94-821 Advanced Data Analytics with Tableau

6 units, Carnegie Mellon University

After successfully completing this course, students will have a basic understanding of how to solve problems using data analytics techniques in Tableau. This course will not go into mathematical details behind analytics techniques but rather their applications and how to leverage insights for decisionmakers from them. Techniques such as forecasting, regression, clustering, and other models will be covered in this course. Aspects of AI, plugins, code integrations, and external connections with Tableau will be covered. This course will face students with real examples and realworld data, as an increasing number of organizations nowadays collect data to support their decisionmaking process. This course demands a quick pace, active participation, and intricate collaboration with your peers. Only officially enrolled students will receive credit, and attendance will not be permitted for anyone else.

Prerequisites: none listed

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