BAN400

Textbook

Data Visualization: Exploring and Explaining with Data
Camm, J. D., Cochran, J. J., Fry, M. J., & Ohlmann, J. W. (2022). Data visualization: Exploring and explaining with data. Cengage.

• Chapter 1. Introduction. The chapter introduces the purpose of data visualization and its applicability across various industries. Additionally, the chapter covers data types.
• Chapter 2 furthers the content by sharing different chart types and how they can be applied to different data and situations.

Your course textbook can be accessed via MindTap in Module 1.

Below are additional learning resources that can provide you a broader understanding of the topics and concepts covered in Module 1. Reviewing the additional resources can help you deepen your understanding of the material, fill in knowledge gaps, and help you prepare for exams and assignments. The resources can also broaden your knowledge and provide alternative approaches to your learning.

The Big Picture : How to Use Data Visualization to Make Better Decisions-Faster
Wexler. (2021). The big picture: How to use data visualization to make better decisions-faster. McGraw-Hill. https://learning.oreilly.com/library/view/the-big-picture/9781260473537/

• Read Chapter 1: Why Numbers are Not Enough.

The Evolution of Data Visualization
Cabral, D. [Tedx Talks]. (2022, April 20). The Evolution of Data Visualization [Video]. YouTube. https://www.youtube.com/watch?time_continue=1&v=sOJet45-kcY&feature=emb_logo

The 25 Best Data Visualizations
Glivinska, A. (2021, August 18). The 25 Best Data Visualizations. Visme. Retrieved January 29, 2023, from https://visme.co/blog/best-data-visualizations/