See also software-specific courses that cover data visualization (e.g., R, Python, Tableau, Excel).
Free to you
Data Visualization (University of Illinois) through Coursera.- free to audit
Information Visualization (Indiana University)
LinkedIn Learning offers several tutorials and courses on Data Visualization.
- Picking the Right Chart for Your Data (1.3hrs Beginner)
- Data Visualization: Best Practices (1.25hrs, Beginner)
- Learning Data Visualization (3.75 hrs, Beginner)
- Data Visualization: Storytelling (1.5hrs, Intermediate)
- Data Visualization for Data Analysts (1.5 hrs, Beginner) - already familiar with data analysis
- Learning Data Science: Tell Stories With Data (1.3hrs, Appropriate for All)
- Data Visualization Tips and Tricks (2.24hrs, Intermediate)
- See also videos for specific software, like Tableau, Excel, R, and Python.
Data + Design: A Simple Introduction to Preparing and Visualizing Information by Trina Chiasson, Dyanna Gregory, et al.
Trina Chiasson, Dyanna Gregory and Over 50 people worked hard over the course of many months to create this book, which we’re delighted to offer as a free resource. If you do use or build upon this work, make sure to give credit to the contributors who made it happen by including a link to infoactive.co/data-design.
This book is licensed under Creative Commons, BY-NC-SA. We would love for you to build upon, remix, and improve upon this work for non-commercial projects.
Call Number: Available
ONLINE CC-BY-NC-SA
Fundamentals of Data Visualization by Claus Wilke
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book's visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
ISBN: 9781492031086
Publication Date: 2019-05-14