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.
Overview
Syllabus
- Lesson 1: Understanding and Implementing Hypothesis Testing and T-tests with Python
- Lesson 2: Mastering the Mann-Whitney U Test: Theory and Practice with Python
- Lesson 3: Understanding and Implementing Analysis of Variance (ANOVA) with Python
- Lesson 4: Cracking the Code with Chi-Square: Candy Colors and Neighborhoods in Python
