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6.00.2x - Introduction to Computational Thinking and Data Science

Provided by MIT - Massachusetts Institute of Technology

Overview

This course is the second of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science both offered by MIT - Massachusetts Institute of Technology on edX platform.

This course cover:

  • Plotting with the pylab package
  • Stochastic programming and statistical thinking
  • Monte Carlo simulations
  • Advanced programming in Python 3
  • Knapsack problem, Graphs and graph optimization
  • Dynamic programming
  • Plotting with the pylab package
  • Random walks
  • Probability, Distributions
  • Curve fitting
  • Statistical fallacies

Certificate of Completion

You can see the Certificate of Completion and other certificates in my Certificates Repo that contains all my certificates obtained through my journey as a self-made Data Science and better developer.


⚠️ Disclaimer ⚠️

Please, don't fork or copy this repository. This course is very easy and you can complete it with a minimal effort.

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6.00.2x - Introduction to Computational Thinking and Data Science from MIT on edX

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