#Python Free Online Training

[rahulacademy]

AI Automated Testing Course with Venkatesh (Rahul Shetty) Join our AI Automated Testing Course with Venkatesh (Rahul Shetty) and learn how to test software using smart AI tools. This easy-to-follow course helps you save time, find bugs faster, and grow your skills for future tech jobs. To know more about us visit https://rahulshettyacademy.com/

[wineezy]

Now Learning to code is much easier with online courses of Wineezy as we offers you flexible hours of classes with extremely fun and interactive by building problem solving skills in young children that helps in improving their academic performance and imaginative thinking. Enroll your child for Online Coding classes of Wineezy and secure the future in this techie world. Wineezy Powered by Safcodes https://www.wineezy.com/courses

[mtariqniaz]

The 20 Best Programming Languages to Learn in 2024

In this article, I’ll share the best programming languages in 2024. Choosing the best programming language can be tricky. Plus, when you consider that the Stack Overflow developer survey alone lists more than 40 different programming languages, there’s a lot to choose from! So, if you’re curious about the best programming language to learn, I’m here to help! Perhaps you’re interested in data, and…

[realtor-ujay]

Registration ongoing

[spoonsand]

RIP RED DEAD CHARACTERS YOU WOULD HAVE LOVED

Dutch- disposable fruity flavoured (mango) vapes, Duolingo

Hosea- rollerblading, old VHS movies, The Sound of Music, ear studs, small hoops, and ear cuffs

Arthur- LED strip lights, therapy, The Joy of Painting

John- Ax body spray, deodorant, those little arm floaties little kids wear in the pool

Mary-Beth- Lego flowers, The Notebook, Pinterest

Tilly- Easter egg hunts, making slime, slumber parties

Karen- Tube/crop tops, jean shorts, weightlifting

Sean- make your own mead kits, TikTok, “kiss me in Irish”, SUNSCREEN

Abigail- AirTags (she would put one on little Jack), Roasting marshmallows, Crime shows/courtroom dramas, Man! I Feel like a woman! By Shania Twain

Uncle- recliner chairs, dog sledding, Wheel of Fortune, Crosswords

Susan- Dark nail polish, cats(I’m 100% sure she’d own either a black cat or a tortishell that would sit on her lap/shoulder), dishwashers

Kieran- Creep by Radiohead, Tv shows about veterinarians, friendship bracelets (with Arthur)

Reverend Swanson- Support groups, The Robert Langdon series (especially Inferno, Angels & Demons), communion wine

Javier- Cards Against Humanity, online sheet music, ear gauges

Molly- Champaign toast anything from bath and bodywork’s, naval AND lip piercing, SUNSCREEN

Bill-sexy firefighter calendars, Grindr, Bumbl, all the dating apps, apples dipped in caramel, jolly ranchers

Charles- IMessage games (mini golf and battleship in particular), those long distance ‘thinking of you bracelets’, 90’s sitcoms

Lenny- The Carpenters, cologne to make him seem grown up, head pats

Trelawney- Harry Houdini, 50-60s movies, smoke bombs, dramatic flares

Strauss- a soul, Nigerian Prince scams, telemarketing

Sadie- gyms, self defence classes, the free Britany movement

Micah- staying in the strawberry jail, toothbrush + paste, good posture

Pearson- small businesses, handmade gifts, trying TikTok recipes

EXTRA

Annabelle- Gwen Stefani, sequins, Fast and the Furious

Jack (young)- The Backyardagains, cocomelon, a little toy train

Jack (epilogue)- Monty Python, skateboarding, swimming

Bessie- Bette Midler look a like contests, growing old, brown eyeliner, SUNSCREEN

[biopractify]

Free online courses for bioinformatics beginners

🔬 Free Online Courses for Bioinformatics Beginners 🚀

Are you interested in bioinformatics but don’t know where to start? Whether you're from a biotechnology, biology, or computer science background, learning bioinformatics can open doors to exciting opportunities in genomics, drug discovery, and data science. And the best part? You can start for free!

Here’s a list of the best free online bioinformatics courses to kickstart your journey.

📌 1. Introduction to Bioinformatics – Coursera (University of Toronto)

📍 Platform: Coursera 🖥️ What You’ll Learn:

Basic biological data analysis

Algorithms used in genomics

Hands-on exercises with biological datasets

🎓 Why Take It? Ideal for beginners with a biology background looking to explore computational approaches.

📌 2. Bioinformatics for Beginners – Udemy (Free Course)

📍 Platform: Udemy 🖥️ What You’ll Learn:

Introduction to sequence analysis

Using BLAST for genomic comparisons

Basics of Python for bioinformatics

🎓 Why Take It? Short, beginner-friendly course with practical applications.

📌 3. EMBL-EBI Bioinformatics Training

📍 Platform: EMBL-EBI 🖥️ What You’ll Learn:

Genomic data handling

Transcriptomics and proteomics

Data visualization tools

🎓 Why Take It? High-quality training from one of the most reputable bioinformatics institutes in Europe.

📌 4. Introduction to Computational Biology – MIT OpenCourseWare

📍 Platform: MIT OCW 🖥️ What You’ll Learn:

Algorithms for DNA sequencing

Structural bioinformatics

Systems biology

🎓 Why Take It? A solid foundation for students interested in research-level computational biology.

📌 5. Bioinformatics Specialization – Coursera (UC San Diego)

📍 Platform: Coursera 🖥️ What You’ll Learn:

How bioinformatics algorithms work

Hands-on exercises in Python and Biopython

Real-world applications in genomics

🎓 Why Take It? A deep dive into computational tools, ideal for those wanting an in-depth understanding.

📌 6. Genomic Data Science – Harvard Online (edX) 🖥️ What You’ll Learn:

RNA sequencing and genome assembly

Data handling using R

Machine learning applications in genomics

🎓 Why Take It? Best for those interested in AI & big data applications in genomics.

📌 7. Bioinformatics Courses on BioPractify (100% Free)

📍 Platform: BioPractify 🖥️ What You’ll Learn:

Hands-on experience with real datasets

Python & R for bioinformatics

Molecular docking and drug discovery techniques

🎓 Why Take It? Learn from domain experts with real-world projects to enhance your skills.

🚀 Final Thoughts: Start Learning Today!

Bioinformatics is a game-changer in modern research and healthcare. Whether you're a biology student looking to upskill or a tech enthusiast diving into genomics, these free courses will give you a strong start.

📢 Which course are you excited to take? Let me know in the comments! 👇💬

[loser-female]

Hi! You mentioned there are online tutorials/sites for learning Comp Sci and OSINT - any recommendations? Thanks!

Hi! You got lucky that today is the day I check my inbox lol. So. For comp-sci: - CS50X from Harvard is a public avaiable course on youtube I'd 100% recommend. These are the undedited (so far) lectures of 2024: https://www.youtube.com/watch?v=3LPJfIKxwWc&list=PLhQjrBD2T381WAHyx1pq-sBfykqMBI7V4&ab_channel=CS50

This gives you all the basics you need to understand how coding and pcs in general works. (I had comp sci in my university course)

- Freecodecamp is a website full of FREE tutorials on several programming language. Advice: learn python. You will understand later on.

- The rest really depends on what you actually want to learn and why - each programming language has its own purpose and application. OSINT: -There is this full course: https://www.youtube.com/watch?v=qwA6MmbeGNo&t=205s&ab_channel=TheCyberMentor (But you can find more on youtube.) - Bellingcat's resources: https://www.bellingcat.com/category/resources/ -IntelTecniques: https://inteltechniques.com/ - Osint Newesletter: https://osintnewsletter.com/

But here is the catcher: if you plan to do osint it heavily depends on where you live. I'm in Europe, so it means I'm under GDPR, therefore I must abid to stricter regulations than a US OSINT analyst. A lot of data that might be considered public domain in the US(big one: conviction records) are not in europe, and you won't be able to access it unless you are a registered private investigator at least (but in my case it's rare that I go after people, that's not a part of any task I might encounter at work). Not only that, but a lot of the avaiable tools are designed to work only with specific countries in mind for various reasons and there is a big bias on US-based investigations. If youre' not in the US I recommend you reach out to your local OSINT or cybersecurity professionals association, they usually have resources and specific information, a lot of times for free. Also keep in mind: OSINT has a lot of different applications and it depends on what you're doing with it. Journalists might work more with satellites and images (a thing I know nothing about), debunkers will definitely understand social media more, if you do business intelligence you will look more at news sites, trademarks and deposits and so on to reach your conclusion. You did your course... Now what? I recommend getting on CTFs, like tracelabs that I've linked above, but there many of them (osint dojo for example) or Kase Scenarios. These are safe environments to practice on (except for tracelabs since it deal with actual cases of missing people and it can lead to... not so good leads, allow me to leave it there) You should also understand how intelligence (as the discipline) works. There are several resources, but my favourite is definitely Psychology of Intelligence Analysis. It's a series of declassified training documents from CIA analyst Richard Bauer, that was based on Daniel Kahneman (yes, the "thinking fast and slow" author, and I also do recommend this book) research on euristics. Intelligence is fundamental because OSINT might be helpful to gather the data, but the data then needs to be processed, analysed and you also need to get a conclusion from that analysis. Studying intelligence will help you avoid a lot of pitfalls that happens when you do an investigation, such as not understanding when you know enough, if you're being a victim of your own bias, if you're missing something or if you're going with the right approach. But I have to admit that the best of training I've received so far is from my local OSINT association because I've been able to train with people that work(ed) in the military, get their advice and have a deep understand of the work itself (and the reason why I have decided to actually make cyber threat intelligence my job, even if I work for a private company and I have no interest in working for the government). And yes ethics is a big thing for the OSINT community.

I hope this is helpful enough!

[tearsinthemist]

Want to learn something new

Want to learn something new in 2022??

Absolute beginner adult ballet series (fabulous beginning teacher)

40 piano lessons for beginners (some of the best explanations for piano I’ve ever seen)

Excellent basic crochet video series

Basic knitting (probably the best how to knit video out there)

Pre-Free Figure Skate Levels A-D guides and practice activities (each video builds up with exercises to the actual moves!)

How to draw character faces video (very funny, surprisingly instructive?)

Another drawing character faces video

Literally my favorite art pose hack

Tutorial of how to make a whole ass Stardew Valley esque farming game in Gamemaker Studios 2??

Introduction to flying small aircrafts

French/Dutch/Fishtail braiding

Playing the guitar for beginners (well paced and excellent instructor)

Playing the violin for beginners (really good practical tips mixed in)

Color theory in digital art (not of the children’s hospital variety)

Retake classes you hated but now there’s zero stakes:

Calculus 1 (full semester class)

Learn basic statistics (free textbook)

Introduction to college physics (free textbook)

Introduction to accounting (free textbook)

Learn a language:

Ancient Greek

Latin

Spanish

German

Japanese (grammar guide) (for dummies)

French

Russian (pretty good cyrillic guide!)

Jan 2, 2023

Want to learn something new in 2023??

Cooking with flavor bootcamp (used what I learned in this a LOT this year)

Beekeeping 101

Learn Interior Design from the British Academy of Interior Design (free to audit course - just choose the free option when you register)

Video on learning to read music that actually helped me??

How to use and sew with a sewing machine

How to ride a bike (listen. some of us never learned, and that's okay.)

How to cornrow-braid hair (I have it on good authority that this video is a godsend for doing your baby niece's black hair)

Making mead at home (I actually did this last summer and it was SO good)

How to garden

Basics of snowboarding (proceed with caution)

How to draw for people who (think they) suck at art (I know this website looks like a 2003 monstrosity, but the tutorials are excellent)

Pixel art for beginners so you can make the next great indie game

Go (back) to school

Introduction to Astronomy (high school course - free textbook w/ practice problems)

Principals of Economics (high school course - free textbook w/ practice problems)

Introduction to philosophy (free college course)

Computer science basics (full-semester Harvard course free online)

Learn a language

Japanese for Dummies (link fix from 2022)

Ukrainian

Portuguese (Brazil)

American Sign Language (as somebody who works with Deaf people professionally, I also strongly advise you to read up on Deaf/HoH culture and history!)

Chinese (Mandarin, Simplified)

Quenya (LOTR fantasy elf language)

Dec 26, 2023

Want to learn something new in 2024??

Beginner-oriented video on how to sail

This guy has so many videos on baking different types of bread. SO very many.

Coding in Python - one of the most flexible and adaptable high-level programming languages out there - explained through projects making video games

Learn to swim! (for adult learners. I don’t care if you live in Kansas or Mali or wherever. LEARN TO SWIM.)

Learn how quantum mechanics works. Then read some more about it

[Learn about quantum mechanics again, but in a more advanced engineering/mathematics class. Then read more about the math and physics of it]

Poetry Handbook, by Mary Oliver

Something I learned this year: how to sew a quilt (Here’s a very easy beginning pattern that looks amazing and can be done with pre-cut fabric!)

How to hit the ball in softball

Tutorial video on what is under the hood of most (gas) cars + weird engine sounds and what they mean

Full beginner mechanics technical training, if you want to go more in depth

Playlist on how car engine physics work if you want to go ultra in depth

Lecture series on architecture design through study of buildings

How (American income) taxes & tax law work (choose “audit course” at checkout for free class)

Pickleball for beginners (so you can finally join your neighbor/friend/distant cousin who is always insisting you join their team)

+ Para-Pickleball for beginners (for mobility aid users!)

School is so much more fun when there’s no tests:

American Law - Contracts

Shakespeare’s Life and Plays

Fairy Tales: Meanings, Messages, and Morals

Modern Poetry

World History [Part 1, Part 2]

Learn a language:

Arabic + Resource Guide compiled from Reddit (includes info on different dialects)

Chinese (Cantonese) (audio)

Urdu (frequently recommended course on Reddit) + Resource Guide

Yucatec Maya

[ccrepitations]

You know what, I'll just ask:

Explanation about the Programming Hell my week has been:

So I started doing a few streams earlier this year reading books aloud. I had a camera on the pages while I read, I'd comment on stuff, used ReactBot a little, at one point a whole 4 people were there.

I've been going through some bad depression moods, and I still want to stream and share books but I dont think I can talk for that long when my mood makes me go nonverbal. I know part of the mood slump is related to not having basically any audience, and I know I won't gain an audience by only streaming once a month or so. So I need to keep streaming even when I'm feeling nonverbal.

The solution I thought of was using TTS (text-to-speech) on books I have saved to my PC, using something like Calibre to read them in the background. There's free to use open source voices, but I wanted to make my own so it still kinda sounded like me and didn't steal someone's likeness. I don't like the idea of making content using someone else's voice, so I looked into making one with my own.

First I looked at the paid programs with good UIs, but not only are they really fucking expensive, they also have hardcoded length limits even on the paid version. I can't get those to read a full book unless I only go at around 30 minutes of reading a month while paying up to $100 monthly to do it, which isn't really an option. I'm on disability, I can't afford that shit.

So I looked at the open source options bc open source means its free. My problem: I can't code to save my life and my experience in the past with programming forums like GitHub and Reddit has been people becoming condescending or hostile when I explain that I have been actively trying to learn to code for 10+ years and it never works. It's interpreted as me not trying or taking "the easy route" because I can't do even the simple stuff. I wish I could. I gave it an honest shot this time, I spent so much fucking time in my command prompt, typing in installs and running python commands, searching errors online to figure out what was going wrong, editing py files and json files and yaml files, learning how to use Audacity to read the metadata of my recordings and make sure they were the right MHz to use in training--and none of it worked. Even when everything I found on horribly formatted GitHub directories SAID it should have been working, it was just a big non functional pile of errors.

So I've given up on making a TTS clone with my voice bc I can't get these "easy codes" to work and the paid ones don't work for what I want or are ridiculously expensive (and mostly still have limits on usage length that mean they wouldnt work).

If anyone reads this and knows how to get these things working properly for cloning--Coqui, Tortoise, Piper, XTTS, any other open source one--reach out and let me know how to do it, because I really tried. Better yet, if you can prove you're trustworthy and are willing to do it, I would love you forever; I can't offer any payment bc I'm on permanent disability and can barely afford things like rent and food, but I would be eternally grateful and willing to draw you stuff and give you a shoutout if that's worth anything to you.

To anyone saying "Just learn to code, you can't give up after a week": This has been an ongoing thing. This is just the latest adventure in "Jasper is failing to learn Python at every turn", along with "why I hate Ren'Py" (that one's been ongoing for years now) and "GitHub has really user-unfriendly layouts" (ever since I got my Graphic Design degree 10 years ago)

[izicodes]

Hello, I’ve been following your blog because it’s interesting to hear about your journey for coding and the absolute joy that I see as you talk about it. S o I wish you the best! And i’m curious, currently I’m training to be a health administrator. Is there any starting coding programs or any subjects in coding or programming that I can pick up?

Hiya!

First of all, thanks so much for reaching out and following along on my journey (4 years going strong LET'S GO!). It truly means a lot to hear that you find it interesting enough - that's exactly the feeling I hope to convey!

Second, courses in coding/programming in regards to Health Admin; from the top of my head, I would presume that data would be involved, so any SQL courses online would help! SQL is a fundamental programming language for querying and manipulating data stored in relational databases. Getting good at it could be a plus! (Always looks nice on a CV/Resume anyways~).

Python could also be good for data analysis. Also, look into Medical Coding and see if that's something you want to go into later - it's like if you merged healthcare with programming! I don't know courses from the top of my head but you can find courses on Udemy, Coursea, or even for free YouTube (more for SQL and Python) or buy a course that gives you a certificate at the end to add to your resume or LinkedIn in the end!

Good luck! 🌷

[rahulacademy]

The Role of AI in Modern Software Testing Practices

AI is reshaping the way software testing is done. With AI automated testing, businesses can achieve higher efficiency, better accuracy, and faster software releases. Whether it’s AI software testing, AI generator testers, or AI-driven automation, the future of software testing is AI-powered.

[seereeservices]

Best IT Courses In Bhubaneswar:- seeree services pvt ltd.

Introduction:- seeree is one of the best IT training institute and Software industry, features completely Industrial training on Python , PHP , .NET , C Programming,Java , IOT , AI , GD PI , ORACLE and ALL CERTIFICATION COURSES as well as provides seminar,cultural activity and jobs

Courses we provided:- 1) Java Fullstack 2) Python Fullstack 3) PHP Fullstack 4) Preplacement Training & Sp. Eng 5) .NET Fulstack 6) SEO/Digital Marketing 7) SAP 8) MERN 9) Software Testing 10)Data Analyst 11)Data Science 12)Data Engineering 13)PGDCA 14)Tally 15)Graphics Design

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A Class in Java is where we teach objects how to behave. Education at seeree means way to success. The way of teaching by corporate trainers will bloom your career. We have the best java training classes in Bhubaneswar. 100% Placement Support. Job Support Post Training. This course will give you a firm foundation in Java, commonly used programming language. Java technology is wide used currently. Java is a programming language and it is a platform. Hardware or software environment in which a program runs, known as a platform. Since Java has its own Runtime Environment (JRE) and API, it is called platform. Java programming language is designed to meet the challenges of application development in the context of heterogeneous, network-wide distributed environment. Java is an object-oriented programming (OOP) language that uses many common elements from other OOP languages, such as C++. Java is a complete platform for software development. Java is suitable for enterprise large scale applications.]

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[shivadmads]

Top Free Python Courses & Tutorials Online Training | NareshIT

Top Free Python Courses & Tutorials Online Training | NareshIT

In today’s tech-driven world, Python has emerged as one of the most versatile and popular programming languages. Whether you're a beginner or an experienced developer, learning Python opens doors to exciting opportunities in web development, data science, machine learning, and much more.

At NareshIT, we understand the importance of providing quality education. That’s why we offer free Python courses and tutorials to help you kick-start or advance your programming career. With expert instructors, hands-on training, and project-based learning, our Python online training ensures that you not only grasp the fundamentals but also gain real-world coding experience.

Why Choose NareshIT for Python Training?

Comprehensive Curriculum: We cover everything from Python basics to advanced concepts such as object-oriented programming, data structures, and frameworks like Django and Flask.

Expert Instructors: Our team of experienced instructors ensures that you receive the best guidance, whether you're learning Python from scratch or brushing up on advanced topics.

Project-Based Learning: Our free tutorials are not just theoretical; they are packed with real-life projects and assignments that make learning engaging and practical.

Flexible Learning: With our online format, you can access Python tutorials and training anytime, anywhere, and learn at your own pace.

Key Features of NareshIT Python Courses

Free Python Basics Tutorials: Get started with our easy-to-follow Python tutorials designed for beginners.

Advanced Python Concepts: Dive deeper into topics like file handling, exception handling, and working with APIs.

Hands-on Practice: Learn through live coding sessions, exercises, and project work.

Certification: Upon completion of the course, earn a certificate that adds value to your resume.

Who Can Benefit from Our Python Courses?

Students looking to gain a solid foundation in programming.

Professionals aiming to switch to a career in tech or data science.

Developers wanting to enhance their Python skills and explore new opportunities.

Enthusiasts who are passionate about learning a new skill.

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At NareshIT, we are committed to providing accessible education for everyone. That’s why our free Python courses are available online for anyone eager to learn. Whether you want to build your first Python program or become a pro at developing Python applications, we’ve got you covered.

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[shemsuji432]

Exploring Python: Unveiling Its Features and Advantages

To begin learning Python, it's like starting an adventure. Imagine finding a special course that teaches you all about Python. This course should cover the basics like how to write the language, how to work with different types of information, and how to make your programs do things like repeat actions and remember stuff. But that's not all! It's like finding a treasure chest if the course also shows you more advanced ideas like building special kinds of programs, handling files, and using helpful tools that others have created.

From my own experience, it's like joining a team of ACTE that really know their stuff. They'll guide you through all the important things you need to know. They're so good that they even offer different ways of learning: you can learn with them in a classroom or even on the internet. And guess what? They even help you find a good job after you've learned a lot!

When you learn with them, it's like becoming a superhero who understands Python really well. You'll be able to use Python to create things in the real world, like games, apps, and more. I started my own adventure at ACTE Training Institute, and now I'm really skilled at using Python.

My own Python journey commenced at ACTE, enabling me to progress to an expert level. Here are key points to consider before commencing your Python learning experience:

Course Content and Curriculum: A course that covers Python fundamentals comprehensively, encompassing topics from syntax and data types to loops, functions, and beyond. Advanced subjects like object-oriented programming and working with libraries should also be included.

Hands-on Practice: Practical exercises and coding assignments are crucial for reinforcing learning. Confirm that the course provides ample hands-on practice and projects to apply acquired knowledge.

Instructor Expertise: Evaluate the instructors' qualifications and experience in both Python programming and teaching to ensure high-quality guidance.

Student Reviews and Testimonials: Look for feedback from former students, accessible through searches for "student reviews" or "student testimonials."

Flexible Learning Options: Choose a course that offers flexibility, whether through self-paced learning, live online classes, or a blend of both, to suit your preferences and schedule.

Project-Based Learning: Emphasizing project-based learning is highly advantageous, as it enables the application of knowledge in practical scenarios and the creation of a portfolio.

Support and Community: A supportive learning environment is vital, providing access to instructors and a community forum or chat for interaction among learners.

Additional Resources: Access to supplementary materials like lecture notes, code samples, and top MNC questions is valuable for future reference.

Price and Value: Prioritize course quality over cost. A well-structured course with comprehensive content and robust support may be worth a higher investment.

Course Duration: Consider your learning style—some prefer intensive shorter courses, while others benefit from longer durations with more practice time.

Certification: If certification holds importance for you, choose a course that offers certificates to enhance your resume or portfolio.

If you want to learn more about Python, feel free to contact ACTE Institution because they offer certifications and job opportunities. Experienced teachers can help you learn better. You can find these services both online and offline. Take things step by step and consider enrolling in a course if you’re interested.

[biopractify]

How to Transition from Biotechnology to Bioinformatics: A Step-by-Step Guide

Biotechnology and bioinformatics are closely linked fields, but shifting from a wet lab environment to a computational approach requires strategic planning. Whether you are a student or a professional looking to make the transition, this guide will provide a step-by-step roadmap to help you navigate the shift from biotechnology to bioinformatics.

Why Transition from Biotechnology to Bioinformatics?

Bioinformatics is revolutionizing life sciences by integrating biological data with computational tools to uncover insights in genomics, proteomics, and drug discovery. The field offers diverse career opportunities in research, pharmaceuticals, healthcare, and AI-driven biological data analysis.

If you are skilled in laboratory techniques but wish to expand your expertise into data-driven biological research, bioinformatics is a rewarding career choice.

Step-by-Step Guide to Transition from Biotechnology to Bioinformatics

Step 1: Understand the Basics of Bioinformatics

Before making the switch, it’s crucial to gain a foundational understanding of bioinformatics. Here are key areas to explore:

Biological Databases – Learn about major databases like GenBank, UniProt, and Ensembl.

Genomics and Proteomics – Understand how computational methods analyze genes and proteins.

Sequence Analysis – Familiarize yourself with tools like BLAST, Clustal Omega, and FASTA.

🔹 Recommended Resources:

Online courses on Coursera, edX, or Khan Academy

Books like Bioinformatics for Dummies or Understanding Bioinformatics

Websites like NCBI, EMBL-EBI, and Expasy

Step 2: Develop Computational and Programming Skills

Bioinformatics heavily relies on coding and data analysis. You should start learning:

Python – Widely used in bioinformatics for data manipulation and analysis.

R – Great for statistical computing and visualization in genomics.

Linux/Unix – Basic command-line skills are essential for working with large datasets.

SQL – Useful for querying biological databases.

🔹 Recommended Online Courses:

Python for Bioinformatics (Udemy, DataCamp)

R for Genomics (HarvardX)

Linux Command Line Basics (Codecademy)

Step 3: Learn Bioinformatics Tools and Software

To become proficient in bioinformatics, you should practice using industry-standard tools:

Bioconductor – R-based tool for genomic data analysis.

Biopython – A powerful Python library for handling biological data.

GROMACS – Molecular dynamics simulation tool.

Rosetta – Protein modeling software.

🔹 How to Learn?

Join open-source projects on GitHub

Take part in hackathons or bioinformatics challenges on Kaggle

Explore free platforms like Galaxy Project for hands-on experience

Step 4: Work on Bioinformatics Projects

Practical experience is key. Start working on small projects such as:

✅ Analyzing gene sequences from NCBI databases ✅ Predicting protein structures using AlphaFold ✅ Visualizing genomic variations using R and Python

You can find datasets on:

NCBI GEO

1000 Genomes Project

TCGA (The Cancer Genome Atlas)

Create a GitHub portfolio to showcase your bioinformatics projects, as employers value practical work over theoretical knowledge.

Step 5: Gain Hands-on Experience with Internships

Many organizations and research institutes offer bioinformatics internships. Check opportunities at:

NCBI, EMBL-EBI, NIH (government research institutes)

Biotech and pharma companies (Roche, Pfizer, Illumina)

Academic research labs (Look for university-funded projects)

💡 Pro Tip: Join online bioinformatics communities like Biostars, Reddit r/bioinformatics, and SEQanswers to network and find opportunities.

Step 6: Earn a Certification or Higher Education

If you want to strengthen your credentials, consider:

🎓 Bioinformatics Certifications:

Coursera – Genomic Data Science (Johns Hopkins University)

edX – Bioinformatics MicroMasters (UMGC)

EMBO – Bioinformatics training courses

🎓 Master’s in Bioinformatics (optional but beneficial)

Top universities include Harvard, Stanford, ETH Zurich, University of Toronto

Step 7: Apply for Bioinformatics Jobs

Once you have gained enough skills and experience, start applying for bioinformatics roles such as:

Bioinformatics Analyst

Computational Biologist

Genomics Data Scientist

Machine Learning Scientist (Biotech)

💡 Where to Find Jobs?

LinkedIn, Indeed, Glassdoor

Biotech job boards (BioSpace, Science Careers)

Company career pages (Illumina, Thermo Fisher)

Final Thoughts

Transitioning from biotechnology to bioinformatics requires effort, but with the right skills and dedication, it is entirely achievable. Start with fundamental knowledge, build computational skills, and work on projects to gain practical experience.

Are you ready to make the switch? 🚀 Start today by exploring free online courses and practicing with real-world datasets!

[asdckanpur12]

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