MIT Free Online Courses: 7 Paths to Digital Literacy – No Textbooks, No Fees

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MIT Free Online Courses: 7 Paths to Digital Literacy – No Textbooks, No Fees

Explore a world of knowledge with MIT University’s latest initiative – free online courses! Dive into seven enriching subjects without the burden of textbooks or fees. Seize the opportunity to learn from top-notch professors and enhance your skills at your own pace. Don’t miss out on this incredible chance to expand your horizons!

 

1. Introduction to Computer Science and Programming Using Python.

Topics:
• A Notion of computation
• Python programming language
• Some simple algorithms
• Testing & debugging
• Informal introduction to algorithmic complexity
• Data Structures.

Enroll Here

 

2. Machine Learning with Python

Topics:

– ML problem principles
– Implement & analyze models
– Choosing suitable models for different apps
– ML project implementation: Training, validation, tuning, and feature engineering

Enroll Here

 

3. Introduction to Computational Thinking and Data Science.

Topics:

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

Enroll Here

 

 

4. Supply Chain Analytics

Topics:

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

Enroll Here 

 

5. 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
And more:

Enroll Here 

 

6. Becoming an Entrepreneur

Topics:

• Overcoming the top myths of entrepreneurship
• Defining your goals as an entrepreneur and startup
• Identifying business opportunities
• Performing market research and choosing your target customer and more

Enroll Here

 

7. Computational Thinking for Modeling and Simulation

– Interpolation methods and their impact on model convergence
– Numerical integration techniques
– Procedures for numerical differentiation
– Solving linear and nonlinear equations

Enroll Here

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