Computing for Data Analysis

Massive Open Online Course
  • Overview
  • Course Content
  • Requirements & Materials

Computing for Data Analysis

Course Description

This course is your hands-on introduction to programming techniques relevant to data analysis and machine learning. Most of the programming exercises will be based on Python and SQL.

Course Content

The current course content is available on the edX registration page.

Requirements & Materials



You should have at least an undergraduate-level understanding in the following topics:

  • Programming proficiency in Python or similar language
  • Basic calculus
  • Probability and statistics
  • Linear algebra

Who Should Attend

This course is designed for those who are familiar with basic programming ideas at the level of the Python boot camp.

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What You Will Learn

  • Basic programming techniques of data analysis
  • Basic programming techniques of machine learning
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How You Will Benefit

  • Build the basic components of a data analysis pipeline "from scratch."
  • Learn elementary data processing algorithms, notions of program correctness and efficiency, and numerical methods for linear algebra and mathemtical optimization.
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    Taught by Experts in the Field
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The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

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