Data Visualization in Tableau Certification Course

Data
Data

Full Course Description

Learn Tableau for visual analytics. Connect to various datasets, create visuals and dashboards, and tell impactful stories using data.

Course Overview

  • Course Duration:4 Months (Including Lab Work, Internship, and real-world assignment).
  • Modes of Training: Online Classes/Offline Training (at selected centers).
  • Projects:Available – Real-world Tableau dashboard development projects.

Data Visualization in Tableau Certification Course

  • Learn Tableau interface, data connection, and data cleaning techniques.
  • Create interactive dashboards, charts, and stories for business insights.
  • Understand data blending, joins, filters, and calculated fields.
  • Perform real-time data visualization using Tableau Prep and Server.
  • Publish and share dashboards for team collaboration and presentations.
  • Prepare for the Tableau Desktop Specialist / Analyst credential preparation assessment.

Overview of Data Visualization in Tableau Certification Course

The Data Visualization in Tableau Course credential preparation is designed for analysts, business professionals, and data enthusiasts who want to master data storytelling and visualization techniques. The course covers everything from connecting datasets to creating dynamic dashboards and reports, providing you with the specialized analytical expertise needed to advance your career.

Through hands-on projects, you'll visualize business KPIs, trends, and predictive insights using Tableau's advanced tools. By the end of the program, you'll be ready to earn your Tableau credential preparation and become proficient in creating professional, interactive dashboards for data-driven decision-making.

1. Introduction to Tableau

  • Overview of Tableau Tools.
  • Installing Tableau Desktop.
  • Understanding Tableau Workspace.

2. Connecting to Data

  • Data sources and extract creation.
  • Cleaning and transforming data.

3. Building Visualizations

  • Sorting and filtering.
  • Using calculated fields.

4. Dashboard Creation

  • Designing interactive dashboards.
  • Story points and layout techniques.
  • Dashboard actions and filters.
  • Level of detail (LOD) expressions.
  • Forecasting and trend lines.

6. Tableau Online and Server

  • Publishing dashboards.
  • User management and permissions.
  • Collaboration and sharing.