What You Need to Know Before
You Start

Starts 6 June 2025 16:32

Ends 6 June 2025

00 days
00 hours
00 minutes
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Master Tableau 2025: Complete Guide to Data Visualization

Develop Advanced Visualizations, Real-World Projects, and Interactive Dashboards to Become a Tableau Maestro
via Udemy

4052 Courses


13 hours 57 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

This course is designed to take you from beginner to advanced. You’ll start with Tableau basics, exploring its interface, connecting to data sources, and creating your first worksheets.

As you progress, you’ll dive into real-world data visualization projects, mastering everything from bar charts and scatter plots to advanced dashboards.

Syllabus

  • Introduction to Tableau
  • Understanding the Tableau Interface
    Navigating the Tableau Workspace
    Basic Terminology and Concepts
  • Connecting to Data Sources
  • Importing and Managing Data
    Connecting to Various Data Formats
    Data Preparation and Cleaning
  • Creating Worksheets
  • Generating Basic Visualizations
    Understanding Dimensions and Measures
    Using Filters and Sorting Data
  • Visualization Techniques
  • Creating Bar Charts and Line Graphs
    Building Scatter Plots and Heat Maps
    Utilizing Pie Charts and Treemaps
  • Advanced Visualization Tactics
  • Mastering Dual-Axis and Combined Charts
    Using Tableau Calculations (Calculated Fields, Table Calculations)
    Implementing Advanced Filters and Parameters
  • Dashboard Creation
  • Designing Interactive Dashboards
    Implementing Dashboard Actions
    Optimizing for Dashboard Performance
  • Real-world Data Visualization Projects
  • Analyzing Business Data with Tableau
    Storytelling with Data: Building a Data Narrative
    Case Studies: Real-world Applications and Challenges
  • Advanced Tableau Features
  • Using Tableau Prep for Data Cleaning
    Leveraging Tableau Online and Tableau Server
    Integrating External Services and APIs
  • Course Review and Final Project
  • Final Project Guidelines and Expectations
    Peer Review and Critique
    Course Recap and Q&A Session

Taught by

Programming Hub: 40 million+ global students and Asmita Ranade


Subjects

Data Science