Data Visualization with Tableau

ImportantThis course will be given online using Zoom video conference, and Moodle.There are no in-person classes.


  • No programming is required for this course. Required software and tools will be provided.
  • Windows / MAC Laptop with at least 4GB RAM and an internet connection of at least 25 Mbps; Headset with microphone and webcam.
  • Ability to communicate orally in English.
  • Ability to take a college/university level course (undergraduate studies or equivalent work experience is ideal).


This course provides an introduction and hands-on experience in data visualization, visual analytics, and visual data storytelling. It introduces students to design principles for creating meaningful displays of quantitative and qualitative data to facilitate managerial decision-making in the field of business analytics. It uses Tableau as the main tool for data visualization. A final project might be required. In the first part of the class the instructor will deliver a live theorical and practical demonstration followed by questions from students; in the second part of the class, students will work on a specific assignment.

Topics Covered

  • Data Visualization Foundations (3 hrs.)
  • Basic Charts in Tableau (10 hrs.)
  • Visualization and Dashboards Best Practices (3 hrs.)
  • Creating Visualizations & Dashboards in Tableau (10 hrs.)
  • Group or Individual Project Coaching and Presentation (4 hrs.)

By the end of this course, students will be able to:

  • Apply principles of data visualization and visual storytelling to create visualizations and dashboards in Tableau.
  • Represent data with different visualizations, including cross tabs, maps, heat maps, bar charts, line charts and scatter plots following best practices.
  • Create visualizations and dashboards in Tableau using customs calculations, parameters, and user controls.
  • Cluster data, forecast variables, examine trends, and establish the relationship between variables using correlation analysis.
  • Communicate key findings to a non-technical audience.

Course Price: $575.00

Not offered this semester.

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Last Modified: January 30, 2023