Name: Descriptive Statistics
Price: -1 USD

Descriptive Statistics

Overview

Learn how to describe data in terms of data types, measures of center, measures of spread, shape, and outliers. These essential skills in descriptive statistics provide the foundation for more advanced statistical techniques that are used for data science, data analysis, and machine learning.

Syllabus

Introduction

In this lesson, we kick off the course with an introduction to data and descriptive statistics.

Data Types

In this lesson, we establish key distinctions between different types of data, including quantitative, categorical, ordinal, nominal, continuous, and discrete data types.

Measures of Center

In this lesson, we get into the calculations and use cases for three popular measures of center: mean, median, and mode.

Notation

In this lesson, we demystify the mathematical notation used for random variables, observed values, and aggregations.

Measures of Spread

In this lesson, we get into the calculations and use cases for several popular measures of spread, including five-number summaries, standard deviation, and variance.

Shape and Outliers

In this lesson, we cover two additional forms of descriptive statistics for data distributions: shape and outliers.

Describe Health and Sleep Quality Data

Describe data related to health and sleep quality. Using the software of your choice to calculate descriptive statistics about a dataset, you’ll report your findings in a slide deck presentation.