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Introduction to Computational Thinking and Data Science 

  • Offered byMIT Professional Education

Introduction to Computational Thinking and Data Science
 at 
MIT Professional Education 
Overview

Duration

8 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Introduction to Computational Thinking and Data Science
 at 
MIT Professional Education 
Highlights

  • Earn a Certificate of completion from MIT on successful course completion
  • Instructors - Prof. Eric Grimson, Prof. John Guttag, & Dr. Ana Bell
  • Learn how computation plays a role in solving problems
Details Icon

Introduction to Computational Thinking and Data Science
 at 
MIT Professional Education 
Course details

Who should do this course?
  • The course is designed for students with little or no programming experience.
More about this course
  • The course aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.

Introduction to Computational Thinking and Data Science
 at 
MIT Professional Education 
Curriculum

Lecture 1: Introduction and Optimization Problems

Lecture 2: Optimization Problems

Lecture 3: Graph-theoretic Models

Lecture 4: Stochastic Thinking

Lecture 5: Random Walks

Lecture 6: Monte Carlo Simulation

Lecture 7: Confidence Intervals

Lecture 8: Sampling and Standard Error

Lecture 9: Understanding Experimental Data

Lecture 10: Understanding Experimental Data (cont.)

Lecture 11: Introduction to Machine Learning

Lecture 12: Clustering

Lecture 13: Classification

Lecture 14: Classification and Statistical Sins

Lecture 15: Statistical Sins and Wrap Up

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Introduction to Computational Thinking and Data Science
 at 
MIT Professional Education 

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