At Daily Deal Radar, we’re always looking for the best value. This isn’t a deal on a gadget, it’s a learning deal on your future. We’ve compiled the ultimate, 100% free career learning roadmap using top-tier resources from top universities and industry leaders like Harvard, IBM, MIT… Think of this as your personal growth library, structured to take you from a curious beginner to a job-ready professional in Python, AI, and Data Analytics.

No subscriptions. No paywalls. Just a clear path to in-demand skills.

Python Programming

1. Harvard CS50’s Introduction to Computer Science — Foundational coding, problem-solving, and algorithm design.
2. Python for Everybody (University of Michigan) — Python basics, data structures, web scraping, and databases.
3. Google IT Automation with Python — Automating tasks and using Python in IT workflows.
4. Automate the Boring Stuff with Python — Practical scripting for everyday productivity.
5. Intro to Programming with Python (Udacity) — Beginner-friendly programming foundation.
6. Intermediate Python (freeCodeCamp) — Builds on basics with functions, classes, and modules.
7. Practical Python Programming (David Beazley) — Hands-on intermediate topics for real projects.

Data Analysis & Visualization

8. Intro to Data Analysis (Udacity) — pandas, NumPy, and data cleaning basics.
9. Data Analysis with Python (freeCodeCamp) — Exploratory analysis with pandas, NumPy, Matplotlib.
10. IBM Data Analyst Professional Certificate — SQL, Excel, Python, dashboards.
11. Google Advanced Data Analytics Professional Certificate — Predictive modeling, statistics, data ethics.
12. Microsoft Data Science for Beginners — 20-lesson overview of the data science workflow.
13. Statistics and Data Science (MIT MicroMasters) — Graduate-level stats, probability, and inference.
14. Excel to MySQL: Analytics Techniques for Business (Duke) — Data-driven business decision-making.

Artificial Intelligence & Machine Learning

15. Machine Learning (Andrew Ng) — Classic Stanford ML course.
16. Deep Learning Specialization (Andrew Ng) — Neural networks, CNNs, RNNs.
17. Practical Deep Learning for Coders (fast.ai) — State-of-the-art models, code-first.
18. Machine Learning with Python (freeCodeCamp) — Scikit-learn, neural nets, reinforcement learning.
19. AI Programming with Python (Udacity) — PyTorch, NumPy, pandas for AI development.
20. Advanced Machine Learning Specialization (HSE) — Cutting-edge algorithms and competitions.
21. MIT OpenCourseWare: Artificial Intelligence — Core AI theory and techniques.

Data Science & Big Data

22. Applied Data Science with Python (University of Michigan) — Analysis, visualization, machine learning.
23. Big Data Specialization (UC San Diego) — Hadoop, Spark, NoSQL, data pipelines.
24. Data Engineering Zoomcamp (DataTalksClub) — Real-world data pipeline engineering.
25. Data Science Bootcamp (Springboard Free Prep) — Prep for data careers.
26. Open Source Data Science Masters — A full curriculum from multiple top resources.

Tools & Specialized Skills

27. SQL for Data Science (UC Davis) — Querying, joins, aggregations.
28. Version Control with Git (Atlassian) — Git workflows for data and dev teams.
29. Docker Essentials (IBM) — Containerization basics for ML/analytics workflows.
30. Linux Command Line Basics — Navigating servers and cloud compute environments.
31. Kubernetes Basics (CNCF) — Scaling AI and data services.
32. Cloud Skills: Google Cloud Training — Hands-on cloud analytics and ML workflows.

Business Analytics & Decision Science

33. Wharton Business Analytics Specialization — Using data for strategic decisions.
34. Analytics for Decision Making (University of Minnesota) — Applied decision frameworks.
35. Data-Driven Decision Making (PwC) — Analytics in consulting contexts.

Special Topics & Emerging Trends

36. Generative AI for Beginners (Google) — Fundamentals of LLMs and prompt design.
37. Ethics of AI and Big Data (Linux Foundation) — Responsible AI frameworks.
38. Reinforcement Learning Specialization (University of Alberta) — Agent-based decision-making.
39. Computer Vision with PyTorch (freeCodeCamp) — CNNs and image modeling.
40. Natural Language Processing with Python (DataCamp Free Week) — Text mining, embeddings, transformers.

University-Level Open Resources

41. MIT Statistics and Probability — Statistical theory essentials.
42. Stanford CS229: Machine Learning — Advanced theoretical ML.
43. UC Berkeley Data 8 — Foundations of data science with Python.
44. Oxford Deep Learning (YouTube) — Modern deep learning architectures explained.
45. CMU Introduction to Machine Learning — Core academic ML foundation.

Career & Portfolio Boosters

46. Kaggle Learn Micro-Courses — Short, practical, challenge-based lessons.
47. LeetCode SQL Practice — Interview-focused data querying skills.
48. Project-Based Learning (Data Science) — Curated project guides for portfolio building.
49. Build Your Data Portfolio (DataCamp) — Real datasets, interactive project templates.
50. LinkedIn Learning Free Month — Temporary premium access for data & AI courses.

At Daily Deal Radar, we’re all about finding value, and this is arguably the best deal we’ve ever seen. This isn’t just a list of links; it’s a free pass to a new career, a higher salary, and a future of endless possibilities. We believe that knowledge should be accessible, not locked behind a paywall. So grab this masterlist, start your journey, and secure a deal on your future that will never expire.