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You don’t need a $10,000 bootcamp to learn Data Analytics. (Start with these free resources and go from zero to job-ready.) 1. Programming Essentials → freecodecamp.org: Python for data → learnpython.org: Hands-on Python practice → sqlzoo.net: Learn SQL by doing → mode.com/sql-tutorial: SQL for data analysis 2. Statistics & Probability → khanacademy.org: Interactive stat lessons → seeing-theory.brown.edu: Visual intuition of stats → statquest.org: YouTube explanations made simple 3. Exploratory Data Analysis (EDA) → datacamp.com: Free intro to data viz (first chapter free) → towardsdatascience.com: Blog posts with real datasets → kaggle.com/learn/pandas: Hands-on Pandas tutorials 4. Data Visualization → https://lnkd.in/dCRWgPTb: Learn Matplotlib → seaborn.pydata.org: High-level visualization → public.tableau.com: Tableau Public (free tool) → https://lnkd.in/djXY4TGF: Power BI beginner path 5. Machine Learning Basics → scikit-learn.org: ML for beginners → https://lnkd.in/debeAaR5: Learn by doing → mlcourse.ai: Open course with notebooks & competitions → https://lnkd.in/dUMJwsMP: Google’s ML Crash Course 6. GitHub Repos for Practice → https://lnkd.in/dpPpNrKS: Pandas exercises → https://lnkd.in/dC3Vw877: Interview prep → https://lnkd.in/deZUW8fD: Project guide → https://lnkd.in/dbC3Gvz4: Real-world use cases 7. Real-World Projects → kaggle.com/datasets: Download & analyze datasets → data.gov: Public US data → ourworldindata.org: Clean, curated datasets → awesome-datascience.com: Project ideas & datasets 8. Business Intelligence & Dashboards → powerbi.microsoft.com: Power BI learning path → lookerstudio.google.com: Google’s free dashboarding tool → microsoft.com/learn: Interactive Power BI modules → tableau.com/learn/training: Tableau beginner workshops 9. Cloud for Data → aws.amazon.com/training: Free cloud data courses → cloud.google.com/training: GCP analytics & BigQuery → https://lnkd.in/dHrwqXMC: Azure data learning paths → cloudskillsboost.google: GCP labs & sandboxes Once you’re familiar with the stack, do this: ↳ Join a Data Community (Slack, Discord, LinkedIn groups) ↳ Follow Blogs/Newsletters (e.g., Towards Data Science, The Data Hustle 😉) ↳ Build Portfolio Projects (host on GitHub & share on LinkedIn) ↳ Share Learnings Publicly (start writing or teaching!) ↳ Go for a Certification (Google DA, IBM DS, or Microsoft PL-300) ♻️ Save it for later or share it with someone who might find it helpful! 𝐏.𝐒. I share job search tips and insights on data analytics & data science in my free newsletter. Join here → https://lnkd.in/dUfe4Ac6

New ML learners, I feel you. The storm of ads for ML books and courses is overwhelming. To help, here's a good rule of thumb: During your first 500 hours (~6 months) of learning ML: 👉 YOU SHOULD NOT PAY ANYTHING 👈 There are plenty of outstanding FREE resources available. More than any one person could ever go through. 🔰 Start with Andrew Ng's 3-course series on ML: https://lnkd.in/eFmMZwqV Then, go deep into a few of these other free resources: Courses & Guided Tutorials: • Practical ML with Sklearn: https://lnkd.in/eFmMZwqV • ML Crash Course with TF: https://lnkd.in/ePQgERAh • Intro to ML by Kaggle: https://lnkd.in/ejnufwnH • Deep Learning by FastAI: https://course.fast.ai/ • Hands-on with Sklearn & TF: https://lnkd.in/ep6XrM3z Books (online) • ML: Probabilistic Persp: https://lnkd.in/ewGv65dT • Prob ML: Advanced Topics: https://lnkd.in/en4zhgba • Deep Learning (Goodfellow): https://lnkd.in/ed3b7we7 Framework-specific Tutorials: • TensorFlow: https://lnkd.in/e3Ec-KQG • PyTorch: https://lnkd.in/ejSmp5sT • Scikit-Learn: https://lnkd.in/eXZDjpkT • MLFlow: https://lnkd.in/erqDasT6 Once you've learned as much as you can from free resources, then it may be time to upgrade to paid options. 👇 What other free resources did I miss? 👇 #ml #professionaldevelopment  

Curious about a career in data analytics but worried about your lack of experience? You’re not alone! Breaking Into Data Analytics with No Experience 🎯 Based on the kind of placements I am currently handling, I can confidently say data jobs are here to stay. The demand for data-driven insights is growing across industries. Transitioning into this field can seem daunting, but it’s absolutely achievable. Here are some actionable steps to kickstart your journey: - Leverage Online Courses: Start with free or affordable online courses to build a strong foundation. Platforms like Coursera, edX, and Springboard offer comprehensive programs in data analytics. - Master the Essential Tools: Familiarize yourself with key tools like Excel, SQL, Python, Power BI and Tableau. - Work on Real-World Projects: Look for internship opportunities, freelance projects, or participate in hackathons to apply your skills in real-world scenarios. - Build a Portfolio: Showcase your skills by creating a portfolio of your projects. Include data cleaning, analysis, and visualization tasks to demonstrate your proficiency. - Network and Seek Mentorship: Join online communities, attend industry events, and connect with professionals in the field. - Stay Updated: The data analytics field is constantly evolving. Stay current with the latest trends, tools, and techniques by following industry blogs, podcasts, and webinars. I’ve GOT you. Here are the best FREE courses to learn data analytics: 🖇 All-in-One Guide: Explore the most extensive collection of DATA SCIENCE/ANALYTICS training resources: https://lnkd.in/ghe-XkPp 🖇 Udacity - Intro Data Analysis Courses https://lnkd.in/gEgypMtm 🖇 Alison - Data Analysis https://lnkd.in/g3w4g_s4 🖇 Alistair Croll and Ben Yoskovitz (Udemy) - Lean Analytics Workshop https://lnkd.in/gh-qzkrZ 🖇 DataCamp - Data Science for Everyone https://lnkd.in/gwTgCume 🖇 OpenLearn - Learn to Code for Data Analysis https://lnkd.in/gmqSswsK 🖇 Harvard University - Online Data Science https://lnkd.in/gAceu9u9 🖇 IBM - Introduction to Data Analytics https://lnkd.in/gVKhecU6 🖇 Udemy Free Data Science and Data Analytics Courses https://lnkd.in/ggw3_d77 Follow for more 🙏 Image credit: Careerfoundry

Veterans and military spouses: You don’t need to spend thousands to build new skills. Here are 10 places where you can access legitimate, high-quality training and certifications completely free: ✅ 1. ACT Now Education Comprehensive free access to certifications across industries (PMP, CompTIA, SHRM, etc), career bootcamps, job prep tools, and more. Built by and for veterans and spouses. ✅ 2. Boots to Books Quarterly scholarships of up to $1,000 to pay for a training or professional certification of your choice that aligns with your career goals, biannual textbook scholarships for full-time students whose benefits are being exceeded, and monthly scholarships for Google Career Certifications across industries. ✅ 3. The PenFed Foundation for Military Heroes Grants "Military Heroes Individual Grants are awarded to veterans, active military, National Guard, and Reserve members for community leadership and successful employment expenses that they are unable to afford on their own. Examples include participation in conferences, trainings and certification expenses." Additionally, they have a scholarship with The Culinary Institute of America, view their website for more. ✅ 4. O2O – via Institute for Veterans and Military Families - IVMF Onward to Opportunity (O2O) provides free access to an entire training library and one certification attempt (PMP, Sec+). Covers IT, business, and project management pathways. ✅ 5. Microsoft Software and Systems Academy (MSSA) Intensive, cohort-based training for veterans pursuing careers in cloud and software development. Zero cost. ✅ 6. Amazon AWS Educate Free cloud computing curriculum. Veterans can qualify for certification test reimbursement. ✅ 7. Oracle Veteran Academy Free Oracle Cloud training and professional certifications for veterans and military spouses. ✅ 8. LinkedIn Premium Veterans get 12 months free, which includes full LinkedIn Learning access with 10,000+ courses. ✅ 9. Splunk Work+ Free Foundations 1 and 2 training for veterans and spouses, useful for data analytics and cyber roles. ✅ 10. Fortinet Veterans Program Free cybersecurity training with certifications (NSE 1, 2, and optional 4) for qualifying military members. If you're transitioning, job hunting, or exploring a new field, don’t leave these resources on the table, and don't let your peers miss out on them - SHARE! P.S. If you want to make whatever training you do about 100x more effective, connect with several mentors in the field you're training in as you complete it - even for one-off conversations. These calls help you orient your training to the real world, build a network in your target industry, and refine your resume and interview before it really counts. Plus, you can do unlimited free mentorship calls with folks at leading companies on MilMentor which makes it EASY! Heck, you could talk to someone at Amazon, Oracle, or Microsoft on MilMentor while you did their training all while never paying a cent!

🚀 How I Would Learn Bioinformatics From Scratch 12 Years Later: A Roadmap. If I were starting over, these FREE resources would be my go-to. 🧵👇 🔹 1. Mastering Linux & Command Line Bioinformatics = lots of shell scripting. Start with: 📌 UNIX shell by Software Carpentry (my first intro!): ▶️https://lnkd.in/e-8Dd8DU 📌 Deep dive: How Linux Works (highly recommended!) 📖https://lnkd.in/enHuXWqA 📌 Data Science at the Command Line (2nd ed. free online) 📖https://lnkd.in/eHfgZTgZ https://lnkd.in/eHfgZTgZ 📌 Practice shell commands interactively: 🖥️https://sandbox.bio/ https://sandbox.bio/ 🔹 2. R for Data Science R is essential for bioinformatics! Learn: 📌 Tidyverse for data wrangling & visualization 📖 R for Data Science:https://r4ds.had.co.nz/ https://r4ds.had.co.nz/ 📌 Transforming data (long ↔ wide format) is a must-have skill! 🔹 3. Data Analysis for Life Sciences Took this course 3 times—highly valuable! 📌 Data Analysis for Life Sciences with R by Rafael Irizarry & Michael Love 📖https://lnkd.in/e2UViiqZ 🔹 4. Advanced R Statistics & Genomics 📌 Discovering Statistics with R (great intro with humor!) 📖https://www.discovr.rocks/ 📌 Computational Genomics with R (practical genomic analysis) 📖https://lnkd.in/ewZ_idXJ 📌 Modern Statistics for Modern Biology (Huber & Holmes) 📖https://lnkd.in/eufp8fGY 📌 An Introduction to Statistical Learning (R & Python versions) 📖https://lnkd.in/gdcsZACA 📌 Bioinformatics Data Skills by Vince Buffalo – A must-read! 🔹 5. Linear Algebra & Machine Learning 📌 Finally understood eigenvectors & matrices! ▶️ 3Blue1Brown’s videos:https://lnkd.in/ePH39ji5 📌 For a deeper dive: MIT Linear Algebra ▶️https://lnkd.in/eszDEtJg 📌 Stats & ML explained simply: ▶️ StatQuest by Josh Starmer (I watched the PCA video 20+ times!) https://lnkd.in/exCSFJa5 Final thoughts 📌 Pick one resource based on your stage & start today. 📌 Action beats procrastination. No learning happens by waiting! You don’t need to master everything at once—just start! What are your go-to bioinformatics learning resources? Let me know! 🚀 read my full blog post here: How I Would Learn Bioinformatics From Scratch 12 Years Later: A Roadmap https://lnkd.in/etnUTFjJ I hope you've found this post helpful. Follow me @tangming2005 for more. Subscribe to my youtube Channel https://lnkd.in/eNYwUiQE

Want to learn and practice SQL without going through the headache of downloading software? Here are some great free options to help: 1. Courses – These free courses allow you to start writing SQL right within your browser: - Khan Academy SQL Course - W3Schools - SQLBolt 2. Practice problems – These websites allow you to solve interview-style SQL problems right within your browser: - Analyst Builder - Data Lemur - Hacker Rank - Leet Code 3. SQL games – These games help you learn SQL while having fun: - SQL Murder Mystery - SQL Island - SQL Police Department 4. Practice sites – These sites provide you actual data to practice writing your own SQL code right in browser: - SQL-Practice(dot)com - Programiz I learned about the last site from Mary Knoeferl – a great follow on LinkedIn and TikTok! (Note: if you want to fully learn SQL to land your first data job, downloading MySQL or something similar is a good idea. But don’t let that stop you from getting started with the above resources!)

One of the most overlooked resources by students: MOOCs (Massive Open Online Courses) Let's say you're a junior marketing student who's developed an interest in entrepreneurship. You've got a great idea but need to build up your ENT knowledge to bring the idea to life. You might face one (or more) of these hurdles: • Your institution doesn't offer any ENT courses • You're looking for courses in a specific ENT niche • You can't fit any ENT courses in your graduation plan • You want to build knowledge in a low-stress setting • You can't afford to pay for additional courses MOOCs can help. Check out YouTube, Coursera, or any other site that offers MOOCs and you'll find individual lectures and even semester-long lecture series on ENT from: • Harvard • Wharton • Stanford • Berkeley • U of Virginia • Georgia Tech • U of Michigan Any many many others. Top quality lectures from some of the most insightful faculty members and industry professionals. All free to access. Students (and professionals alike) have unprecedented access to top quality self-education today. And the summer is a great time to start taking advantage of it. PS. Learning through MOOCs also gives you a great answer to interview questions like "How do you build your knowledge and skills outside of the classroom?"