In this course, learners will analyze and apply essential design principles to Tableau visualizations. Therefore, understanding the tools within Tableau and having some knowledge of the fundamental concepts of data visualization are helpful. Learners will:

1. define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what is needed in a visualization;
2. assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals;
3. apply effective best practice design principles to data visualizations and be able to illustrate examples of strategic use of contrast to highlight important elements;
4. evaluate pre-attentive attributes and why they are important in visualizations;
5. examine the importance of using the "right" amount of color and in the right place and be able to apply design principles to de-clutter your data visualization.

Learning outcomes are:

1. examining and improving an ineffective visualization;
2. applying visualization best practices;
3. creating and designing visualizations that work best for the target audience.

Learners will gain skills in data analysis, Tableau Software, data visualization (DataViz).