Tableau was made for data science. Learn how to format and filter messy data, use Tableau for data analysis, and visualize data with maps and dashboards.
- [Matt] Hi, I'm Matt Francis. Tableau's Headmaster and wannabe data rock star, and welcome to Tableau 10 for Data Science. In this course, we'll look at the difference between discreet and continuous data. An important implication this has with every aspect of Tableau. You'll see how to connect to data and how creating data extracts can optimize the end user experience if our data connection is slow. You'll learn how we can transform our data by cleaning, splitting, pivoting, and merging. And explore the new cross data source joins that are now possible with data integration.
You'll discover new ways to analyze your data, that is as easy as dragging and dropping items onto your canvas, such as, quick highlighting, reference lines, and the new clustering function. We'll look at some of the new ways to create beautiful maps using Mapbox. I'll show you how to create personalized, dynamic visualizations by using parameters to take user input and drive the visualization. The course covers good design practices for dashboards, how to make them beautiful as well as functional. And how to make them fully interactive using actions.
As a bonus, I'll share some useful calculations for working with dates and times and strings. I'm super excited to share the amazing things you can do with data and Tableau. Let's get started with Tableau 10 for Data Science.
The training starts with one of the most important features in Tableau: the difference between the green and blue pills (discrete and continuous data) and how this affects every single action Tableau performs. Then find out how to add new maps and create more effective dashboards that maximize screen real estate. Discover how actions can link together sheets and provide greater levels of interactivity and performance, and how formatting can make an ordinary dashboard demand attention. Plus, get some bonus tips on performing date and time calculations in Tableau. This course deep-dives into the practical, applicable, and essential skills that anyone doing data visualization and analytics in a professional setting needs to have.
- Green vs. blue pills
- Using filters, colors, and dates
- Connecting to data
- Extracting data
- Cleaning and prepping data
- Pivoting data
- Merging and joining data
- Highlighting data
- Using the Analytics pane
- Creating new maps
- Creating calculations based on parameters
- Designing dashboards
Skill Level Intermediate
Q. Thise course was updated 04/21/2017. What changed?
A. Videos were added to cover features in Tableau 10.2.
Creating Interactive Dashboards in Tableauwith Nate Makdad1h 37m Intermediate
Data Visualization for Data Analystswith Bill Shander1h 31m Beginner
Learning Data Visualization (2014)with Bill Shander3h 41m Beginner
1. Green and Blue Pills
2. Connect and Extract Data
3. Transform Data
5. Map Your Data
7. Dashboard Design
8. Useful Calculations
9. Tableau 10.2 Updates
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