MIT University just released free online courses. No textbooks or fees required. Here are 10 courses you don't want to miss in 2025:
1. Introduction to Computer Science and Programming Using Python Topics: - Simple algorithms - Understanding computation - Data structures and beyond - Python programming essentials - Introduction to algorithmic complexity Link: edx.org/learn/computer…
2. Introduction to Computational Thinking and Data Science Topics: - Monte Carlo simulations - Plotting with pylab - Stochastic programming - Statistical thinking Link: edx.org/learn/computer…
3. Machine Learning with Python Topics: - Model Selection - ML Project Execution - Model Implementation & Analysis - Training, Validation, Tuning, Features Link: edx.org/learn/machine-…
4. The Science of Uncertainty and Data Topics: - Probabilistic Calculations - Basics of Probabilistic Models - Introduction to Inference Methods - Random Variables and Their Distributions Link: edx.org/learn/probabil…
5. Startup Success: How to Launch a Technology Company in 6 Steps Topics: - Assess product ideas - Understand the startup team - Prepare and evaluate strategies and more Link: edx.org/learn/computer…
6. Data Analysis: Statistical Modeling A hands-on introduction to the interplay between statistics and computation for real data analysis. Topics: - Learn models - Form hypotheses - Perform statistical analysis on real data Link: edx.org/learn/data-ana…
7. Becoming an Entrepreneur Topics: - Identifying lucrative business opportunities - Crafting and refining your product - Debunking common entrepreneurial myths - Setting clear, actionable startup goals Link: edx.org/learn/entrepre…
8. Supply Chain Analytics Topics: - Basic analytical methods - How to apply basic probability models - Statistics in supply chains - Formulating and solving optimization models Link: edx.org/learn/supply-c…
9. The Secret of Life Topics: - How to describe the building blocks of life and their interactions in biology - How to predict genotypes and phenotypes from genetic data Link: edx.org/learn/biology/…
10. Understanding the World Through Data Topics: - Python programming and the Colab notebook programming environment - Dependent and independent variables - Relationships between data using linear and polynomial regression models Link: edx.org/learn/data-sci…
Thanks for reading. 1. Hope this helped. 2. Follow @Ronycoder for more. 3. Like/Repost the quote below if you can. x.com/Ronycoder/stat…
That's awesome! Free education can really open doors for so many people. Can't wait to check them out!
Did you read about these courses before doing this thread?…almost all of them have either been enrolled already and full or not free
Last year I watched a lecture series on quantum mechanics (Quantum Physics 3 from 2018 to be exact) by Prof. Barton Zwiebach, very instructive!
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