Hypothesis Testing in Python

Go to class

Write Review

Free Online Course: Hypothesis Testing in Python provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Hypothesis Testing in Python is taught by James Chapman.

via DataCamp

4 hours worth of material

Self Paced

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Hypothesis testing lets you answer questions about your datasets in a statistically rigorous way. In this course, you'll grow your Python analytical skills as you learn how and when to use common tests like t-tests, proportion tests, and chi-square tests. Working with real-world data, including Stack Overflow user feedback and supply-chain data for medical supply shipments, you'll gain a deep understanding of how these tests work and the key assumptions that underpin them. You'll also discover how non-parametric tests can be used to go beyond the limitations of traditional hypothesis tests.

Syllabus

Introduction to Hypothesis Testing
-How does hypothesis testing work and what problems can it solve? To find out, you’ll walk through the workflow for a one sample proportion test. In doing so, you'll encounter important concepts like z-scores, p-values, and false negative and false positive errors.

Two-Sample and ANOVA Tests
-In this chapter, you’ll learn how to test for differences in means between two groups using t-tests and extend this to more than two groups using ANOVA and pairwise t-tests.

Proportion Tests
-Now it’s time to test for differences in proportions between two groups using proportion tests. Through hands-on exercises, you’ll extend your proportion tests to more than two groups with chi-square independence tests, and return to the one sample case with chi-square goodness of fit tests.

Non-Parametric Tests
-Finally, it’s time to learn about the assumptions made by parametric hypothesis tests, and see how non-parametric tests can be used when those assumptions aren't met.

0, based on 0 Course votes at GetYourEducation

Start your review of Hypothesis Testing in Python

Add review ->

Language

English
Certificate
Certificate Available
Date of Start
30th October, 2022
Price
Free Trial Available
Provider
DataCamp
Taught By

James Chapman
Share this course