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
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Free Course

Intro to Inferential Statistics

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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

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 the Technology 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 videos Learn by doing exercises Taught by industry professionals