Hypothesis Testing with Python

Intro to Data Analysis with PythonHypothesis Testing with Python

Embark on your journey to mastering Hypothesis Testing with Python in this comprehensive course. It thoroughly covers how to conduct a variety of statistical tests, analyze and interpret results, enabling you to make data-driven decisions and inferences.

Lessons and practices

Lesson 1: Understanding and Implementing Hypothesis Testing and T-tests with Python

Evaluating Impact on Meeting Hours with T-Test

Alter Sample Mean in Hypothesis Testing

Performing the Two-Sample T-test on Working Hours Data

Adding the Test: T-Statistic and P-Value Exploration

Lesson 2: Mastering the Mann-Whitney U Test: Theory and Practice with Python

Time Analysis with Mann-Whitney U Test

Enhancing Output with Conditional Messaging

Evaluate Web Layouts with Mann-Whitney U Test

Web Analytics: Uncovering User Behavior with the Mann-Whitney U Test

Lesson 3: Understanding and Implementing Analysis of Variance (ANOVA) with Python