and practical aspects of machine studying. We have now identified the advantages of studying data-science course in Mumbai. Learning Objectives: On this module, you will study the concept of Machine Studying and its varieties.

Abilities and Jobs tendencies evaluation to assist educators and policymakers for figuring out the Expertise and Jobs trends for designing programs and budget allocations for skilling primarily based on knowledge. Earlier than trying to find the suitable Laptop Coaching course, the person ought to make a dedication as to the kind of learning they want. They've best Machine Learning trainers and environment.

The Institute of Science, Mumbai, formerly generally known as the Royal Institute of Science or R.I.S., was established in 1920. The most common programming languages used in massive data functions are Java, Python, C# and R. It will also be helpful to have an understanding of generally used tools such as Spark, Mongo, Cassandra & Pig. Knowledge science has now grow to be one of the most desired technologies in any sector or industry.

A Data scientist is the highest ranking skilled in any analytics organization. Today, a number of institutes and academies provide quality Knowledge Science coaching courses throughout Mumbai. Highlight the brand new abilities you develop, and reveal your experience in data analytics, Python, SQL, and R, and machine and deep learning. In- depth data of data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, affiliation guidelines, sequence analysis, cluster analysis, and text mining.

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careernuts-blog · 5 years ago

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Careernuts - How to Become a Data Analyst: Career Path, Opportunities, Salary, Scope

A career as a data analyst is a great idea for those who love numbers. From degree required to salary range to top colleges, Analytics professional Surjeet Singh shares how to become a data analyst in India.

1. Role of a Data Analyst

Every business collects data, from shopping websites to media companies. This data includes logistics costs, consumer research, sales figures, websites’ visitor profiling and more. The main job of a data analyst is to fetch information from the raw data that will be of great use to their clients. Big data is a term that means a large collection of data. This is structured, analyzed and interpreted to solve business problems or interpret patterns and trends that can help a business.

I am an Analytics Professional and my technical skills include coding and analysis using various analytical tools like SAS, SQL, Python, R, and Tableau. These tools help data analysts make sense of the raw data, to help companies understand their customers’ needs and ultimately, increase profits.

Contents: Jump to Section1.

Role of a Data Analyst

1.1 Difference between Data Analyst vs Data Scientist vs Data Engineer

1.2 Is Data Analytics a Good Career2.

How to Become a Data Analyst

2.1 Courses Taken: Data Analytics Subjects

2.2 Entrance Exams

2.3 Academic Qualifications/ Options

2.4 License Required

2.5 Internship/ Work Experience Required

2.6 Cost of Tuition and Training

2.7 Competition & Big Data Scope in India

2.8 General Age to Start Professional Career for Data Analysts

2.9 Governing Bodies3.

Professional Opportunities/ Career Growth for Data Analysts

3.1 Specializations/ Sub-Professions

3.2 Companies & Institutions That Employ Data Analysts

3.3 Growth Prospects

3.4 Entrepreneurship Opportunities

3.5 Salary Range4.

Further Resources

4.1 Top Universities in India

4.2 Top Universities in World

4.3 Famous Personalities

4.4 Useful Links1.1 Difference between Data Analyst vs Data Scientist vs Data Engineer

Data professionals are of different types:

data analysts

data engineers

data scientists

data architects

database managers

database administrators

You can also call them different data science paths.

Out of these, data analysts and data scientists have somewhat similar roles. A data analyst’s main role is to structure, analyze and interpret raw data, in order to provide solutions to a company’s questions, or find trends, etc.

Data scientists have a similar role as data analysts. However, they use machine learning models or algorithms, and statistics to do so. And data engineers are the professionals who develop the software used by data scientists and analysts. They build, monitor, test and optimize the platforms or systems for data storage and analysis.

1.2 Is Data Analytics a Good Career?

Yes.

Data analytics career paths are gaining a lot of popularity and respect these days since many large corporations collect big data. So there is a lot of demand for all types of data professionals. Data analysts also considered intellectual, new tech professionals. All these factors, along with a good salary makes data analytics a good career choice.

2. How to Become a Data Analyst

2.1.1 Courses Taken at School

Science stream (PCM) with physics, chemistry, maths, computer, and English.

You need to have a background in maths in 10+2 (high school) with an interest and aptitude for statistics.

2.1.2 Courses Taken at College: Data Analytics Subjects

Here are some of the courses or subjects that are a part of B.Tech. in Computer Science (see Section 2.3.1), which can be a helpful background for a career in Data Analytics:

Data Structures

Digital Logic Design

Design And Analysis Of Algorithms

Database Management Systems

Computer Programming

Object-Oriented Programming using C++/Java/Python

Digital Electronics

Theory of Computation

Discrete Mathematical Structures.

Operating Systems

SQL, Python

2.2 Entrance Exams

Depends on the degree you go for – B.Tech is a good idea (see Section 2.3.1).

For engineering, JEE mains for IITs, Graduate Aptitude Test in Engineering (GATE) for others for undergrad college.

For B.Sc., some universities look for cut-off percentages in the 12th, and others have an internal qualifying exam or admission test.

Entrance exams for a master’s degree are as follows:

CAT, CMAT, and NMAT for MBA in India.

SNAP (for Symbiosis institutes) for MBA in India.

GMAT for MBA in the US and some other countries.

2.3.1 Academic Qualifications/ Degree Required

Graduation required, especially B.Tech. Organizations have recently been emphasizing on B.Tech and/or MBA.

As of yet, there is no undergraduate degree program for Data Analytics (by a recognized university). There are few certificate/ diploma courses by various institutes (like IIM, IIT, ISB) for graduates or working professionals.

So the best idea is to earn a bachelor’s degree (B.Tech or B.E.) in Computer Science, Information Technology or Statistics. And study applied statistics or data analysis as subjects within those, or do a certificate program.

I did B.Sc and MBA.

2.3.2 Post-Graduate Degree Requirements/ Options

MBA, Ph.D. in a science-related field.

Most large organizations that hire data professionals prefer candidates with MBA degrees. After that, a Ph.D. in a science or statistics field could be an option for further studies, although it is not required. A Ph.D. would be a great idea if you want to become a data scientist.

Some universities abroad also offer degrees like Master of Science in Analytics or Master of Science in Data Science. But it is better to get experience in data analytics before going for (or considering) these masters degrees since job experience will help you gain an understanding of the field and interdisciplinary knowledge. Sometimes, it may even be a better idea to avoid masters in analytics and go for an MBA instead, as a lot of companies prefer that. So getting work experience in the field will help you understand the employers’ demands and preferences.

2.4 License Required

No.

2.5 Internship/ Work Experience Required

Yes.

Internship depends on what degree or course you go for. A 6-month internship is a part of the B.Sc programs. For B.Tech or B.E., internships are required. Students typically join an internship in summer holidays, usually for 3 months between the 3rd and 4th years of college.

It is highly desirable to find an internship in data analytics or data science, depending on your interest or chosen career path.

For Ph.D., to enter the program, you must work in a laboratory during college/university, including summers, as well as write a senior research thesis.

2.6 Cost of Tuition and Training

For B.Tech or B.E, approximate fees at NITs is around INR 5 lacs for a 4-year course, which excludes hostel fees. Total spend should be around INR 7-8 lacs, including the hostel.

Students should note that there is a vast difference in tuition in private and government engineering colleges. Good private engineering colleges have fees of about 3 lacs per year for a 4-year course, which makes a total of about 12 lacs, excluding the hostel.

For MBA, top colleges charge anywhere between 5-8 lacs for a 2-year course, excluding hostel. Total spend will be around 10-12 lacs.

2.7 Competition & Big Data Scope in India

Highly competitive for college entrance. Less competitive for jobs.

Getting into a good college and university will account for the most of the competition you will face. The competition will depend on the ranking of college, and the better the college, the higher your chances of getting a job and better salary.

Getting into IITs and government colleges is quite tough, as you’ll be competing with the top students of the country. Try to get into a good school and a top B-school as they have the best companies visit during campus placements.

To get into the top colleges, start your preparations early for entrance exams. For B.Tech, you should start as early as in 10th grade and for MBA/MS, as early as 3rd year of a 4-year graduation or 2nd year of a 3-year graduation.

For jobs, the competition level is moderate, although it may increase in the coming years, due to the increasing popularity of this career option among young graduates. If you graduate from one of the top colleges, it should be fairly easy to land a good entry-level job either through college placement or online applications. Demand for data professionals is increasing year after year, so it seems like a secure career choice in the coming technological era.

2.8 General Age to Start Professional Career for Data Analysts

23-24 years.

Since analytics is a relatively new field, earlier the companies used to hire candidates with MBA and experience (25-30 years) for data analysis. But now freshers are also being hired.

2.9 Governing Bodies

None.

3. Professional Opportunities/ Career Growth for Data Analysts

3.1 Specializations/ Sub-Professions

Data professionals are of different types:

data analysts

data engineers

data scientists

data architects

database managers

database administrators

However, under data analytics, there are no sub-professions. Data analysts may have certain specializations, such as market data analyst, web data analyst, IoT (internet of things) data analyst.

3.2 Companies & Institutions that Employ Data Analysts

Mostly private companies (consulting/BFSI /IT firms).

Banking, financial services and insurance (BFSI) and IT firms are the top employers of data analysts. Examples include Accenture, Barclays, J.P. Morgan, IBM, etc.

Other than that, large corporations and tech companies like Google, Amazon, and Apple also hire data analysts. Consulting firms and data analysis companies like McKinsey, Boston Consulting Group (BCG), TCS, Bloomberg, etc. also employ data analysts.

3.3 Growth Prospects

It certainly depends on the hierarchy system in the organization one is working for.

Data analysts can start as Data Analyst interns. Fresh graduates can get the position of Data Analyst, and then be promoted as Senior Data Analyst after 2-4 years of experience. Other senior positions include Lead Knowledge Analyst, Knowledge Expert, Data Analytics Consultant, Head – Global Data & Analytics and Vice President – Business Data Analyst.

3.4 Entrepreneurship Opportunities

Yes.

In recent years, a number of startups have come up. Gurugram, Bengaluru, and Hyderabad are the main hubs for startups and entrepreneurial ventures for data analysts. Data analysts can start their own consulting firms to provide solutions to clients based on data visualizations & analysis.

Analytics startups can provide SaaS (software as a service). They develop machine-learning software and advanced analytical applications for big data analysis. These tools or software can provide solutions for collecting, storing, cleaning or analyzing data.

3.5 Salary Range

On an average its 4-5 lacs per annum for freshers.

A good college fresh B.Tech graduate can get anything above 6 lacs p.a., especially with a masters degree. After 1-2 years of experience, it is common for data analysts to earn 5-5.5 lacs p.a.

4. Further Resources

4.1 Top Universities in India

Few IIM institutes (like Lucknow and Ahmedabad) are the top colleges when it comes to diploma courses in Big Data/ Analytics. Additionally, IIT Hyderabad offers a diploma course in Big Data/ Analytics for working professionals. Various MBA colleges in India have starting specific big data/analytics programs.

But I would suggest to go for a normal MBA course from a good institute as it would cover things one needs in this field. And yes, good institutes can promise job interviews.

For:

B.Tech – All IITs, All NITs

MBA – All IIMs, SPJIMR, SCMHRD, NMIMS, JBIMS, XLRI

4.2 Top Universities in World

Harvard University (Master of Science in Data Science)

Massachusetts Institute of Technology (MIT Sloan) (Data Analytics Certificate)

Carnegie Mellon University (Master of Science in Information Technology with a specialization in Business Intelligence & Data Analytics)

Penn State University (Master in Data Analytics; Master of Professional Studies in Business Analytics)

Boston University (Master of Science in Computer Information systems)

Missouri University of Science and Technology (online graduate certificate in Business Analytics and Data Science)

Illinois Institute of Technology, Chicago (Master of Data Science)

Johns Hopkins University (MS in Data Science; post master’s certificate in Data Science)

UC Berkeley, California (Master of Information and Data Science)

For top universities in the world for MBA, please refer to Section 4.2 in Business Management.

4.3 Famous Personalities

Kenneth Cukier

Dean Abbott

Hilary Mason

Geoffrey Hinton

Bernard Marr

4.4 Useful Links

The Internet is full of helpful videos for Analytics field aspirants. One can check the website for SAS. Its a US-based organization which developed the initial analytic tool (SAS).

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