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Description

Welcome to "Tableau Tutorial for Beginners"! In this course, you will learn everything you need to know to get started with Tableau.
We will begin by introducing you to the different types of Tableau products and how they can be used. You will then learn how to download and install Tableau Desktop, and how to import data into the software.
Next, we will cover the basics of the Tableau interface, and show you how to build custom visualizations. We will also delve into advanced topics like creating dual axis charts, hierarchies, groups, and parameters.
You will learn how to create and use sets, as well as how to work with calculations in Tableau. We will also teach you how to publish and share your reports (dashboards) with others.
In addition, we will show you how to create various types of charts and maps in Tableau, such as pie charts, scatter plots, packed bubble charts, and filled maps. We will also teach you how to create animated data visualizations and apply conditional formatting to your data.
Finally, we will demonstrate how to use Tableau for data science by walking you through a cluster analysis and linear regression model using the Iris dataset.
By the end of this course, you will have a solid foundation in Tableau and be able to confidently create powerful and interactive data visualizations.
Who this course is for:
Data analysts, data scientists, or business intelligence professionals who want to learn how to use Tableau
Anyone interested in creating interactive and visually appealing data visualizations
Students or professionals who want to learn how to use Tableau for data science and machine learning applications

What you'll learn

How to get started with Tableau

The different types of Tableau products and how to use them

How to download and install Tableau Desktop

How to import and extract data in Tableau

The basics of the Tableau interface and how to build custom visualizations

Advanced Tableau techniques like creating dual axis charts, hierarchies, groups, and parameters

How to create and use sets, work with calculations, and publish and share reports in Tableau

How to create various types of charts and maps in Tableau, including pie charts, scatter plots, packed bubble charts, and filled maps

How to create animated data visualizations and apply conditional formatting in Tableau

How to use Tableau for data science, including cluster analysis and linear regression modeling using the Iris dataset

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
2
1.1-Introduction - Getting Started with Tableau
1.2-Tableau Products
Types of Tableau Products;1.3-Tableau Working and Usage;1.4-How to Download and Install Tableau Desktop;1.5-Importing Data in Tableau;1.6-Undestanding Data Source in Tableau.;1.7-How to extract Data from Data source in Tableau;1.8-Understanding Tableau Interface;1.9-Building Custom Visualizations in Tableau;1.10-Format at the Worksheet Level;1.11-How to Create Dual Axis Charts in Tableau;1.12-Working with inbuilt hierarchies and multiple axis in Tableau;1.13-Creating a Custom Hierarchy;1.14-Hierarchies in Tableau;1.15-Groups in Tableau : Create Groups;1.16-How to Create and Use Parameters in Tableau.;1.17-What are Sets in Tableau and How to Create sets in Tableau;1.18-Get Started with Calculations in Tableau;1.19-Calculated Field in Tableau;1.20-Publishing and Sharing Reports (Dashboards) in Tableau;1.21-Working with Pie Chart in Tableau;1.22-Scatter Chart and Histogram;1.23-Packed Bubbles and Gantt Chart;1.24-TreeMap and WordMap in Tableau;1.25-Working with Maps and Filled Maps;1.26-Tableau Tutorial for Beginners;1.27-Working with Map Groups in Tableau;1.28-Tableau Tutorial for Beginners;1.29-Importing multiple tables in Tableau;1.30-Reference Lines in Charts;1.31-Reference Boxes and Distribution Points;1.32-Donut and Multiple Shape Charts;1.33-Animations in Charts;1.34-Conditional Formatting in Tableau;1.35-Conditional Formatting with Viz;1.36-Dashboard Creation in Tableau;1.37-Iris Dataset Clustering Analysis;1.38-Data Science with Tableau Iris Data;1.39-Completing the Analysis on Iris Data;1.40-Linear Regression Analysis
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