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Tableau

Why Tableau?

Tableau is the industry standard for data visualization. It enables businesses to make faster, smarter decisions by turning data into interactive visualizations. Whether you’re creating simple charts or complex data dashboards, Tableau allows you to explore and analyze data in an intuitive and interactive way.

Who Should Enroll?
  • Data Analysts & Business Analysts looking to enhance their data visualization and reporting skills.
  • IT Professionals aiming to integrate Tableau into their organization’s analytics infrastructure.
  • Students who wish to develop proficiency in the leading data visualization tool.
  • Managers and Executives who want to make data-driven decisions and better communicate data insights.
What you will Learn?
Introduction to Tableau
  • Understanding Tableau Desktop Interface
  • Connecting to Data Sources (Excel, SQL, etc.)
  • Basic Data Preparation Techniques
Creating Visualizations
  • Building Basic Charts: Bar, Line, Pie, and Scatter Plots
  • Using Filters, Parameters, and Calculations
  • Mapping Data in Tableau
Advanced Tableau Features
  • Creating Dashboards and Storytelling with Data
  • Advanced Calculations & Table Calculations
  • Using Tableau Prep for Data Preparation
Data Analysis & Reporting
  • Data Aggregation & Slicing
  • Trend Analysis and Forecasting
  • Creating and Automating Reports
Tableau Server & Tableau Online
  • Publishing Workbooks and Dashboards to Tableau Server
  • Setting Permissions and Security Features
  • Sharing Insights with Teams and Stakeholders
Course Curriculum​
Module 1: Intro to Tableau Tool
  • What is Data?
  • Types of Data (Structured, Unstructured, Semi-Structured),
  • Visualization Basics, 
  • Different Visualization tools,
  • Popularity of the Tools,
  • Licensing Cost, 
  • Different Products of Tableau, 
  • Installation (Student ID),
  • Connecting to Static Files, 
  • MySQL
Module 2: Data Pane Window
  • Live Vs Extract,
  • Data Source Window,
  • Navigating to Worksheet,
  • Data Pane,
  • Analytics Pane,
  • Dimensions, 
  • Measures,
  • Auto Generated Fields,
  • Data Visualization Window Explanation,
  • Data Source Window Operations
Module 3: Groups, Sets, Parameters
  • Hierarchy (In-Built Hierarchy,Manual),
  • Grouping,
  • Sets,
  • Parameter With Filters and Parameter With Sets,
  • Usage of Meausre Names and Measure Values
Module 4: Filters in Tablea
  • Dual Axis,
  • Blended Axis,
  • Dimension Filters,
  • Measure Filter (Record Level Filters,
  • Summary Level Filters),
  • Date Filters,
  • Cascading Filters,
  • Context filters,
  • Data Source Filters,
  • Extract Filters,
Module 5: Calculated Fields
  • Quick Table Calculations,
  • Introduction to Calculated Fields,
  • String Calculated Fields,
  • Number Calculated Fields,
  • Date Calculated Fields,
  • Logical Calculated Fields,
  • ZN Function
Module 6: Data Blending and Joins
  • Mixing Up of All Calculated Fields,
  • Conditional Formatting in Tableau,
  • Data Blending,
  • Data Joins,
  • Unions,
  • Relationships,
  • Basic Charts and Use Cases,
  • Introduction to Show Me,
  • Development of In-Built Charts Part 1,
Module 7: Charts in Tableau
  • Development of In-Built Charts Part2,Customized Graphs(Donut, Waterfall, Bump, Barometer, Butterfly, Gauge meter, Basic Funnel, Advanced Funnel, Word Cloud, Gantt Bar),
  • Animated Chart
Module 8: Reference Lines, Bands, Distributions
  • Arbitrary Formatting,
  • Explanation of Marks Card,
  • Reference Lines,
  • Reference Bands,
  • Reference Distribution
Module 9: LOD's, Intro to Dashboard, Story
  • Forecasting,
  • Introduction to Dashboard,
  • Storyboard Interfaces,
  •  LODs (Fixed, Include, Exclude)
Module 10: Creating a Dashboard
  • Creating a Basic Dashboard with Both Tiled,
  • Floating Layouts,
  • Explanation of Objects in the Dashboard Interface,
  • Action Filters on Dashboards
Module 11: Creating a Advanced Dashboard
  • Advanced Level Dashboard (Drill Down Dashboards),
  • Designing of Basic Story Board
Module 12: Tableau Public Server
  • Publishing Dashboards on Tableau Public Server,
  • Exposure to the Websites that consist of real-time data,
  • Interview Cracking Resources,
  • Introduction to Tableau Certification

Tableau Developer Project Life Cycle

Phase 1: Requirement Gathering & Data Preparation

Understand business needs and reporting requirements. Connect to data sources (SQL, Excel, cloud databases), clean and transform data using ETL processes, and ensure data accuracy for visualization.

Phase 2: Dashboard Development & Optimization

Design interactive dashboards and reports using Tableau’s visualization tools. Implement filters, parameters, and calculated fields for better insights. Optimize performance by using data extracts and reducing complex calculations.

Phase 3: Deployment &
Maintenance

Publish dashboards to Tableau Server or Tableau Online, ensuring access control and security. Monitor performance, update reports based on feedback, and maintain data integrity by scheduling refreshes and handling new data sources.

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