Visual Analytics with Tableau

In this module, you will explore the topic of charting in Tableau. By now you should already be well versed in how to change colors, shapes, and sizes of charts, so we are going to practice and demonstrate that skill more. You will be able to explain what the Tableau Tooltip does and when to use it. You will be able to discuss the various guidelines for choosing the right chart for your data. You will also create a chart using Tableau.

This module highlights the important topic of dates within Tableau. You will be able to differentiate between discrete and continuous dates and when to use each. You will be able to use date hierarchies and use the date field to better customize your charts. You will be able to convert between discrete and continuous dates and know when and why you want to switch from one to the other. You will create dates using calculated fields.

In this module, you will focus on table calculations. You will be able to create new calculated fields to allow you to compare fields, apply aggregations, and more. You will be able use quick table calculations and create new calculated fields. You will be able to customize them and apply filters and parameters to your table calculations.

Take your Tableau skills further by learning how to summarize, explore, and predict data trends. This module covers key features like groups, aggregations, and text tables for summarizing data, as well as visual tools like histograms, trend lines, and reference lines. You'll also dive into advanced techniques such as clustering and forecasting to uncover patterns and make data-driven predictions. By the end, you'll know how to turn complex data into clear, actionable insights.