Hypothesis Testing

Course

Hypothesis testing is one of the most important topics in all of statistics because it tells us whether our conclusions are statistically significant. In this course, you will learn about the fundamental role statistics plays in hypothesis testing as well as how to implement statistical concepts in Python.

Intermediate
4 weeks
Last Updated January 14, 2025

Skills you'll learn:

Normal distributionExperiment design

Prerequisites:

Basic PythonBasic descriptive statisticsBasic probability

Intermediate

4 weeks

Last Updated January 14, 2025

Skills you'll learn:

Normal distribution • Experiment design • Statistical sampling • Pandas

Prerequisites:

Basic Python • Basic descriptive statistics • Basic probability

Course Lessons

Lesson 1

Introduction

In this lesson, we begin the course by meeting the instructors and giving a quick introduction to experimentation.

Lesson 2

Normal Distribution Theory

In this lesson, you'll learn the mathematics behind moving from a coin flip to a normal distribution.

Lesson 3

Sampling Distributions and the Central Limit Theorem

In this lesson, you'll learn all about the underpinning of confidence intervals and hypothesis testing - sampling distributions.

Lesson 4

Confidence Intervals

In this lesson, you'll learn how to use sampling distributions and bootstrapping to create a confidence interval for any parameter of interest.

Lesson 5

Hypothesis Testing

In this lesson, you'll learn the necessary skills to create and analyze the results of hypothesis testing.

Lesson 6

A/B Tests

In this lesson, you'll work through a case study of how A/B testing works in the context of website metrics for an online education company.

Lesson 7 • Project

Analyze A/B Test Results

You will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through to help the company understand if they should implement the new page design.

Taught By The Best

Sebastian Thrun

Founder and Executive Chairman, Udacity

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

Josh Bernhard

Staff Data Scientist

Josh has been sharing his passion for data for over a decade. He's used data science for work ranging from cancer research to process automation. He recently has found a passion for solving data science problems within marketplace companies.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.