Tableau Desktop - Super Easy Introduction
- 3 hours on-demand video
- 17 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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- Understand how Tableau Desktop fits within the Tableau family of products
- Combine data sources for use by Tableau
- Connect to a variety of sources including flat files, databases and web services such as Google Analytics
- Understand data types and roles
- Use key operations in Tableau – filtering, sorting, grouping and creating sets
- Work with extracts (file formats used by Tableau)
- Build and format data visualizations
- Work with maps and location based data
- Create interactive dashboards by using parameters, calculations and actions
- Publish dashboards and visualizations
- The course covers Tableau Desktop product. Students should be familiar with basic data structures and have used similar tools, such as excel, to manipulate and analyse data and produce reports.
***Now Upgraded to Tableau Desktop v9***
This course helps you to master all the basics of Tableau Desktop software quickly and easily. It is aimed at anyone who wants to be able to use this award winning product to analyse and visualize data - both experts and non-experts.
The course is organised into 20 step by step lessons, with a duration of three hours in total.
It covers all the major components and functions of the software, with all the steps needed to build data visualizations and publish dashboards.
Lessons include supplementary notes and we've also added in some quizzes to check and reinforce key information.
We're sure this course will give you the know-how and confidence to be able to use Tableau Desktop in your projects and create some amazing and insightful data visualizations and dashboards.
- This course is aimed at data analysts or people just interested in working with data and data visualizations. No programming or statistical knowledge is needed.
- This course is not for you if you're already working with Tableau.
This introductory lecture welcomes you to our course and gives a brief overview of the course content and what to expect.
This lecture goes into more detail about the course content and outlines the course prerequisites. At the end of this lecture, please follow the instructions below to install Tableau Desktop. We've supplied instructions for both PC and Mac.
Also, this is where you will find datasets (Excel files) which are used in exercises throughout the course.
In this lecture, we'll begin by having a look at the large array of data connections that Tableau supports and then walk you through connecting to a file based data source. We'll also touch on workaround options should Tableau not support a particular data connection out-of-the-box.
In this unit, we'll show you how to connect to structured data sources such as Microsoft SQL Server or Oracle. We'll also introduce you to the Data Window which is an easy-to-use and powerful feature of Tableau Desktop allowing you to select, filter and join tables to source your data from.
In this lecture, we'll take a comprehensive look at the many ways we can combine data sources together. After a brief look at joining data sources outside of Tableau, we'll look at the ways we can do this within Tableau as well. At the end of this lecture, you will have a firm understanding of the different options Tableau offers to combine data and when to use them.
In this lecture we will look at the difference between Measures and Dimensions, the difference between Discrete and Continuous data as well as the types of data fields available in Tableau such as numbers, strings, and dates. We'll see that Tableau lets you define various properties of data fields which change the way Tableau represents them in our data visualizations.
Filtering is the key tool which is used to focus on a specific area or subset - particularly when we're dealing with a large and/or complex dataset. This lecture will show you how to go about filtering in Tableau Desktop. At the end of this lecture, you will learn about the different ways to filter the data both at the data source level as well as within the workbook itself.
In this final lecture we look at the available options for publishing your dashboards. We also walk you through publishing onto the Tableau Public, the free hosting option for your dashboards.