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Data Visualization with Tableau

Course Description

The Data Visualization with Tableau course is designed to equip learners with the skills to transform raw data into clear, interactive, and insightful visual stories. Whether you’re a business analyst, marketer, data enthusiast, or someone stepping into the world of business intelligence, this course will help you harness the full potential of Tableau—one of the most widely used and powerful data visualization tools in the industry.

You’ll begin by understanding the fundamentals of data visualization, then explore Tableau’s interface, and progress to creating advanced dashboards, applying analytics, and sharing reports interactively. The course incorporates modern best practices including UX in dashboard design, data storytelling, integration with tools like Python/R, and even AI-driven analytics. By the end, you’ll be capable of delivering decision-driving dashboards that can support real-time business strategies across domains.

What You’ll Learn

  • Fundamentals of Data Visualization
    Learn the principles of visual design and how to communicate data-driven insights effectively.

  • Navigating Tableau's Interface
    Master Tableau Desktop and Public tools, including key components like sheets, dashboards, and stories.

  • Connecting and Preparing Data
    Work with diverse data sources, perform joins/unions, and use Tableau Prep to clean and shape your data.

  • Building Core Visualizations
    Create compelling charts and maps including bar, line, scatter, heat maps, tree maps, and KPI dashboards.

  • Advanced Analytical Techniques
    Apply forecasting, clustering, level of detail (LOD) expressions, and trend analysis for deeper insights.

  • Interactive Dashboards & UX Design
    Design dynamic dashboards with filters, actions, and parameters while following user-friendly layout principles.

  • Data Storytelling and Decision Support
    Learn to craft compelling data stories and narratives using Tableau’s Story Points and guided visuals.

  • Sharing & Publishing Reports
    Understand how to publish dashboards online, embed them, or export them for business presentations.

  • Real-World Case Applications
    Apply your knowledge to real-life domains such as sales, marketing, finance, and operations with hands-on projects.

  • Certification & Career Prep
    Prepare for Tableau Desktop Certification with practical tips, mock exams, and project-based learning.

 

Course Curriculum

  • Introduction to Data Visualization and Tableau

    • What is Data Visualization?

    • Importance of Visual Analytics in Business Decision-Making

    • Overview of Tableau and Its Ecosystem

    • Tableau Products: Desktop, Public, Server, and Online

    • Installing Tableau and Understanding the Interface

    • Key Concepts: Worksheets, Dashboards, and Stories

  • Connecting and Preparing Data

    • Supported Data Sources in Tableau

    • Live vs. Extract Connections

    • Data Interpreter and Metadata Grid

    • Data Joins, Unions, and Blending

    • Pivoting and Splitting Columns

    • Data Preparation Best Practices

    • Introduction to Tableau Prep (Trending Tool)

  • Understanding Tableau Fundamentals

    • Dimensions vs. Measures

    • Discrete vs. Continuous Fields

    • Data Types and Hierarchies

    • Sorting, Filtering, and Grouping Data

    • Using Sets, Bins, and Calculated Fields

    • Working with Parameters for Dynamic Views

  • Creating Basic Visualizations

    • Bar, Line, and Area Charts

    • Pie and Donut Charts

    • Maps and Geographic Visualizations

    • Scatter Plots and Bubble Charts

    • Tree Maps and Heat Maps

    • Trend Lines and Reference Lines

    • Best Practices for Chart Selection

  • Intermediate to Advanced Visualizations

    • Dual-Axis and Combination Charts

    • Gantt Charts for Time-Based Data

    • Waterfall Charts and Bullet Graphs

    • KPI Dashboards and Scorecards

    • Custom Visualizations with Calculations

    • Using Level of Detail (LOD) Expressions

  • Interactive Dashboards and Storytelling

    • Designing Interactive Dashboards

    • Using Filters, Actions, and Parameters for Interactivity

    • Layouts and Device Responsiveness

    • Story Points: Narrating with Data

    • Incorporating UX/UI Principles

    • Best Practices in Dashboard Design

    • Use of Color Theory and Visual Cues

  • Sharing, Publishing, and Collaborating

    • Publishing to Tableau Public and Tableau Online

    • Embedding Visualizations into Websites

    • Creating Scheduled Extracts and Subscriptions

    • User Permissions and Access Control

    • Collaborative Dashboards for Teams

    • Exporting to PDF and PowerPoint

  • Advanced Data Analytics in Tableau

    • Forecasting and Trend Analysis

    • Clustering and Outlier Detection

    • Advanced Table Calculations

    • Time Series Analysis and Moving Averages

    • Using R and Python with Tableau (Trending Feature)

    • Predictive Modeling Integrations

  • Real-World Applications and Case Studies

    • Sales and Marketing Dashboards

    • Financial Analysis Visuals

    • HR and Workforce Analytics

    • Healthcare and Government Case Examples

    • E-commerce and Customer Behavior Tracking

    • Capstone Project: Build a Full Dashboard from Raw Data

  • Exam Prep and Certification Readiness

    • Review of Key Concepts and Terminologies

    • Hands-On Practice with Mock Dashboards

    • Tips for Tableau Certification Exam

    • Common Mistakes to Avoid

    • Career Paths in Data Visualization

    • What’s Next: BI Tools Comparison (Power BI, Looker, etc.)

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Title From Date To Date Cost
Upcoming Classes 2025-05-17 2025-05-18 749
Upcoming Classes 2025-05-17 2025-05-18 749
Upcoming Classes 2025-05-24 2025-05-25 749
Upcoming Classes 2025-05-31 2025-06-01 749
This Course Fee:

₹2,499.00

₹4,500.00
Course includes:
  • img Level
      Beginner Intermediate
  • img Duration 16h
  • img Passing Marks 75
  • img Exam Duration 1h 30m
  • img Certifications Yes
  • img Language
      English German Arabic French Spanish
  • img Access 90 Days
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