Course Introduction
This course, titled Tableau Data Visualization Ad Course, is a comprehensive program designed to help students master Tableau’s powerful data visualization capabilities. Throughout the course, students will learn to connect to data sources, create univariate, bivariate, and multivariate charts, design interactive dashboards, and apply best practices for reporting and sharing insights. It is tailored for analysts, business professionals, and anyone who wants to communicate data effectively through compelling visualizations.
Course Duration and Modules
- Overall Duration: Self-paced, designed to be completed in approximately 12 weeks.
- Total Learning Hours: 11 hours and 12 minutes of video content across 6 modules, with additional exercises and assignments.
- Weekly Commitment: Approximately 1–2 hours per week, including practice and assignments.
Course Modules & Video Titles
| Module | Video Lecture Title | Duration |
|---|---|---|
| 1 | Tableau Data Visualization Beginner | 1:56:50 |
| 2 | Tableau Data Visualization Intermediate | 1:42:01 |
| 3 | Tableau Data Visualization Advanced | 2:16:17 |
| 4 | Tableau Data Visualization Expert | 1:58:42 |
| 5 | Tableau Data Visualization Master | 1:32:08 |
| 6 | Tableau Data Visualization Professional | 1:47:19 |
Course Presenter
The course is presented by Learn Skills Daily, an organization with extensive expertise in Tableau and business intelligence. The instructor is known for a clear, hands-on teaching style that blends theory with practical exercises, allowing students to immediately apply skills to real-world scenarios.
Course Certificate
Upon successful completion, students will receive a Qalam Scholar Certificate, internationally recognized and verifiable via a barcode. This certificate strengthens professional credibility and supports career advancement in analytics, business intelligence, and data visualization roles worldwide.
Learning Objectives
By the end of this course, students will be able to:
- Connect Tableau to multiple data sources and prepare datasets for analysis.
- Create univariate, bivariate, and multivariate visualizations.
- Design interactive dashboards with filters, parameters, and actions.
- Calculate user-defined fields and customize visualizations for insights.
- Export and share dashboards and reports effectively with stakeholders.
- Apply best practices for summarizing, analyzing, and interpreting data visually.