Tableau Tutorial for Beginners

Name: Tableau Tutorial for Beginners
Rating: 4.1 (15 reviews)

Master Tableau and Create Beautiful Data Visualizations with These Beginner-Friendly Lessons

Created byProgramming Knowledge

Last updated 1/2023

English

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

Course content

1 section • 40 lectures • 6h 39m total length

Introduction - Getting Started with Tableau10:03
Tableau Products | Types of Tableau Products9:59
Tableau Working and Usage10:03
How to Download and Install Tableau Desktop9:53
Importing Data in Tableau10:03
Undestanding Data Source in Tableau.10:11
Explore Tableau's data source metadata and field types. Learn to rename, reset, and alias columns, view metadata details, and decide when to create calculated fields, groups, or bins.
How to extract Data from Data source in Tableau10:11
Understanding Tableau Interface10:05
Learn how to create and manage unions in Tableau, explore data sources, and build visualizations using sheets, dimensions, measures, and the analytics pane.
Building Custom Visualizations in Tableau9:57
Learn to create and customize visualizations in Tableau, including renaming sheets, editing titles, adjusting fit options, applying color and labels, sorting by sales, and formatting currency.
Format at the Worksheet Level10:03
Format a Tableau worksheet by customizing fonts, alignment, numbers, and currencies, including negative value formats. Use shading, borders, grid lines, axis text, and labels from the Format tab.
How to Create Dual Axis Charts in Tableau10:00
Working with inbuilt hierarchies and multiple axis in Tableau10:05
Creating a Custom Hierarchy10:14
Hierarchies in Tableau10:03
Groups in Tableau : Create Groups10:09
Learn how to create and manage groups in Tableau to cluster top subcategories within each category, rename groups, and control colors and visibility through filters for clear comparisons.
How to Create and Use Parameters in Tableau.9:53
What are Sets in Tableau and How to Create sets in Tableau9:58
Get Started with Calculations in Tableau10:08
Calculated Field in Tableau10:08
Create a calculated field in Tableau to apply mathematical, logical, and date functions to existing fields, revealing profit versus loss.
Publishing and Sharing Reports (Dashboards) in Tableau9:54
Working with Pie Chart in Tableau10:00
Scatter Chart and Histogram10:02
Packed Bubbles and Gantt Chart9:53
TreeMap and WordMap in Tableau10:10
Create tree maps and word maps in Tableau, sizing by profit and coloring by sales via show me. Note that word maps require extra steps, as they aren't natively supported.
Working with Maps and Filled Maps10:15
Tableau Tutorial for Beginners10:11
Working with Map Groups in Tableau9:40
Tableau Tutorial for Beginners9:23
Master building funnel charts from category and shipment data, tailor colors and labels, and create advanced funnel and waterfall charts, including negative sales, in Tableau.
Importing multiple tables in Tableau9:52
Learn how to import and relate multiple tables in Tableau using a common key like order ID, to analyze returns, subcategories, and state maps from the sample data.
Reference Lines in Charts9:57
Reference Boxes and Distribution Points10:00
Donut and Multiple Shape Charts10:07
Create a donut chart from a pie chart in Tableau, and build a multiple shapes chart (lollipop) using dual axes, with labels, percent of total, and hierarchies.
Animations in Charts10:13
Learn to create time-based animations in Tableau charts using the pages pane, loop playback, show history, and color and trail settings for bar and line visuals.
Conditional Formatting in Tableau9:56
Learn how to apply conditional formatting in Tableau by creating calculated fields, using index and last functions, converting to discrete, and highlighting top or bottom subcategories with color rules.
Conditional Formatting with Viz9:50
Dashboard Creation in Tableau10:02
Iris Dataset Clustering Analysis9:39
Data Science with Tableau Iris Data9:43
Completing the Analysis on Iris Data9:26
Linear Regression Analysis9:46

Requirements

Basic knowledge of data analysis and visualization
Familiarity with the Windows, Mac, or Ubuntu operating system

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