Thread by @DevMuzzammil

MIT is offering free online courses.

No Payment Needed.

12 FREE courses to become skilled in 2023 [ Thread ]:

1. Introduction to Computer Science and Programming Using Python.

What you'll learn:

• Data structures.
• Testing and debugging.
• Some simple algorithms.
• A Notion of computation.
• The Python programming language.

https://t.co/DjSgsQ0NeKedx.org/learn/computer…

2. Introduction to Computational Thinking and Data Science.

What you'll learn:

• Monte Carlo simulations.
• Plotting with the pylab package.
• Stochastic programming and statistical thinking.

https://t.co/GZ6XlMnpZoedx.org/learn/computer…

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.

https://t.co/5sMZ4StulNedx.org/learn/computer…

4. Supply Chain Analytics.

What you'll learn:

• Basic analytical methods.
• Statistics in supply chains.
• How to apply basic probability models.
• Formulating and solving optimization models.

https://t.co/eAhN7rRyXaedx.org/learn/business…

5. Understanding the World Through Data.

What you'll learn:

• Python Programming.
• Dependent and independent variables.
• Colab notebook programming environment.
• Coming up with relationships between data.

https://t.co/qiIK3ZbKjKedx.org/learn/computer…

6. Computational Thinking for Modeling and Simulation.

What you'll learn:

• Write programs to solve systems of equations.
• Select and implement methods for interpolation.
• Implement procedures for numerical differentiation.

https://t.co/gNwert8Sxhedx.org/learn/computer…

7. Becoming an Entrepreneur.

What you'll learn:

• Identifying business opportunities.
• Designing and testing your offering.
• Overcoming the top myths of entrepreneurship.
• Defining your goals as an entrepreneur and startup.

https://t.co/Ni3QWO5FL5edx.org/learn/business…

8. Entrepreneurship 101.

What you'll learn:

• Market Segmentation.
• Bottom-Up Market Analysis.
• Beachhead Market Analysis.
• Primary Customer Research.
• Profiling of Customer Persona.
• Development of End User Profile.

https://t.co/3ifY45RX9vedx.org/learn/business…

9. The Science of Uncertainty and Data.

What you'll learn:

• Inference methods.
• Probabilistic calculations.
• The basic structure and elements of probabilistic models.
• Random variables, their distributions, means, and variances.

https://t.co/ehjoUmKBNgedx.org/learn/data-ana…

10. Foundations of Modern Finance.

Data-driven insights from MIT professors offer a rigorous framework to understand financial markets.

https://t.co/xQrMGKRDiEedx.org/learn/economic…

11. 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.

https://t.co/nGD9WrZ6Wbedx.org/learn/business…

12. The Secret of Life.

Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics, and rational medicine.

https://t.co/JegqCsXDFnedx.org/learn/biology/…

Bonus FREE Gift for everyone:

My Ultimate GPT-4 Mastery Course:

• 80+ Chapters
• 700+ New GPT-4 Prompts
• 1000+ New AI tools

Here is the free link:

humblemuzzu.gumroad.com/l/gpt-4

That's a wrap ✨ Hope you enjoyed it.

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