MIT University offers free online courses. No fees are required. Here are 12 courses you don't want to miss
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.
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.
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:
• Basic analytical methods.
• Statistics in supply chains.
• How to apply basic probability models.
• Formulating and solving optimization models.
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.
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.
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.
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.
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.
10. Foundations of Modern Finance.
Data-driven insights from MIT professors offer a rigorous framework to understand financial markets.
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.
12. The Secret of Life.
Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics, and rational medicine.
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