Tableau Curriculum

tableau

History of Tableau

2003: Tableau was founded to make data analysis faster, easier, and more visual for businesses.
2008: Gained popularity as a powerful tool for interactive data visualization and business intelligence.
2010s: Expanded with features like real-time dashboards, drag-and-drop analytics, and integration with multiple data sources.
Evolution: Enhanced with advanced analytics, AI-powered insights, cloud connectivity, and collaborative data storytelling.
Current use: Widely used by data analysts, business intelligence professionals, and organizations worldwide to visualize, explore, and share actionable insights from complex data.

Module 1: Introduction to Data Visualization & Tableau

  • Introduction to Data Visualization
  • Importance of Data Visualization
  • What is Tableau
  • Tableau Products Overview
  • Tableau Desktop vs Tableau Server vs Tableau Public
  • Tableau Architecture
  • Installation of Tableau
  • Tableau Interface Overview

Module 2: Connecting Data in Tableau

  • Connecting to Excel Data
  • Connecting to Text and CSV Files
  • Connecting to SQL Server
  • Connecting to MySQL and Oracle
  • Connecting to Web Data
  • Live Connection vs Extract
  • Managing Data Connections

Module 3: Data Preparation in Tableau

  • Data Interpreter
  • Cleaning Data
  • Renaming Fields
  • Changing Data Types
  • Splitting Columns
  • Replacing Values
  • Creating Calculated Fields
  • Working with Groups
  • Creating Sets

Module 4: Data Relationships & Joins

  • Types of Joins
  • Inner Join
  • Left Join
  • Right Join
  • Full Outer Join
  • Data Blending
  • Relationships vs Joins
  • Union of Data

Module 5: Basic Charts in Tableau

  • Text Table
  • Bar Charts
  • Column Charts
  • Line Charts
  • Area Charts
  • Pie Charts
  • Donut Charts
  • Dual Axis Charts

Module 6: Advanced Charts & Visual Analytics

  • Heat Maps
  • Tree Maps
  • Bullet Charts
  • Gantt Charts
  • Waterfall Charts
  • Histogram
  • Box Plot
  • Motion Charts

Module 7: Filters, Parameters & Sets

  • Basic Filters
  • Advanced Filters
  • Context Filters
  • Top N Filters
  • Parameters
  • Dynamic Parameters
  • Working with Sets
  • Combined Sets

Module 8: Calculations in Tableau

  • Calculated Fields
  • Table Calculations
  • String Functions
  • Date Functions
  • Logical Functions
  • LOD Expressions
  • Running Totals
  • Rank Functions

Module 9: Dashboards & Stories

  • Dashboard Creation
  • Dashboard Layout
  • Dashboard Actions
  • Filter Actions
  • Highlight Actions
  • URL Actions
  • Creating Stories
  • Story Navigation

Module 10: Maps & Geo Analysis

  • Geographic Roles
  • Map Views
  • Filled Maps
  • Symbol Maps
  • Custom Locations
  • Geo Coding
  • Map Layers

Module 11: Tableau Server & Online

  • Publishing Reports
  • Tableau Server Overview
  • Tableau Online Overview
  • User Roles and Permissions
  • Project Management
  • Scheduling Refresh
  • Sharing Dashboards

Module 12: Performance Optimization & Best Practices

  • Optimizing Data Extracts
  • Reducing Data Size
  • Efficient Calculations
  • Dashboard Performance Tips
  • Tableau Performance Recorder
  • Best Practices for Visualization

Module 13: Real-Time Tableau Projects

  • Sales Dashboard Project
  • Finance Dashboard Project
  • HR Analytics Dashboard
  • Marketing Dashboard
  • Operations Dashboard
  • End-to-End Tableau Project

Why Learn Tableau?

Tableau is the industry-leading tool for data visualization and business intelligence. Learning Tableau helps you transform raw data into interactive dashboards, charts, and reports, making complex information easy to understand. It equips you with skills to analyze trends, monitor KPIs, and support data-driven decision-making. Tableau is widely used by data analysts, business intelligence professionals, and organizations across industries, making it an essential skill for anyone aiming to build a career in data analytics, reporting, and business intelligence.

Future Scope After Learning Tableau

The future scope of Tableau is highly promising, as organizations increasingly rely on data-driven insights for strategic decision-making. By mastering Tableau, you can pursue careers as a Data Analyst, BI Developer, Business Intelligence Consultant, Data Visualization Expert, or Analytics Manager, with opportunities in IT, finance, e-commerce, healthcare, consulting, and corporate sectors. With the growing importance of big data, real-time analytics, and interactive dashboards, Tableau professionals are in high demand to help businesses interpret complex data, optimize operations, and drive growth. Its versatility and industry relevance ensure strong career growth and long-term opportunities for students and professionals.

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