Introduction to Data Visualization with Tableau
Time and Location
Sep-9, 2022 at 9:00am - 3:00pm EDT
The Westin Atlanta Perimeter North
Details and Agenda
1. Tableau introduction
-
Development environment
-
Data connections
-
Dimensions, Measures, and Shelves
-
Groups and hierarchies
2. Basic Exploratory Analysis
-
Charts
-
Marks
-
Page
-
Filter
-
Calculated Measures
-
Table Calculations
-
Parameters
3. Advanced
-
Data Blending
-
Time Series
-
Trends and forecasts
-
Percent change, moving averages
-
Maps
-
Plot Maps
-
Data Layers
-
Use Cases
4. Dashboards
-
Actions/Passing Parameters
-
Navigation
-
Storyboarding
-
Best practices
Workshop Requirements
-
Have Tableau downloaded prior to class (Tableau offers 2-week free trial – make sure not to download outside of two-week window) https://www.tableau.com/products/desktop
-
Be able to download course material (data extracts, .csv and .xlsx files) from an external site
-
No prior knowledge of Tableau is necessary, but this workshop will move quicker than a traditional training. The ability to pick things up conceptually is very beneficial.
-
An external mouse makes things a lot easier, but not a requirement.
Who Should Attend?
-
People interested in learning best-practices around data visualization
-
People wanting a high-level overview of Tableau
-
People curious about Tableau’s analytical capabilities such as clustering, forecasting, and R/Python integrations
-
People who are more focused on business intelligence as opposed to the technical operations
Who Should NOT Attend?
-
Tableau Zen masters looking to dive into the advanced realms of Tableau’s data-padded, triple nested LOD calculated, custom geo-coded capabilities.
Who Is Your Speaker?
Nian Yan, Data Scientist, Core Recommendations at Home Depot Online
Received a Ph.D. degree in Information Technology with a concentration in machine learning from the University of Nebraska Omaha, Nian has a decade of successful experience working as an R&D practitioner using advanced analytics to solve business problems. Prior to his current role, he served as a data scientist leading the research and product development in Identify Fraud Solutions at Equifax. Nian has more than 10 years of experience using Tableau as a communication tool to the business as the showcase of machine learning and analytical solutions. Nian also loves photography and he develops films by himself.