MIT-6.00.2x-Introduction-to-Computational-Thinking-and-Data-Science

Python

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

Last updated Jun 17, 2026

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#computer-science #data-science #edx #mitx #mitx600

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Python 100.0%

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README

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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