Tableau Desktop from Scratch for Data Analysis and Visualization

person icon Ishita Gupta

Tableau Desktop from Scratch for Data Analysis and Visualization

Professional Tableau Desktop Specialist Certification for Data Analysis and Data Visualization

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Ishita Gupta

architecture icon Tableau,Data Analysis,Data & Analytics,Business Analytics & Intelligence,Business Analysis


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Course Description

  • This course is primarily designed to teach Tableau (A power BI tool and a visual analytics platform transforming the way we use data to solve problems—empowering people and organizations to make the most of their data) and to train you to be a Tableau Developer.

  • It comprises of Introduction to Tableau, its basics (Measures and Dimensions, Loading Data, loading workbooks, Navigating through Tableau, Tableau Desktop GUI, Drag-Drop feature), Tableau Desktop Installation guide, connecting Data Sources to Tableau, Reference lines, trend lines, forecasting, filtering, sorting, aggregation, creating calculated fields, worksheets and formatting your visualizations, creating compelling visualizations Tableau, scatter plots, Date-time, symbol maps, dual-axis graphs, and geometric visualizations (Map Visualizations), Creating and Navigating a Business story, Building your first interactive and Beautiful Dashboard using Tableau, in-course exercises, etc.

  • Tableau doesn't require you to know how to program or code, it can be easily used by any non-programmer to convey business stories to anybody like the company's stakeholders, investors, etc. 

  • Anybody can easily learn Tableau through this course which acts like a step-by-step tutorial for the same hence anybody could opt for this course like Beginners curious about Data Science, Anyone who wants to learn Tableau, Visualizations and Dashboards using Tableau, Tableau Desktop Specialist, Data Visualization, Tableau Certified Data Analyst, Business Intelligence, Data Mining, Business Analytics, Python Developer curious about Data science, etc.


What will you learn in this course:

  • What is Tableau and its Applications, Careers in Tableau
  • Tableau Desktop Installation
  • Tableau Products and their Use Cases
  • Data Sources and Data types in Tableau
  • Measures and Dimensions, Data Representation in Tableau (Continuous/Discrete)
  • Exploring Tableau Desktop UI
  • Using Tableau Dashboards for Solving Data Analysis Problems
  • Types of Functions
  • Using Functions to Create Calculated Fields
  • Parameters
  • Joins
  • Filters and Types of Data Source Connection (Live/Extract)
  • Sets
  • Generated Fields
  • Highlighting Actions in Tableau
  • Understanding Data Visualization and its Importance
  • Plotting Bar Charts, Text tables and Tree Maps In Tableau
  • Plotting Line Charts, Box Plots and  Area Charts In Tableau
  • Plotting Bullet Graphs, Bubble Charts and Scatter Plot In Tableau
  • Waterfall Chart and Funnel Chart
  • Geometric Visualizations (Maps)
  • Defining Story and the Difference between Story and a Dashboard in Tableau
  • Creating your First Story
  • Use Case: Exploring the World Indicators Accelerator
  • Publishing Your Workbook on Tableau Online
  • Testing Your Tableau Skills


What are the prerequisites for this course?

  • Basic Knowledge of using Computer
  • No Programming Experience needed
Tableau Desktop from Scratch for Data Analysis and Visualization


Check out the detailed breakdown of what’s inside the course

Introduction to Tableau
4 Lectures
  • play icon Course Overview 02:01 02:01
  • play icon What is Tableau and its Applications, Careers in Tableau 02:12 02:12
  • play icon Tableau Desktop Installation Guide 02:11 02:11
  • play icon Tableau Products and their Use Cases 01:48 01:48
Tableau Basics
4 Lectures
Diving Deep into Tableau
8 Lectures
Visualizations In Tableau
7 Lectures
Complex Dashboards and Story Telling in Tableau
3 Lectures
Publishing Your Workbook on Tableau Online
1 Lectures
Test Your Tableau Skills
1 Lectures
The Final Project
1 Lectures

Instructor Details

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Ishita Gupta

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