Data Academy Course

Intro to Statistics

About This Course

In this two-part introductory statistics course, participants will learn the building blocks necessary to understand the data they work with and conduct more advanced analyses in the future. Topics covered in the first session include: statistical terminology, introduction to sampling, summarizing data through central tendency measures, understanding data variability measures, and examining distributions of data.

The second session will build on this content, with topics covering: introduction to probabilities, how to tell if statistics are meaningfully different from one-another, and how to make inferences about populations using samples.

It is expected that learners commit to attending both sessions.

What You’ll Learn In This Course

This two-part course will cover the following topics:

Part I

  • Basic Terminology
  • Types of Data
  • Introduction to Sampling
  • Central Tendency Measures
  • Measures of Variability
  • Distribution Models

Part II

  • Probabilities
  • Identifying Meaningful Differences
  • Making Inferences About Populations from Samples

Prerequisites

There are no prerequisites for this course, but a basic understanding of algebra will be helpful.