1. Introduction to Computer Science and Programming Using Python. What you'll learn: • Skip What you'll learn • A Notion of computation • The Python programming language • Some simple algorithms • Testing and debugging • Data structures 🔗

MIT is offering free online courses. No Payment Needed. Here are 12 FREE courses to become skilled in 2023 [ Thread ]:

2. Introduction to Computational Thinking and Data Science. What you'll learn: → Skip What you'll learn → Plotting with the pylab package → Stochastic programming and statistical thinking → Monte Carlo simulations 🔗

3. Machine Learning with Python. What you'll learn: → ML problem principles → Implement & analyze models. → Choosing suitable models for different apps. → ML project implementation: Training, validation, tuning, and feature engineering. 🔗

4. Supply Chain Analytics. What you'll learn ✔ Skip What you'll learn ✔ Basic analytical methods ✔ How to apply basic probability models ✔ Statistics in supply chains ✔ Formulating and solving optimization models 🔗

5. Understanding the World Through Data. What you'll learn: Skip What you'll learn ☑ Python programming ☑ Colab notebook programming environment ☑ Dependent and independent variables ☑ Coming up with relationships between data And more! 🔗

6. Computational Thinking for Modeling and Simulation. What you'll learn: ✔ Select and implement methods for interpolation. ✔ Implement procedures for numerical differentiation ✔ Write programs to solve systems of equations. And more. 🔗

7. Becoming an Entrepreneur. What you'll learn: ☑ Overcoming the top myths of entrepreneurship ☑ Defining your goals as an entrepreneur and startup ☑ Identifying business opportunities ☑ Designing and testing your offering 🔗

8. Entrepreneurship 101 What you'll learn ✔ Primary Customer Research ✔ Bottom-Up Market Analysis ✔ Market Segmentation ✔ Beachhead Market Analysis ✔ Development of End User Profile ✔ Profiling of Customer Persona 🔗

9. Foundations of Modern Finance Data-driven insights from MIT professors offer a rigorous framework to understand financial markets. 🔗

10. Entrepreneurship 103: Show Me The Money Your startup needs to get cash positive as soon as possible – and ultimately, profitable. This is how you get there. 🔗

11. The Secret of Life. Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics, and rational medicine. 🔗

12. The Science of Uncertainty and Data. What you'll learn ✔ The basic structure and elements of probabilistic models ✔ Random variables, their distributions, means, and variances ✔ Probabilistic calculations ✔ Inference methods 🔗

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