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 Course
  • Rich Learning Content

  • Interactive Quizzes

  • Taught by Industry Pros

  • Self-Paced Learning

  • Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Data Analyst Nanodegree Program.

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

Lesson 1

Estimation

  • Estimate population parameters from sample statistics using confidence intervals.
  • Estimate the effect of a treatment.
Lesson 1

Estimation

  • Estimate population parameters from sample statistics using confidence intervals.
  • Estimate the effect of a treatment.
Lesson 2

Hypothesis Testing

  • How to determine if a treatment has changed the value of a population parameter.
Lesson 2

Hypothesis Testing

  • How to determine if a treatment has changed the value of a population parameter.
Lesson 3

t-tests

  • How to test the effect of a treatment.
  • Compare the difference in means for two groups when there are small sample sizes.
Lesson 3

t-tests

  • How to test the effect of a treatment.
  • Compare the difference in means for two groups when there are small sample sizes.
Lesson 4

ANOVA

  • Learn how to test whether or not there are differences between three or more groups.
Lesson 4

ANOVA

  • Learn how to test whether or not there are differences between three or more groups.
Lesson 5

Correlation

  • Learn how to describe and test the strength of a relationship between two variables.
Lesson 5

Correlation

  • Learn how to describe and test the strength of a relationship between two variables.
Lesson 6

Regression

  • How changes in one variable are related to changes in a second variable.
Lesson 6

Regression

  • How changes in one variable are related to changes in a second variable.
Lesson 7

Chi-squared Tests

  • Learn how to compare and test frequencies for categorical data.
Lesson 7

Chi-squared Tests

  • Learn how to compare and test frequencies for categorical data.

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
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