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

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  • 110 Students
  • Updated 5/2025
4.3
(26 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
9 Hour(s) 21 Minute(s)
Language
English
Taught by
Venkanna Rupani
Rating
4.3
(26 Ratings)
3 views

Course Overview

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

Tableau for Data Visualization, Business Intelligence (BI) and Data Science

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!

Course Content

  • 10 section(s)
  • 12 lecture(s)
  • Section 1 Introduction to BI & Tableau
  • Section 2 Sharing the Tableau Work
  • Section 3 Data Types in Tableau
  • Section 4 Combining Data
  • Section 5 Organizing & Simplifying Data
  • Section 6 Basic Charts
  • Section 7 Advanced Charts
  • Section 8 Advanced Tableau
  • Section 9 Analytics using Tableau
  • Section 10 Dashboards & Story

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


Reviews

  • V
    Vetrivel R
    5.0

    Good

  • B
    Bridget Arguello
    4.0

    For a beginner, I learned some very important features in Tableau. I really liked the hands-on experience this training offered. The transcript needs to be updated and aligned. The program is picking up what it interprets, which isn't what is actually being said. This will help in being able to download and review, versus having to going back and review the video.

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