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Unit Testing for Data Science in Python

Learn how to use pytest to write unit tests for your Data Science projects.

15.3K

total enrollments

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Description

In this course, you will :

  • Learn how to properly structure your test suite, how to execute any subset of tests with ease, and how to flag problematic tests so that your test suite remains green at all times.
  • Learn how to write sanity tests for data science models as well as how to test matplotlib plots.
  • Discover how to strike a balance between writing too many and too few tests.
  • introduced to and put into practise a revolutionary new programming methodology known as Test Driven Development (TDD).

Syllabus :

  • Unit testing basics
  • Intermediate unit testing
  • Test Organization and Execution
  • Testing Models, Plots and Much More

Course Features

Enrollment options

Standard

  • 7 - days Free Trial
  • Unlimited access to 350+ Courses
  • Unlimited access to 50+ Skill tracks
  • Practice Challenges
  • Certificate on completion
  • Peer Support
  • Live coding
  • Skill Assessments
  • 25ドル/month - Annual Plan (13% saving)
  • 29ドル/month - Monthly Plan

Premium

  • 7 - days Free Trial
  • Unlimited access to 350+ Courses
  • Unlimited access to 80+ Projects
  • Unlimited access to 50+ Skill tracks
  • Practice Challenges
  • Certificate on completion
  • Peer Support
  • Live coding
  • Skill Assessments
  • Priority Support
  • 33ドル/month - Annual Plan (32% saving)
  • 49ドル/month - Monthly Plan
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