Free Course
Intro to Inferential Statistics
Making Predictions from Data
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
Course Leads
Ronald Rogers
Instructor
Katie Kormanik
Instructor
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 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