About this Course

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
beginner
Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

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Free Course

Intro to Inferential Statistics

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

Ronald Rogers

Ronald Rogers

Instructor

Katie Kormanik

Katie Kormanik

Instructor

Sean Laraway

Sean Laraway

Instructor

What You Will Learn

Prerequisites and Requirements

This course assumes basic understanding of Descriptive Statistics, specifically the following:

  • calculating the mean and standard deviation of a data set
  • central limit theorem
  • interpreting probability and probability distributions
  • normal distributions and sampling distributions
  • normalizing observations

If you need a refresher, check out our Descriptive Statistics course! The course also utilizes Google Spreadsheets as a tool.

See theTechnology Requirements for using Udacity.

Why Take This Course

This course will guide you through some of the basic tools of inferential statistics.



This course will cover:

  • estimating parameters of a population using sample statistics
  • hypothesis testing and confidence intervals
  • t-tests and ANOVA
  • correlation and regression
  • chi-squared test
What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals