Overview

Google, IBM & Meta Certificates – 40% Off

One Coursera Plus subscription covers most Professional Certificates on Coursera.

Data is powerful—only if you can see the story it tells. This Tableau course will take you from raw data to spectacular visuals and dashboards that make an impact. You'll start by understanding the essentials of integrating data sources, working with data types, joins, relationships, and blending. Then, by using filters, sets, parameters, and calculations, you can refine and analyze your data. Through immersive demos, you'll see how Tableau brings insights to life through chart types, level of detail expressions, mapping, forecasting, and dashboard design. Discover how to create interactive dashboards using actions, story points, and navigation. You'll also learn how to connect Tableau to third-party systems and R to increase analytical capabilities. From corporate intelligence to forecasting, this course will equip you for real-world data storytelling. Ideal for analysts, business intelligence professionals, and anybody who works with data, this course teaches you how to translate complex datasets into meaningful insights. Ready to make data-driven decisions? Enroll now to bring your insights to life using Tableau.

Syllabus

Introduction to Tableau and Data Connection
- This module covers the fundamentals of Tableau, data connections, relationships, joins, and data blending. By the end of this module, learners will be able to connect and manage data effectively using Tableau.
Advanced Tableau Techniques
- This module covers advanced Tableau techniques including filters, sets, calculated fields, ranking, expressions, and Level of Detail expressions. By the end of this module, learners will be able to perform deeper analysis and create more flexible data insights.
Understanding Tableau Parameters
- This module covers Tableau parameters and their applications with filters, sets, bins, and calculated fields. By the end of this module, learners will be able to use parameters to create dynamic and interactive visualizations.
Exploring Charting and Visualization
- This module covers Tableau chart types, the Marks Shelf, Marks Cards, and advanced visualization techniques. By the end of this module, learners will be able to select and customize appropriate visualizations to communicate data insights effectively.
Geographic Visualization and Forecasting
- This module covers geographic mapping, forecasting, cluster analysis, and advanced analytical features in Tableau. By the end of this module, learners will be able to analyze geographic and time-based data and uncover meaningful trends and patterns.
Tableau Dashboard Design and Interactivity
- This module covers dashboard layouts, containers, story points, interactive actions, navigation, and device optimization. By the end of this module, learners will be able to design interactive and user-friendly Tableau dashboards for effective data analysis.
Advanced Tableau Integration and Problem Solving
- This module covers third-party integration, R integration, code integration, and practical Tableau problem-solving. By the end of this module, learners will be able to apply advanced Tableau techniques to solve complex data visualization challenges and build interactive dashboards.