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.
Approx. 2 months
Included in Product
Rich Learning Content
Taught by Industry Pros
What You Will Learn
- Estimate population parameters from sample statistics using confidence intervals.
- Estimate the effect of a treatment.
- How to determine if a treatment has changed the value of a population parameter.
- How to test the effect of a treatment.
- Compare the difference in means for two groups when there are small sample sizes.
- Learn how to describe and test the strength of a relationship between two variables.
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