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bigdatabootcamp · 2 months ago

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Explore the Best Data Analytics Courses in the USA for Beginners & Pros

In today’s digital economy, data is the new oil—and those who know how to analyze it are in high demand. Whether you're a professional aiming to upskill or a beginner eager to break into the tech world, pursuing a data analytics course in the USA is a smart investment in your future. With industries relying heavily on data to make strategic decisions, the need for skilled data analysts has never been greater.

At Big Data Bootcamp , our mission is to equip learners with real-world, job-ready data analytics skills through hands-on training, expert-led instruction, and career development support. Whether you're based in New York, California, Texas, or learning remotely, we have a course that meets your goals.

Why Learn Data Analytics?

Data analytics is no longer confined to tech companies. Today, businesses in retail, healthcare, finance, logistics, and even sports rely on data insights to make informed decisions. Here’s why you should consider diving into this field:

High Demand: The U.S. Bureau of Labor Statistics projects that roles like data analyst and data scientist will grow by 25% or more over the next decade.

Strong Salaries: Entry-level data analysts in the USA earn $60,000–$80,000, while experienced professionals can make over $120,000.

Career Flexibility: Data analytics opens doors in a wide range of industries and roles, from marketing analytics to business intelligence and financial forecasting.

Remote Opportunities: Many data roles offer remote work flexibility, allowing for a better work-life balance.

What to Look for in a Data Analytics Course

Not all data analytics courses are created equal. If you're serious about building a career in this space, here are a few features to look for:

Hands-On Projects: You should be working on real datasets to build your portfolio.

Industry Tools: Courses should teach Excel, SQL, Python, Tableau, Power BI, and possibly cloud platforms like AWS or GCP.

Mentorship: Access to experienced mentors can make or break your learning experience.

Career Services: A top-notch program offers job placement support, resume reviews, and interview prep.

Big Data Bootcamp: Your Ideal Learning Partner

At Big Data Bootcamp, we’ve crafted our Best Data Analytics Course in USA to meet the growing needs of the modern workforce. Here's why learners across the USA trust us to help them advance their careers:

1. Comprehensive Curriculum

Our course covers everything from the fundamentals to advanced analytics. You'll learn:

Data visualization with Tableau and Power BI

Data querying using SQL

Data wrangling and exploration in Python (Pandas, NumPy)

Business Intelligence reporting

Exploratory Data Analysis (EDA)

Real-world case studies and capstone projects

2. Hands-On Learning with Real-World Projects

Our philosophy is simple: learn by doing. You’ll work with large datasets to solve business problems, interpret trends, and build dashboards. These projects become valuable additions to your professional portfolio.

3. Expert Instructors

Our instructors are experienced data analysts and scientists working in top U.S. companies. They bring real-world insights and practical tips to help you succeed in a competitive job market.

4. Flexible and Accessible

We offer:

Online, self-paced and live cohort-based learning options

Full-time and part-time formats to fit your schedule

Nationwide accessibility—join from anywhere in the USA

5. Career Support & Job Placement Assistance

We’re not just a learning platform—we’re a career accelerator. Our services include:

Resume and LinkedIn profile optimization

Mock interviews and technical assessments

Access to a network of employers and hiring partners

Ongoing job search support post-completion

Who Should Take This Course?

Our data analytics program is perfect for:

Beginners with little to no technical experience

Professionals in fields like finance, marketing, or operations looking to pivot into analytics

Recent graduates wanting to build employable skills fast

Business leaders seeking to understand data-driven decision making

Student Success Stories

Emily R., Former Retail Manager → Data Analyst at eCommerce Firm

"The bootcamp gave me confidence and the right skills to switch careers. I landed a remote job within three months of finishing the course."

Jonathan B., MBA Graduate → BI Analyst at Financial Services Firm

"The hands-on projects and Tableau training were exactly what I needed. The mentorship and job support were incredible."

What You'll Walk Away With

After completing the Big Data Bootcamp Data Analytics Course, you’ll have:

A portfolio of real-world projects

Proficiency in Excel, SQL, Python, Tableau, and Power BI

A strong understanding of data storytelling and business intelligence

Career coaching and access to job opportunities

You won’t just finish with knowledge—you’ll leave with confidence and a career-ready toolkit.

Enroll Today and Future-Proof Your Career

If you're looking to upskill, change careers, or start strong in the tech industry, data analytics is a powerful stepping stone. And with Big Data Bootcamp, you get more than just an education—you get a career partner.

Ready to get started?

Visit Big Data Bootcamp and explore our upcoming data analytics cohorts. Your journey to a successful, data-driven career in the USA begins now.

Short Description:

Explore top-rated data analytics courses in the USA with Big Data Bootcamp. Learn SQL, Python, Tableau, and more through hands-on projects, expert mentorship, and full career support—designed for both beginners and professionals. Start your data journey today!

#data analytics courses

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datascienceblog12 · 6 months ago

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Listing The Best Institute For Data Science in Bangalore

This flourishing city has given shelter to many IT companies and data science classes in Bangalore. Here you get skill development associated with trending and real-world challenges. For this reason, you will see that the data science institutes form tie-ups with the companies as part of their placement partners. Plus, their presence also carves the curriculum towards industry practices and designs their capstone projects. These projects are kept mimicking real-world data science challenges. This coursework can be undertaken by freshers and experienced professionals.

This article offers you a guide to some of the great data science educational organizations in Bangalore.

Jigsaw Academy provides data science courses designed by industry experts, emphasizing hands-on training and case studies. This program contains Data Science with Python and Artificial Intelligence. During this coursework, aspirants are exposed to real-world projects, as a part of their hands-on training. The Jigsaw has partnered with IIM, Indore. It has also got robust placement assistance which makes it a preferred choice for aspiring data scientists.

Great Learning is considered the best institute for data science in Bangalore. It offers a Postgraduate program in Data Science and Business Analytics. Their curriculum is industry-aligned with capstone projects. It gives learners practical exposure. Great Learning has collaborated with globally known institutions like the University of Texas at Austin. Obtaining certification from them opens the door to international opportunities for the aspirants. It offers a hybrid learning model. This means that it combines online learning with in-person training. It is especially advantageous for working individuals.

Simplilearn outshines in the eyes of individuals looking for online learning. It is known for its Data Science Master’s Program and Machine Learning certification. It focuses on hands-on learning via real-world projects. The prestigious partnerships with organizations such as IBM and Purdue University have added significant value to its credibility. Simplilearn also gives access to its course materials for a lifetime.

For those aspiring for internationally recognized credentials, you can consider the data science curriculum from UpGrad. It offers exceptional online courses in alliance with Liverpool John Moores University and IIIT, Bangalore. Their executive and master’s program in Data Science serves aspirants of different skill levels. The curriculum includes features like 1-on-1 guidance, live sessions, and peer-to-peer interactions. It ensures a holistic learning experience.

Imarticus Learning is a great choice for those looking for job-oriented training. This is ensured by offering practical training in the form of real-world case studies and projects. It has a robust placement record, often partnering with companies for hiring drives.

ExcelR, another famous institute in Bangalore furnishes comprehensive data science training. It mainly focuses on Python and R programming. Their program includes extensive hands-on training with live projects and they also provide round-the-clock assistance for the aspirants. The reason for the credibility of this program is its partnership with IBM.

Learnbay has a range of data science courses, that suit diverse groups of learners. It is also the best institute for data science in Bangalore. The thorough nature of the coursework, capstone projects, ECTS credit system, experienced instructor, and tie-up with IBM & Microsoft are among the plus points of this program. The ECTS credit system makes the certification valid overseas. It provides a 100% placement program, with 1:1 doubt-clearing sessions, mock interviews, etc. The domain specialization choice within the curriculum makes it stand out in the competitive market.

DataMites is recognized for offering high-quality courses like Certifed Data Scientist. This course is globally acclaimed. It is accredited by the International Association of Business Analytics Certification (IBABC). The hands-on training is given via cloud labs.

NASSCOM Future Prime Skills is an upskilling program backed by the Indian government. Here, you get the best guidance for upskilling yourself with the This program offers a full package foundation creation and industrial knowledge development.

At last, Besant Technologies is a known name in the category of IT training. It furnishes flexible data science programs that serve both fresh graduates and experienced professionals. With real-time projects and dedicated job support programs, it achieves a successful number of aspirants. The support includes mock interviews, personal guidance, etc. It ensures that aspirants are job-ready upon course completion.

Factors To Consider While Choosing Data Science Coursework

The definition of the ideal data science program would be as follows

Industry-Relevant

Experienced Trainers

Vigorous Hands-on Training

Thorough Coursework

Robust Placement Support

Access To Study Resources

Conclusion

In the end, the right selection of the curriculum relies on your personal career goals, learning choices, and budget. Along with the comprehensiveness of the data science classes in Bangalore, you also need to evaluate these three critical factors. With the demand for skilled professionals on the rise, joining the reputed program in Bangalore can be a transformative step for your career.

#data science classes in Bangalore

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ifocusblogs · 11 months ago

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data analytics course in Bangalore

In the digital age, data is the new oil. Organizations across the globe are harnessing the power of data analytics to make informed decisions, predict trends, and drive growth. Bangalore, often dubbed the Silicon Valley of India, is at the forefront of this data revolution. The city boasts a plethora of institutes offering top-notch data analytics courses, catering to both beginners and seasoned professionals. Here’s a comprehensive guide to the best data analytics courses in Bangalore.

1. Indian Institute of Management Bangalore (IIMB)

Course: Data Analytics for Business Decision Making

Overview: IIM Bangalore offers a specialized course designed for professionals aiming to enhance their data analytics skills. The course covers a wide range of topics, including predictive analytics, data visualization, and big data.

Key Features:

Hands-on projects and real-world case studies.

Access to a vast network of industry experts and alumni.

Certification from one of India’s premier management institutes.

2. Great Learning

Course: PG Program in Data Science and Business Analytics

Overview: Great Learning’s program is designed in collaboration with McCombs School of Business at The University of Texas at Austin. It covers critical aspects of data science and business analytics, making it one of the most comprehensive courses available.

Key Features:

12-month program with weekend classes.

Mentorship from industry veterans.

Capstone projects to showcase practical knowledge.

3. Simplilearn

Course: Data Scientist Master’s Program

Overview: Simplilearn offers a master’s program that combines live instructor-led classes and self-paced learning. The course is designed to equip you with a blend of theoretical knowledge and practical skills.

Key Features:

Collaboration with IBM for an industry-recognized certification.

Comprehensive coverage of data analytics tools like Python, R, and SAS.

Lifetime access to course materials and 24/7 learning support.

4. Jigsaw Academy

Course: Full Stack Data Science Program

Overview: Jigsaw Academy offers a holistic data science program that covers everything from data manipulation to machine learning and deep learning. The course is suitable for both freshers and working professionals.

Key Features:

Blended learning approach with online and offline sessions.

Real-world projects and internships.

Collaboration with Manipal Academy of Higher Education for certification.

5. UpGrad

Course: Data Science Certification Program

Overview: UpGrad’s data science program is in collaboration with IIIT Bangalore and Liverpool John Moores University. It covers a broad spectrum of data science topics and offers a well-rounded education in analytics.

Key Features:

Industry-relevant curriculum designed by top academicians and professionals.

Personal mentorship and career guidance.

Opportunity to work on real-world data sets and projects.

6. ExcelR

Course: Data Science Certification Training

Overview: ExcelR offers a data science certification course that focuses on practical learning. The course covers a wide range of data science tools and techniques, ensuring you are well-equipped to tackle real-world challenges.

Key Features:

Instructor-led online and classroom training.

Access to over 60 hours of learning material.

Hands-on experience with tools like R, Python, and Tableau.

Why Choose Bangalore for Data Analytics?

Bangalore is not just a city; it’s an ecosystem for tech enthusiasts and professionals. Here’s why it stands out as a hub for data analytics education:

Industry Presence: Home to numerous tech giants, startups, and research institutes, Bangalore offers ample opportunities for networking and career growth.

Expert Faculty: The city attracts some of the best minds in the industry, ensuring you learn from experienced professionals and academicians.

Vibrant Community: With regular meetups, hackathons, and conferences, Bangalore has a thriving data science community that fosters learning and collaboration.

Infrastructure: State-of-the-art facilities, access to cutting-edge technology, and a conducive learning environment make Bangalore an ideal destination for pursuing data analytics.

1. Indian Institute of Management Bangalore (IIMB)

Course: Data Analytics for Business Decision Making

Key Features:

Hands-on projects and real-world case studies.

Access to a vast network of industry experts and alumni.

Certification from one of India’s premier management institutes.

2. Great Learning

Course: PG Program in Data Science and Business Analytics

Key Features:

12-month program with weekend classes.

Mentorship from industry veterans.

Capstone projects to showcase practical knowledge.

3. Simplilearn

Course: Data Scientist Master’s Program

Key Features:

Collaboration with IBM for an industry-recognized certification.

Comprehensive coverage of data analytics tools like Python, R, and SAS.

Lifetime access to course materials and 24/7 learning support.

4. Jigsaw Academy

Course: Full Stack Data Science Program

Key Features:

Blended learning approach with online and offline sessions.

Real-world projects and internships.

Collaboration with Manipal Academy of Higher Education for certification.

5. UpGrad

Course: Data Science Certification Program

Key Features:

Industry-relevant curriculum designed by top academicians and professionals.

Personal mentorship and career guidance.

Opportunity to work on real-world data sets and projects.

6. ExcelR

Course: Data Science Certification Training

Key Features:

Instructor-led online and classroom training.

Access to over 60 hours of learning material.

Hands-on experience with tools like R, Python, and Tableau.

Why Choose Bangalore for Data Analytics?

Bangalore is not just a city; it’s an ecosystem for tech enthusiasts and professionals. Here’s why it stands out as a hub for data analytics education:

Industry Presence: Home to numerous tech giants, startups, and research institutes, Bangalore offers ample opportunities for networking and career growth.

Expert Faculty: The city attracts some of the best minds in the industry, ensuring you learn from experienced professionals and academicians.

Vibrant Community: With regular meetups, hackathons, and conferences, Bangalore has a thriving data science community that fosters learning and collaboration.

Infrastructure: State-of-the-art facilities, access to cutting-edge technology, and a conducive learning environment make Bangalore an ideal destination for pursuing data analytics.

Looking for a top-rated data analytics course in Bangalore? Our program is crafted for both beginners and professionals aiming to deepen their data skills. We provide extensive hands-on training, covering key areas like data mining, predictive analytics, and big data technologies. Enroll now and transform your career with our cutting-edge curriculum and expert guidance.

Conclusion

Whether you are a fresh graduate looking to start a career in data analytics or a professional aiming to upskill, Bangalore has a course tailored for you. The city’s rich tech ecosystem, coupled with world-class educational institutes, makes it the perfect place to master data analytics. So, take the plunge, choose the right course, and embark on a rewarding journey in the world of data analytics.

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analyticsindiam · 6 years ago

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How Mentoring In Business Analytics Can Help Build a Successful Career

“How can professionals find a solid footing in the ever-evolving analytics landscape?” This is one of the most frequently asked questions by aspiring data analysts. An increasingly common trend is to get a degree or certification, brush up on your Python, R and SAS skills, fill a tidy portfolio with predictive modelling projects, and sit back for the offers to roll in. A lot of professionals share they are able to find good jobs with leading MNCs after a certification course or a degree. However, just self-directed learning path cannot help in building a growth mindset or expose one to new ideas. One of the key ingredients professionals miss out during their learning journey is timely and actionable feedback from industry experts. This helps aspirants draw from the experiences of senior professionals and learn from it. A mentor-mentee relationship is very important, as the mentors can give practical knowledge and insights to the theory which the student is learning in the classroom. In fact, numerous successful data scientists claim that it was due to the resilience and motivation of their mentors, that they were able to achieve great success. Mentorship is not just about teaching and evangelizing or sharing new concepts, it is one of the best ways to ensure you are on the right learning path and one level up in your career as compared to your peers. In fact, Alibaba co-founder Jack Ma and Facebook’s Sheryl Sandberg attributed their mentors for shaping their careers. As the training system evolves and learning systems migrate online, learners need to acquire skills like development tools, IDEs, programming languages, business visualisation skills and analytics tools that will help them succeed in their careers. Mentors and industry experts, armed with more than a decade of experience can help learners cut through the noise and map out a career trajectory that only goes upwards. Professional Learning through mentorship at Great Learning At Great Learning, industry mentorship is a major component of all programs. Personalised mentorship is one of the key pillars of Great Learning’s programs and their deep relationships with leading tech companies has fostered an analytics community of excellence. Across the breadth of programs, industry mentors work with student groups and give the participants valuable insights. Great Learning’s PGP Data Science and Business Analytics (DSBA) which builds on the success of PGP-BABI is offered in conjunction with the University of Texas at Austin. Mentor-assisted learning is one of the major differentiators of PGP-DSBA which has transitioned 2,500+ candidates over the last 5 years. This program has 100+ industry mentors who have helped candidates from diverse backgrounds -- IT, BFSI, Healthcare, Manufacturing, Telecom among others develop strategies for a successful data science career. The program has both leading academicians and industry experts so that learners get the right mix of theory and practical knowledge that will help them along in their career paths. “The moduled structure of content has a proper flavor of which should come first. Mentor Sessions are a key (or I would say a backbone) because in a virtual world it's really hard to get that Human Interaction feel. Prompt responses to queries from Program Office boosted the overall output from modules.”Aishwarya Saraf (Great Learning alumna) Manager Specialised Services, Analytics, at Hitachi Consulting The rebranded program also has industry mentors who will interact with you online one-on-one and will answer all your questions and make a positive impact on your journey/development as a data scientist. The program is delivered in two formats -- online and classroom mode. So whether you want to upskill or align with a Data Science career trajectory, PGP - DSBA has got you covered with the most comprehensive, mentor-led program. Differentiate Yourself With A Mentor-Assisted Program DSBA’s mentors work like a personal coach, who support the learners throughout their learning journey, give actionable career advice and ensure students are on track with their assignments and case studies. With 30 online personalized mentorship sessions (for the online program) and 30 mentor-led sessions on the weekend (for classroom program), candidates can broaden their performance and personal growth. The students also have access to an online learning management system for online content.

The program content developed by faculty members from the University of Texas at Austin, Great Lakes and industry experts covers the latest analytics techniques and provides an accelerated, personalized learning environment to candidates. The curriculum is divided into 5 modules - covering the foundations, analytics techniques, visualization tools along with domain exposure across Retail and Marketing Analytics, Finance and Risk Analytics and Web and Social Media Analytics.Every module features hands-on projects which gives candidates the opportunity to apply classroom learning to real business problems. Candidates can also build real-world skills with the application-oriented Capstone project and company-sponsored hackathons. The program is led by a stellar faculty including Dr PK Viswanathan (PhD Madras University), Dr Abhinanda Sarkar (PhD Stanford), Dr S Bharadwaj (PhD University of Maryland), Dr B Mukhopadyay (PhD Indian Statistical Institute) among other leading academicians who are consistently ranked among the Top 10 data science academicians in India. How Mentorship From Great Learning Can Grow Careers The career support activities at Great Learning are clubbed under the GL Excelerate program, which helps the students highlight their skills and connect with the right people to avail the perfect opportunities. The program provides every learner exclusive access to regular recruitment drives, curated jobs each month, interview preparation workshops and career mentorship from mentors personalised to their experience and industry. Hari Nair, co-founder at Great Learning says, “At Great Learning, we believe that for learning to be effective and meaningful, it is important that the learner should have access to personalised attention, assistance and access to real-world problems from faculty and subject matter experts. None of these should be compromised because the delivery format is online. We have challenged the notion that online learning experience should be passive in nature. This is the reason why our online programs are built on live and personalised mentorship by faculty and industry experts. And as they say, the result is in numbers - Great Learning online programs have the highest completion rates and satisfaction numbers among online programs.” Outlook As learning becomes more experiential and interactive, mentor-assisted learning programs will emerge as the most in-demand, learning delivery formats for professionals who are looking to develop job-ready skills. Tech-savvy professionals who want to align their career look for support, encouragement and guidance which programs like PGP - DSBA can fulfil. Great Learning’s PGP DSBA alumni have received a 48% hike after completion, have built a formidable peer network and have achieved their career goals successfully with this program. Hard Facts Mode: 12-month classroom mode | 11-month online mode Certification: Dual certificate from the McCombs School of Business at the University of Texas at Austin, and Great Lakes Executive Learning Mentorship Sessions: 30 classroom or 30 online, depending on the program variant Tools: Python, Tableau, R, SAS, SQL Fee: ₹4.25 lakh (classroom mode) | ₹2.25 lakh (online mode) Financial aid: Loans at 0% interest rate available from Axis Bank, Zest Money, Eduvanz, HDFC Credila Batches starting every month with classroom variants available in Mumbai, Bangalore, Delhi NCR, Chennai, Hyderabad and Pune. For more details click here. Read the full article

#Greatlearning

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the-piya-blog · 5 years ago

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Data Science Skilled Certificate

Learn Data Science - a mix of abilities, applied sciences, applications and processes used to drive Enterprise planning. These Official DASCA Certification Preparation kits, provided complimentary to registrants of all DASCA programs, don't solely help them research and prepare for his or her certification exams, but in addition serve as lifelong friends throughout the course of their careers. The world's first and the most authoritative learning assets ever ready for Data Science on impartial knowledge-frameworks, these kits include texts and reference books, laboratory follow manuals, and digital studying resources filling up an extended-felt void on reliable, researched, and insightful information within the discipline. Led by teachers and professionals within the information science community, our program incorporates hands-on coursework in addition to group work focused on actual-world knowledge science projects. By the point you complete the program, you'll have the well-rounded expertise that allows you to inform highly effective stories with data and create an impact on organizational decisions. The program is very well designed and in step with what the industry wants. I had no data of information science earlier than and wasn't positive if I might be disciplined sufficient to take up a web based course. The classroom learning allowed me to clear my doubts proper then and there which helped rather a lot. And the inputs that I gained from the mock interview periods helped me crack the location strategy of a number of firms. Information scientists come from a variety of educational backgrounds, however the majority of them could have technical schooling of some sort. Knowledge science degrees embrace a wide range of pc-associated majors, nevertheless it could also embody areas of math and statistics. Coaching in enterprise or human conduct can be widespread, which bolsters extra correct conclusions in their work. The University of Texas at Dallas has a Graduate Certificate in Distant Sensing designed for people who wish to gain abilities in picture analysis and perceive the theories behind picture acquisition. The skills are helpful for individuals in fields corresponding to meteorology, geography, ecology, and pure assets management. It is a 15-credit score program requiring college students to complete five courses. Candidates will need to have a bachelor's diploma. A related undergraduate major is helpful for college kids who enter this program, however it is not a requirement for admission. Candidates must apply as non-degree-searching for college students. Students can complete this system in as little as a yr, but they have up to three years. ExcelR is one of the best data scientist Training Institute in Pune with Placement assistance service. A devoted online questionnaire was created and the hyperlink was sent to greater than 30 data science faculties, of which 21 responded within the stipulated contributors have been requested to fill an elaborated type with four key parameters — course content material, school, pupil experience and different attributes corresponding to exterior collaboration. A number of the other particulars underneath these parameters have been course comprehensiveness, publish-completion engagement of students, capstone initiatives and others. Description: Be taught about the different moments of business decision as part of Statistical Evaluation Be taught extra about Visual information illustration and graphical methods. Study Python, R programming with respect to Knowledge Science and Machine Learning Perceive the way to work with completely different Python IDE and Python programming examples. Read More Here.

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currentrepairs-blog · 7 years ago

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Why Practical Skills Will Matter More Than Your Degree In The New Economy

When Giancarlo Martinez applied a few years ago to be a web developer at Genome, a digital marketing firm in New York, he was confident that he had the ability. But he couldn’t help but wonder whether company recruiters would be able to recognize his chops—and even if they did, he worried that they still might not give him a chance.

The reason: Although he had gone to coding school, Martinez was largely self-taught—”Staying up until 6 a.m., Googling things, and just figuring it out.” Others angling to work at Genome, he presumed, “probably had master’s degrees in computer science.”

“I was very intimidated,” recalls Martinez, now 26.

But Genome was welcoming. “At the end of the day, it’s not the piece of paper on your wall,” says Stephanie Plumeri Ertz, who interviewed Martinez for the position. “It’s what you can turn out.”

To seal the deal, she gave Martinez a test, asking him to follow a set of technical specifications while designing a webpage featuring cupcakes. Martinez showed a solid command of the basics. He also added a few impressive flourishes, including an animation of a conveyer belt that churned out cupcakes heaped with frosting, which tumbled off the end of the assembly line and dropped into the mouth of a cute, if voracious, blue robot.

“The coding challenge became my golden ticket,” says Martinez, who was immediately brought on for $70,000 a year—a huge bump from the $40,000 or so he’d been scratching together through a string of less stable tech jobs and freelance gigs.

Among the big questions now confronting the U.S. labor market is this: How common will stories like Martinez’s become?

Given the passion with which some business and educational leaders talk about it, you might well imagine that we’re on the cusp of a major revolution.

Skills, Not Degrees

“Getting a job at today’s IBM does not always require a college degree,” the company’s CEO, Ginni Rometty, has asserted. “What matters most is relevant skills.” Jeff Weiner, the CEO of LinkedIn, has been pushing the same message at his company. And David Blake, cofounder of the learning platform Degreed, has put it like this: “It shouldn’t matter how you picked up your skills, just that you did.”

But others are decidedly cautious, noting that longstanding cultural norms and institutional inertia stand as powerful roadblocks to this new way of thinking. Some experts are particularly skeptical that a skills-oriented approach to learning and hiring can transcend the tech industry.

“We’re in the early innings of this transition,” says Mike Adams, cofounder and chief product officer of MissionU, which offers an educational alternative to a traditional degree by focusing on skill building and job placement. Indeed, he anticipates that it will take “decades to shift” to an environment in which capability trumps academic pedigree on a wide scale.

The situation is evolving—but “not fast enough,” adds Karan Chopra, executive vice president of Opportunity@Work, a social enterprise whose signature program, TechHire, has enabled thousands of Americans from underserved communities to access training and jobs. (Among them is Martinez, a native of the South Bronx, who was supported by the NYC Tech Talent Pipeline, a part of the TechHire network, to help pay for a six-month stint at Flatiron School so that he could polish his coding skills before auditioning at Genome.)

“It’s important to realize that this is a problem of collective action,” Chopra says. “Individual employers changing their hiring practices one at a time won’t work—or won’t work quickly enough. A critical mass of employers needs to shift behavior, signaling to the rest and influencing a change in the way the market operates today.”

To be clear, no one who is advocating for a skills-centered system is suggesting that learning isn’t essential. In fact, the idea is that ever more of us must engage in lifelong learning as automation and other technological advances render our skills obsolete. Having only a high school diploma is not sufficient to land and hold a job anymore.

The goal, then, is to make all kinds of courses readily available in physical classrooms and virtual settings alike, allowing folks to acquire know-how that’s useful in the real world and then demonstrate their prowess to employers.

Under this scenario, it is envisioned, many will still obtain four-year degrees. Many others will earn two-year degrees or technical certificates. Meanwhile, the continued emergence of even more affordable options—such as online badging regimes, which can signal when someone has completed an area of study and mastered a discrete skill—will enhance the job prospects of those currently being left behind.

A False Choice

“Making it skills versus credentials is a bit of a false choice,” says Beth Cobert, CEO of Skillful, an initiative of the Markle Foundation that, in partnership with Microsoft, is aiming to give educators a sharper picture of which skills are in demand in their region while helping businesses adopt skills-based hiring and training practices. “This is about changing mind-sets.”

The difficulty in doing so is that the vast majority of businesses and individuals are largely locked in their old ways.

Despite employers’ constant gripes that they can’t find enough qualified workers in a host of industries, many are screening out those who lack a bachelor’s degree—even though they could tackle the tasks at hand without one. “An increasing number of job seekers face being shut out of middle-skill, middle-class occupations” because of this phenomenon, Burning Glass Technologies, a provider of labor market analytics, warned this month. “This credential inflation . . . is affecting a wide range of jobs from executive assistants to construction supervisors.”

For many families—and the battery of institutions of higher education eager to win them over—there’s also little interest in reconceiving how to best prepare their kids for what lies ahead. “People still build their identity around being a four-year college graduate,” says MissionU’s Adams. “That has a pretty strong stranglehold on society,” even amid deep concern about swelling student loan debt.

Martinez felt that tug himself. His stepdad didn’t approve of him skipping college. And his mom, who is from the Dominican Republic, also had misgivings at first. “As an immigrant mother, she always expected me to have a degree,” he says.

Another issue is how hard it can be to exhibit one’s skills outside of tech. If a company is looking for a Python developer with a certain level of experience and competence, “it doesn’t matter whether you come from high school or come from a PhD” program, says Spencer Thompson, the founder of Sokanu, a career-matching platform. “If you can prove those things, that’s great.” But suppose someone wants to be a heating, ventilation, and air conditioning technician?

“How do you measure whether a person is a good HVAC installer?” Thompson asks. “What are the . . . atomic units of being an installer, and how do you actually measure whether somebody is good or bad at those things? That’s where the whole model just completely breaks down.”

The Skills Embedded In The Study Of Literature

Even tougher to see, perhaps, is how the liberal arts can fit in. But Cobert proposes that—beyond having considerable value in their own right—such subjects might be radically reconsidered to capture what employers find most meaningful. “When you take Victorian literature,” she says, “we do not break it down to show that you learned writing skills, you learned critical thinking, you learned how to respond to feedback.”

Others also are hopeful that new avenues for highlighting skills are starting to open up, not necessarily as a replacement for formal education but as a companion to it.

“I don’t think it’s about tech at all,” says Connie Yowell, the CEO of Collective Shift, a nonprofit whose platform, LRNG, teaches tangible skills to young people, gives digitals badges (sometimes called “microcredentials”) to track their achievements, and uses these markers to unlock academic credit, internships, and jobs. “This is the future of learning.”

Adams, of MissionU, is somewhere in between. He believes that tech is a sweet spot. That’s why the first two cohorts completing his program—about 50 people in all—are concentrating on learning data analytics and amassing a portfolio of work to share with potential employers.

Yet MissionU, unlike many tech boot camps, also teaches general business skills, in part through a self-paced project in which students research a topic and present the findings in Excel. This can offer concrete “evidence that you can solve problems” inside a company, Adams says—and, sure enough, employers have begun to regard this assignment as a good indicator of fundamental business proficiency. Because of it, Adams foresees some MissionU graduates finding their way into human resources and other functions, not just being data geeks.

As for Martinez, he has done well for himself. After leaving Genome, he went to work at Yashi, a video advertising company. Once again, he found a boss who admired his skills and didn’t care about his schooling. “It’s not about the path you’ve taken, but what you bring to the table,” says Dipak Shetty, who hired Martinez.

Recently, Martinez moved from New York to Austin, Texas, where he’s mulling what to do next. He may take another job in software. Or he may attempt to shift into a broader management role. For that, though, he acknowledges that he will be forced to finally get a university education, maybe even an MBA.

“If I were to pursue a business job,” he says, “I definitely need a degree to compete.”

After all, skills are everything. But for all too many employers, credentials remain the only thing.

#digital marketing #SEO #social media #education #training #course #career #jobs

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analyticsindiam · 6 years ago

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Top 10 Courses And Training Programs On Artificial Intelligence In India: Ranking 2019

Analytics India Magazine brings the ranking on AI courses and training programs for the second year in a row. Our annual ranking is a result of extensive research and analysis of various parameters submitted by the institutes. We invited inputs from more than 20 leading institutes offering courses on artificial intelligence. They have been ranked on the basis of four parameters — course content, faculty, student experience and other determining factors such as entry criteria of students and external collaboration. Last year we ranked basis on only 2 parameters which we increased to 4 this year. Each criteria has been ranked on the scale of 0 to 5. See last year’s ranking - 2018 | 2017

1| PG Program in AI and Machine Learning By Great Learning

Year Of Inception: 2013 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad, Pune, Online variant across all cities Duration Of The Program: 12 months Total Number Of Learning Hours: 400+ Learning Hours in Blended Mode and 240+ hours in Online Mentorship Mode Course Fees: ₹ 2,15,000 for online, ₹ 3,25,000 for classroom Offering courses in areas such as analytics, data science, machine learning, AI and others, it is taken by thousands of professionals every year. Great Learning has impacted more than 13000 professionals delivering 8+ million hours of learning in analytics, data science, AI and machine learning. They have an alumni network of 10000+ professionals working across marquee organisations in India and beyond. Parameter 1: Course Content (4.8) Comprehensiveness: The program builds a solid foundation of AI and ML techniques while focusing on areas such as computer vision, NLP, recommendation systems, anomaly detection and more. It also covers a range of topics from statistical techniques to traditional supervised and unsupervised learning methods such as reinforcement learning, GANs etc. The program covers 12+ hands-on projects and a capstone project. It also provides guidance from industry experts, hackathons and interactive lab sessions. Capstone Projects/Internships: More than 3 months Frequency Of Course Updation: Frequently: Every new batch Assessing Students At The End Of The Course: Students need to complete lab assessments with 60%+ marks, capstone project with 60%+ marks and no more than 2 courses should be incomplete at the end of the program. They are also accessed through quizzes and the ability to apply what they have learned through labs and projects. Learning Resources: Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects Parameter 2: Faculty (4.6) Total Number Of Faculty Members: 200 Student To Faculty Ratio: 10:1 for the online version, 45:1 for classroom Parameter 3: Student Experience (4.8) Percentage Of Students Who Complete The Course: 93% Post-completion Engagement: Learners are regularly updated on the relevant jobs posting by their hiring partners. Participants can also attend career fairs organised by Great Learning. They also offer mentorship roles. Placement Assistance: Assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews, Access to GL Excelerate Career Fairs, internal job boards, shareable e-portfolio and more. Parameter 4: Other Determining Factors (4.8) Entry Criteria Of Students: Bachelor's degree with a minimum of 50% aggregate marks or equivalent. Proficiency in at least one programming language and familiarity with college-level mathematics and statistics External Collaboration: Great Lakes collaborates with UT Austin-McCombs IIT-Bombay, as well as other practising data scientists and AI experts. Upon completion, all successful participants get a dual certificate from Great Lakes and The University of Texas at Austin. The overall rating is 4.75.

2| PG Diploma in Machine Learning and AI from IIIT-B and upGrad

Year Of Inception: Mumbai 2015 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad, Kolkata, Pune, Jaipur, Pan India Name Of The AI Program: Duration Of The Program: 11 months Total Number Of Learning Hours: 400 hours Course Fees: ₹ 2,85,000 Founded by media stalwart Ronnie Screwvala, upGrad provides rigorous industry-relevant programs designed and delivered in collaboration with renowned faculty and industry. It has partnered with 50+ companies like Star TV, Disney, Uber, Google, Microsoft, BookMyShow, etc. and provides the latest technology, pedagogy and services to learners. Parameter 1: Course Content (4.8) Comprehensiveness: Lectures are delivered completely online, 90% through asynchronous videos by industry experts and leading faculty to ensure flexibility for Learners. About 10% of learner time is spent attending live lectures by faculty & industry experts and clarifying academic doubts. In addition, Hackathons are organised where students get a chance to work on challenging industry problems and real data sets. Capstone Projects/Internships: None Frequency Of Course Updation: Regularly- Every Year Assessing Students At The End Of The Course: The course includes graded questions in every module in the form of MCQs, coding questions and open text questions. At the end of every course, students attempt a proctored online exam. Each course ends with an industry-sourced capstone project, the performance of which contributes to the overall GPA. Also, at the end of every 2 months, learners attempt an interview-skill-assessment test. While these are not linked to the GPA, it gives learners timely status on where they stand w.r.t industry requirements. Learning Resources: Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects, Access to IIIT-B Library Parameter 2: Faculty (4.6) Total Number Of Faculty Members: 85 Parameter 3: Student Experience (4.7) Percentage Of Students Who Complete The Course: 95% Post-completion Engagement: It provides 360-degree career support and career assistance is provided by both IIIT and UpGrad. They also provide 1-1 student mentorship and peer to peer interaction with offline basecamps. Placement Assistance: Assistance through an alumni network, Career counselling and mock interviews Parameter 4: Other Determining Factors (4.8) Entry Criteria Of Students: Bachelor's Degree with a minimum one year of work experience or a degree in Mathematics or Statistics External Collaboration: IIIT - Bangalore The overall rating is 4.72.

3| Advanced Certification in Artificial Intelligence and Machine Learning By International Institute of Information Technology, Hyderabad and TalentSprint

Year Of Inception: IIIT-Hyderabad, 1998; TalentSprint 2009 Cities Of Operation: Bengaluru, Hyderabad Duration Of The Program: Classroom format: 13 weeks; Hybrid format (classroom+online): 18 weeks; Online classes: 15 weeks Total Number Of Learning Hours: 120 hours Course Fees: ₹ 2,00,000 + taxes (special scholarships for women and young professionals) Kohli Center on Intelligent Systems (KCIS) at IIIT-H was established in 2015 which is a highly rated machine learning lab in India. TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world-class academic institutions like IIIT Hyderabad, IIM Kolkata, IIT Hyderabad and global corporations like Google and Pegasystems to develop and offer disruptive programs. Parameter 1: Course Content (4.8) Comprehensiveness: The Program curriculum is designed to solve real-world problems. From refreshing your coding knowledge to translating real-world problems in terms of AI/ML abstractions and creating practical applications, the comprehensive nature of the program covers all the important aspects. Capstone Projects/Internships: Less than 3 months Frequency Of Course Updation: Frequently- Every new batch Assessing Students At The End Of The Course: The program is designed to have continuous formative and summative assessments. The final scores are determined based on the sum of scores of various assessments. Learning Resources: Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects, Hackathons, Mentor Support, One-on-one mentoring sessions Parameter 2: Faculty (4.6) Total Number Of Faculty Members: 9 Student To Faculty Ratio: 20:1 Parameter 3: Student Experience (4.6) Percentage Of Students Who Complete The Course: 93% Post-completion Engagement: Access to learning the material through LMS which is provided for a year since the beginning of the program. The participants receive executive alumni status from IIIT Hyderabad giving them access to exclusive events like guest lectures and industry talks. Placement Assistance: Assistance through an alumni network, sharing potential hiring opportunities with the alumni network. Parameter 4: Other Determining Factors (4.6) Entry Criteria Of Students: Coding experience required External Collaboration: None The overall rating is 4.65.

4| Full Stack Machine Learning and AI Program By Jigsaw Academy

Year Of Inception: 2011 Cities Of Operation: Bengaluru, Delhi/NCR, Hyderabad, Online Name Of The AI Program: Duration Of The Program: 6 months Total Number Of Learning Hours: 12+ hours Course Fees: ₹ 48,400 + taxes Jigsaw Academy provides training in data and analytics, and believe that it can change the way not just industries but individuals work. It is their constant endeavour to improve how these skills are taught and this is what distinguishes Jigsaw from other training providers. Parameter 1: Course Content (4.7) Comprehensiveness: The program focuses on building a solid foundation. It gives additional access to IBM’s ML platforms and Watson via the data science experience and content. It gives exposure to Python, Keras, TensorFlow and more. Capstone Projects/Internships: More than 3 months Frequency Of Course Updation: Frequently- Every new batch Assessing Students At The End Of The Course: There is multiple assessments throughout the course, as well as the capstone and final viva voce. Learning Resources: Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects Parameter 2: Faculty (4.6) Total Number Of Faculty Members: 10 Student To Faculty Ratio: 4:1 Parameter 3: Student Experience (4.0) Percentage Of Students Who Complete The Course: 98% Post-completion Engagement: Invitation to guest lectures, webinars. Assistance through an alumni network, event updates. Placement Assistance: Assistance through an alumni network, Career counselling and mock interviews Parameter 4: Other Determining Factors (4.2) Entry Criteria Of Students: No criteria External Collaboration: The course content and use cases have been designed with extensive input from industry subject matter experts from several domains, and additional input via Jigsaw’s corporate and academic collaborations. The overall rating is 4.37.

5| Applied AI and Machine Learning Specialization, AI & Deep Learning with Python By Analytixlabs

Year Of Inception: 2011 Cities Of Operation: Bengaluru, Delhi/NCR, Global through instructor-led online and e-learning mode Name Of The AI Program: Duration Of The Program: Six months Total Number Of Learning Hours: 280 Course Fees: ₹ 25,000 + taxes for 4 months duration,₹ 48,000 + taxes for 6 months duration A pioneer in edutech industry, it has been providing high-quality training since 2011 in fields of applied AI and machine learning. They have a team led by the team of McKinsey, IIM, ISB, FMS and IIT alumni with rich industry experience. Parameter 1: Course Content (4.2) Comprehensiveness: Course modules and case studies are aligned and tailor-made to develop skills sets for corporate projects. The training and pedagogy are validated by seasoned professionals for their suitability and value addition. Capstone Projects/Internships: More than 3 months Frequency Of Course Updation: Frequently- Every new batch Assessing Students At The End Of The Course: Their assessment strategies include analysing the case studies, personal interview sessions with experts. They have internal assessment tool designed to test students at the conceptual and practical level. Parameter 2: Faculty (4.3) Total Number Of Faculty Members: 17 Student To Faculty Ratio: 30:1 Parameter 3: Student Experience (4.4) Percentage Of Students Who Complete The Course: Over 85% Post-completion Engagement: They help in profile building and career guidance. Learners also have access to their online learning management system for future references. Placement Assistance: Assistance through an alumni network, resume designing and sharing with job consultants, mock interviews, We believe in quality training and support all throughout the span of the course and beyond. Parameter 4: Other Determining Factors (4.4) Entry Criteria Of Students: Students are selected based on STEM or Non-STEM and work experience (if any) and the suitable course is suggested accordingly. External Collaboration: They have a partnership with Asean Data Analytics Exchange, Malaysia. This collaboration is recognized with the HR Ministry of Malaysia and we have already started delivery of programs there. The overall rating is 4.32.

6| Artificial Intelligence Engineer Master's Program By Simplilearn

Year Of Inception: 2010 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad, Pune Duration Of The Program: 1 year Total Number Of Learning Hours: 400+ Course Fees: ₹ 44,999 Simplilearn provides outcome-based online training across digital technologies and applications such as big data, machine learning, AI, cloud computing, cybersecurity, digital marketing and other emerging technologies. Based in San Francisco, CA, Raleigh, NC and Bangalore, India; Simplilearn has helped more than one million professionals and 1,000 companies across 150 countries get trained, acquire certifications and reach their business and career goals. Parameter 1: Course Content (4.3) Comprehensiveness: This course is co-developed with IBM and gives training on skills such as deep learning, machine learning and programming languages. Some of the techniques covered are AI-based supervised and unsupervised techniques like regression, Multinomial Naïve Bayes, SVM, tree-based algorithms, NLP etc. Capstone Projects/Internships: Less than 3 months Frequency Of Course Updation: Regularly: Every Year Accessing Students At The End Of Course: Apart from the attendance, they also assess student’s performance on the basis of Capstone projects. Learning Resources: Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects, Self-paced videos and Live Virtual classes, integrated labs Parameter 2: Faculty (4.3) Total Number Of Faculty Members: 35 Student To Faculty Ratio: 35:1 Parameter 3: Student Experience (4.3) Percentage Of Students Who Complete The Course: Over 70 percent Post-completion Engagement: They have a team that connects with learners to understand the impact the program has created for them. They also have a JobAssist program, an India specific offering in Partnership with IIMJobs.com to help the learners land their dream job. Upon successful completion of the Master’s Program, the learner will be eligible to apply for this program and details will be shared with IIMJobs. Placement Assistance: Resume designing and sharing with Job consultants, Career counselling and mock interviews, IIMJobs Pro-Membership for 6 Months, Career Fairs Parameter 4: Other Determining Factors (4.0) Entry Criteria Of Students: Anyone with a technical background can apply External Collaboration: Simplilearn has partnered with IBM that combines Simplilearn’s seamless training experience and world-class instructors with IBM’s state-of-the-art labs and course content. Upon completion of this Master's Program, the learner receives certificates from IBM for IBM specific courses and Simplilearn for the AI courses on the learning path. The overall rating is 4.22.

7| Post-Graduate Diploma in Machine Learning and Artificial Intelligence By Careers of Tomorrow - Amity University Online

Year Of Inception: 2018 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad Duration Of The Program: 12 Months Total Number Of Learning Hours: 400+ Hours Course Fees: ₹ 1,55,000 Careers of Tomorrow by Amity University Online is an online education platform, where they also have programs for data science, blockchain technology, machine learning, cybersecurity and others apart from the usual courses. Parameter 1: Course Content (4.3) Comprehensiveness: The course offers machine learning, reinforcement learning and deep learning all in a single program. The curriculum and pedagogy were decided by a panel of veterans from academia and industry to make it best suited for the industry. It covers extensive hands-on and tool-based training on various tools and libraries like Anaconda, Jupyter Notebooks, Tableau, Tensor Flow, Keras, neural networks etc. Capstone Projects/Internships: Less than 3 months Frequency Of Course Updation: Frequently- Every new batch Assessing Students At The End Of The Course: Every module has quizzes, assignments, hands-on, case studies and examination. The examination is conducted semester-wise at the end of each module. Learning Resources: Books, Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects, 24*7 Assistance by Tutor Associates is also provided

Parameter 2: Faculty (4.5)

Total Number Of Faculty Members: 5 Student To Faculty Ratio: 20:1 Parameter 3: Student Experience (4.1) Percentage Of Students Who Complete The Course: 100% Post-completion Engagement: Students support, newsletter, membership, events, alumni activities, career assistance for up to 12 months. Placement Assistance: Guaranteed job interview with hiring partner, assistance through an alumni network, resume designing and sharing with job consultants, career counselling and mock interviews, sponsor students to attend industry event/conference to network for industry peers Parameter 4: Other Determining Factors (3.9) Entry Criteria Of Students: Interview by Admission counsellors and Program Director External Collaboration: None The overall rating is 4.20.

8| Post-Graduate Program in Artificial Intelligence and Machine Learning By Edureka

Vineet Chaturvedi, Co-founder, Edureka Year Of Inception: 2011 Cities Of Operation: Bengaluru, New Delhi & international reach across 100+ countries through live, online, instructor-led and self-paced programs Duration Of The Program: 9 Months Total Number Of Learning Hours: 450+ Course Fees: ₹2,62,500 (Inclusive of all taxes) Edureka is a global e-learning platform with 200+ courses in trending technologies. They are pioneers of the live, instructor-led learning model, and offer short and long-term courses supported by online resources and 24x7 lifetime support. They boast of a learner community across 100+ countries. Parameter 1: Course Content (4.1) Comprehensiveness: Skills covered in the course are predictive analytics, practical applications of AI and ML, graphical models and reinforcement learning, deep learning, Python, TensorFlow, Keras, and OpenAI Gym. Individuals are mentored by NITW professors and on course completion, the individual receives a PGP certificate and become an alumnus of the E&ICT Academy, NITW. Capstone Projects/Internships: Less than 3 months Frequency Of Course Updation: Regularly- Every Year Accessing Students At The End Of Course: Assessment is done on multiple levels. Level 1 includes tests, quizzes. Level 2 consists of a live, industry-standard project and level 3 comprises of the final test and a capstone project after completion of the program. Learning Resources: LMS, Recorded Video Sessions, Class Recordings, PDFs, Presentations, Mobile App, Downloadable Content, Blogs, YouTube Videos, and Community of Experts for Discussions Parameter 2: Faculty (4.4) Total Number Of Faculty Members: 15 Student To Faculty Ratio: 15:1 Parameter 3: Student Experience (4.1) Post-completion Engagement: Placement assistance, alumni network of NITW and Edureka and community Placement Assistance: Resume building, interview preparation, mock interviews, access to the alumni network, community discussions, floating of job openings in corporate clients and partner companies in learner groups, referring relevant learners to corporate partners as and when requirements arise Parameter 4: Other Determining Factors (4.1) Entry Criteria Of Students: Based on merit & eligibility determined through an interview External Collaboration: It has corporate partners such as Cisco, TCS, Infosys, VISA, Wipro, KPMG etc. and educational institutes to promote post-graduate IT training such as with NIT, Warangal and Rourkela and IIT, Guwahati. The overall rating is 4.17.

9| Applied Machine Learning Course By Applied AI Course

Team Applied AI Year Of Inception: 2017 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad, Kolkata, Pune, Jaipur, Worldwide (Online) Name Of The AI Program: Duration Of The Program: 12 Months (Self-paced) Total Number Of Learning Hours: 150+ Hours video content and 70+ Hours Live sessions Course Fees: ₹ 25,000 + taxes Applied AI Course is an ed-tech company that runs an online program on Machine Learning and Artificial Intelligence for engineering grads and entry-level & experienced techies. Parameter 1: Course Content (4.1) Comprehensiveness: The course helps participants get a hang on real-world business problems. The program balances theory and practises while giving more preference to practical and applied aspects of AI. Capstone Projects/Internships: More than 3 months Frequency Of Course Updation: Frequently: Every new batch Assessing Students At The End Of The Course: Regular assessment tests are done using an AI assessment platform developed by the Applied AI team. Learning Resources: Books, Videos & Downloadable Resources, LMS & Online webinars, Organize industry guest lectures, Analytics/Data Science events in-campus, Hands-on coding and projects Parameter 2: Faculty (3.9) Total Number Of Faculty Members: 16 Student To Faculty Ratio: 50:1 Parameter 3: Student Experience (3.8) Percentage Of Students Who Complete The Course: 25 to 30 Post-completion Engagement: Resume, portfolio building and interview preparation through mock interviews. Placement Assistance: Guaranteed job placement with the corporate, guaranteed job interview with hiring partner, career counselling and mock interviews Parameter 4: Other Determining Factors (3.9) External Collaboration: They have delivered up-skilling training programs to enterprises and educational institutions such as Deutsche Telekom, SPI Global, CA technologies, ACE engineering college among others. The overall rating is 3.92.

10| Artificial Intelligence Foundation Program By Pearson Professional

Instructors Noah Gift, Jared P Lander, Ben Forta (L-R) Year Of Inception: 1844 Cities Of Operation: Mumbai, Bengaluru, Delhi/NCR, Chennai, Hyderabad, Kolkata, Pune, Jaipur Duration Of The Program: 6 Months Total Number Of Learning Hours: 58 Hours Course Fees: ₹ 9,971 One of the largest education companies with over 35,000 employees in more than 70 countries, it provides education in many domains. The AI curriculum is set by Nasscom and Sector Skills Council of India. Pearson’s Artificial Intelligence Foundation curriculum is created and taught by globally renowned experts in the field of AI ensuring world-class content. Parameter 1: Course Content (3.7) Comprehensiveness: The self-paced videos are complemented by virtual labs which provide extensive hands-on coding practice within the course environment. It covers topics such as fundamentals of databases, object-oriented programming, data structures, programming languages, regressions, different forms of graphs, etc. Capstone Projects/Internships: None Frequency Of Course Updation: Regularly: Every Year Assessing Students At The End Of The Course: Students are assessed through regular MCQs and coding problems. In total 28 coding problems and 10 MCQ type assessments are present in the course Learning Resources: Videos & Downloadable Resources, Hands-on coding and projects Parameter 2: Faculty (3.5) Total Number Of Faculty Members: 4 Parameter 3: Student Experience (3.2) Parameter 4: Other Determining Factors (3.7) The overall rating is 3.52. Read the full article

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