Data Science Visualization

1 Learning Objectives

• Data visualization principles to better communicate data-driven findings
• How to use ggplot2 to create custom plots
• The weaknesses of several widely used plots and why you should avoid them

1.1 Course Overview

1.1.1 Section 1: Introduction to Data Visualization and Distributions

You will get started with data visualization and distributions in R.

1.1.2 Section 2: Introduction to ggplot2

You will learn how to use ggplot2 to create plots.

1.1.3 Section 3: Summarizing with dplyr

You will learn how to summarize data using dplyr.

1.1.4 Section 4: Gapminder

You will see examples of ggplot2 and dplyr in action with the Gapminder dataset.

1.1.5 Section 5: Data Visualization Principles

You will learn general principles to guide you in developing effective data visualizations.