Course Information

Tableau Course Duration: 30 Hours

Tableau Training Method: Classroom Training

Tableau Study Material: Soft Copy

This training will help you clear the Tableau Associate Certificate Level Exam

Course Content

Module 1 –Introduction to Data Ware Housing & Business Intelligence

  • What is Data Warehouse ?
  • Data Warehouse Architecture
  • Data Warehouse Vs Data Mart
  • Data Modeling
    • Relational
    • Dimensional 
      • Star Schema / Snowflake Schema
  • Normalization
    • Data Normalization
    • Data De-Normalization
  • Dimension Table
    • Categories – Normal & Confirmed Dimension
    • Slowly Changing Dimension - Type 1, Type 2 & Type 3
    • Level & Hierarchy
  • Fact Table
    • Categories - Summary / Aggregations table
    • Type
    • Additive
    • Semi-Additive
    • Non-Additive
  • Real Time Data ware housing - Change Data capture
  • What is Business Intelligence?

Module 2 – Introduction to Tableau 10 &Data Visualization

  • Introducing Tableau 10 Overview&Architecture
  • What Is Tableau Components i.e. Server, Desktop, Work Book, Worksheets
  • What is Data Visualization ?
  • Establishing Connections
  • Joins &Union
  • Data Blending and its Benefits

Module 3 – Introduction to Visual Analytics

  • Managing Extracts
  • Managing Metadata
  • Visual Analytics
  • Data Granularity using Marks Card
  • Highlighting
  • Introduction to basic Graphs

Module 4 –Visual Analytics Foundation

  • Sorting
  • Filtering
  • Grouping
  • Graphical Visualization 

Module 5 –Visual AnalyticAdvance

  • Sets
  • Forecasting
  • Clustering
  • Trend Lines&Reference Lines
  • Parameters

Module 6 –Calculations

  • Introduction to Calculation
    • Number Functions 
    • String Functions 
    • Date Functions
    • Logical Functions 
    • Aggregate Functions
  • Introduction to Table Calculation

Module 7 –Charts

  • Gantt Charts
  • Waterfall Charts
  • Pareto &Control Charts
  • Funnel Charts 

Module 8 –Dashboard and Stories

  • Introduction to Dashboard
  • Creating a Dashboard Layout
  • Designing Dashboard for Devices
  • Dashboard Interaction - Using Action
  • Introduction to Story Point

Module 9 –Integrating Tableau with R and Hadoop

  • Introduction to Big Data&Hadoop
  • Introduction to R
  • Integration among R and Hadoop
  • Integrating &Calculating measure using R
  • Integrated Visualization using Tableau

Module 10 –Tableau 10 Project – Sales Analytics

  • This project is involved with working on a Tableau dashboard for sales data. 
  • You will gain in-depth experience in working with dashboard objects, learn about visualizing data, highlight action, and dashboard shortcuts. With a few clicks you will be able to combine multiple data sources, add filters and drill down specific information. You will be proficient in creating real time visualizations that are interactive within minutes.
  • Upon completion of this project you will understand how to create a single point of access for all your sales data, ways of dissecting and analyzing sales from multiple angles, coming up with a sales strategy for improved business revenues.

Training Objectives

  • Learn basics of Data Visualization, establish connection with datasets, perform Join on datasets.
  • Manage extracts and Metadata, perform data granularity on aggregated data.
  • Learn about graphs including Bar graphs, Line graphs, Pie charts, Dual axis graphs and Area graphs with dual axis
  • Perform sorting, filtering and grouping with your datasets
  • Use Trend Lines, Reference Lines, and statistical techniques to describe your data
  • Create Dashboards by using different layouts and create stories
  • Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations, date math, logic statements and quick table calculations
  • Learn advance charts such as Waterfall charts, Pareto charts, Gantt Charts, Control Charts, Funnel Charts and Box and Whisker’s plot
  • Integrate Tableau with R & Hadoop and combine your visualizations into Interactive Dashboards and publish them to the Web


  • There are no pre-requisites for this training.
  • Knowledge of basic database or any language or basic concepts of data analysis would be an advantage, but not all necessary.
  • For all the professionals who are passionate about Business Intelligence, Data Visualization& Analytics.
    • Business Analysts
    • Business Intelligence Manager
    • Statisticians and Analysts
    • Data Scientists
    • Project Managers


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