Course · Intermediate

Hypothesis Testing in Python

In this course, you'll learn advanced statistical concepts like significance testing and multi-category chi-square testing, which will help you perform more powerful and robust data analysis.

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  • Intermediate friendly
  • 3 hrs
  • 3 lessons
  • 1 project
  • Premium

Course overview

Practice hypothesis testing in Python by running chi-square and permutation tests to evaluate real-world outcomes and statistical significance.

What's inside

3 lessons · 1 project

  • 01
    Chi-Squared Tests

    Learn how to apply the chi-squared test to determine if observed data follows an expected pattern.

    51 min
  • 02
    Multi-Category Chi-Squared Tests

    Learn how to apply the chi-squared test across more than one category at a time.

    28 min
  • 03
    Significance Testing

    Learn about hypothesis testing and statistical significance.

    49 min
  • 04
    Guided Project: Winning Jeopardy Project

    For this project, you'll take on the role of a Jeopardy contestant looking for any edge to win. You'll work with a dataset of 20,000 Jeopardy questions using Python and pandas to analyze question and answer text and uncover helpful patterns.

    48 min

Part of these paths

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