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Tableau A-Z : Master Tableau for Data Science and BI
Rating: 4.2 out of 5(28 ratings)
117 students

Tableau A-Z : Master Tableau for Data Science and BI

Tableau for Data Visualization, Business Intelligence (BI) and Data Science
Created byVenkanna Rupani
Last updated 5/2025
English

What you'll learn

  • What are Business Intelligence (BI) and Data Visualization?
  • What is Tableau?
  • Various Tableau Products
  • Tableau Public, Tableau Interface & Terminologies
  • Data Connections using Tableau
  • Sharing of Tableau Work
  • Data Types in Tableau, Dimension Vs Measure, Discrete Vs Continuous data, Aggregations & Automatic Fields
  • Combining Data: Joins, Data Blending & Union
  • Organizing & Simplifying Data : Filters, Split, Sorting, Groups, Sets and Hierarchy
  • Creating variety of charts using Tableau "Show Me" : Basic Charts
  • Advanced Charts in Tableau including Geographic Maps
  • Flexibility & Interactivity : Creating & Using Parameters
  • Calculations: Calculated Fields, Quick Table Calculations & Table Level Calculations
  • Level of Detail (LOD) expressions: Fixed, Include & Exclude
  • Analytics using Tableau
  • Dashboards: Create Interactive Dashboards using Dashboard Actions & Objects
  • Creating Story

Explore related topics

Course content

10 sections • 12 lectures • 9h 21m total length

  • Overview of Course : Tableau 2021 A-Z5:10

    Overview of the Tableau course and methodology used in delivery of this course.

  • Introduction to BI & Tableau52:11

    1. Introduction To BI, Data Visualization, Tableau & its products;

    2. Tableau Desktop, Tableau Public, Tableau Connections, Interface & Terminologies.


    The "Sample - Superstore.xls" file contains the retail store transactional data. This dataset has been used throughout the course to explain various concepts, for hands-on practice, to build various visualizations / charts, to prepare Dashboards and Story.

    Hence, learners may download this file to learn and practice Tableau throughout this course and for the assignments as well.

  • Test your understanding on Introduction to BI & Tableau.

Requirements

  • PC or Laptop with Internet

Description

Learn "complete Tableau" within 10 hours.

This course covers A-Z of Tableau for Data Visualization, Business Intelligence (BI) and Data Science.

It is intended to make the learners switch from a Beginner to an Expert level, so as to master the Tableau.


This course has been made into 10 sections and covers all the Tableau topics as mentioned below:

1. Introduction to BI & Tableau, Tableau Products, Tableau connections to Data Sources, Interface and Terminologies.

2. Sharing of Tableau work (Publishing the work into Tableau Public Server).

3. Data Types, Dimension Vs Measure, Continuous Vs Discrete Data, Aggregations and Automatic Fields generated by Tableau.

4. Combining data using Joins, Data Blending and Union.

5. Organizing & Simplifying Data (using Filters, Split, Sorting, Groups, Sets and Hierarchy).

6. Basic Charts:

  • Bar Charts

  • Histogram

  • Pie Charts

  • Line & Sparkline Chart

  • Combination Charts

  • Text Tables

  • Heat Map

  • Tree Map

7. Advanced Charts:

  • Box & Whisker Plot

  • Scatter Plot

  • Bullet Charts

  • Pareto Charts

  • Waterfall Charts

  • Gantt Charts

  • Motion Charts

  • Geographic Maps

8. Advanced Tableau topics [Calculations, Parameters and Level of Detail (LOD) expressions].

9. Analytics using Tableau – Trends, Predictive Analytics / Forecast and Instant Analytics.

10. Creating effective and interactive Dashboards & Story.


The course covers the theoretical aspects of each of the above topics followed by demo on each concept/technique. Also, assignments are included to enable the learner apply various concepts. Finally, quizzes are made available at the end of each section to check the understanding of the learner on various concepts.


Wish you Happy Learning!

Who this course is for:

  • Students / Learners interested in Data Visualization, Business Intelligence (BI) & Data Science
  • Beginners into Business Intelligence
  • Business Analysts & Data Analysts
  • Beginners to Experts in Data Science domain
  • All those who wish to "tell Stories" using Data Visualization

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