DDS-8500 v1

Kirk A. (2020) Data Visualization: a successful design process. O’Reilly

• Read Chapter 1: The Context of Data Visualization
• Read Chapter 2: Setting the Purpose and Identifying Key Factors

Linoff, G. S. (2015). Data analysis using sql and excel. John Wiley & Sons, Incorporated.

• Read Chapter 2. This excerpt demonstrates the use of SQL language and Excel for data analysis and exploration.

NU Commons (n.d.). Dissertation Center.

Black K. (2011). Business statistics: contemporary decision making. John Wiley.

• Read Unit I: Introduction (Chapters 1, 2, 3)

Galvan J.E. (2020). Data Science and Machine Learning with R from A-Z Course [Video]. O’Reilly.
Watch the following sections from Chapter 2: Getting Started With R:

• Getting Started with R
• R Basics
• Working with Files
• R Studio

The Data Visualisation Catalogue. (2023). Datavizcatalogue.com. https://datavizcatalogue.com/
A website that provides an explanation for each of the available graphs and when we should use them.

Chen, C., Härdle, W., & Unwin, A. (2008). Handbook of data visualization. Springer-Verla.

• Read Chapter 2, pages 58-70, describes the use of graphics and essential elements of data visualization to represent data.

Yukari, S., Yutaka, T., Nobuhide, T., & Michiya, M. (2015). Visually do statistics: Visual materials of covariance in regressive analysis. Visual Information Communication and Interaction, 146-147.
This article provides an overview of visual materials used by educators to explain regressive analysis.

Hopcraft, F. (2019). Presenting technical data to a non-technical audience.

• Read Chapter 6, pages 59 – 69, describes the strategies for presenting technical data using PowerPoint and similar programs.

Cole Nussbaumer, K. (2019). Storytelling with data. O’Reilly.

• Read Chapter 2: Choose an effective visual
• Read Chapter 4: Focus Attention
• Read Chapter 6: Tell a story

Galvan J.E. (2020). Data Science and Machine Learning with R from A-Z Course [Video]. O’Reilly.
Watch the following sections from Chapter 2: Getting Started With R:

• Getting Started with R
• R Basics
• Working with Files
• R Studio