Introduction to Computational Thinking and Data Science

Abstract blue, red, yellow, and purple block clusters.

The image above represents the clusters found by a clustering algorithm. The arms of each color equal the distance from the center to each point in the cluster. (Courtesy of Ana Bell.)

Instructor(s)

MIT Course Number

6.0002

As Taught In

Fall 2016

Level

Undergraduate

Cite This Course

Course Description

Course Features

Course Description

6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It 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.

Related Content

Eric Grimson, John Guttag, and Ana Bell. 6.0002 Introduction to Computational Thinking and Data Science. Fall 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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