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© All rights reserved 2018, Southern Data Science, LLC

Data Analytics with Tableau

Time and Location

Apr 18, 2020 at 9:00am - 3:00pm EDT

Cobb Galleria Center

Details and Agenda

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?


Tim Lafferty – Data Scientist @ Velocity Group

Graduating from Georgia Tech’s Industrial Engineering program with a concentration in statistics, Tim has focused his career on data-centric development providing valuable insights to both consumers and business owners. He has provided Tableau consulting, development and training for many large companies including Delta, AAA, Deloitte, Mass Mutual and the Federal Reserve.


General Workshop Agenda
1. Tableau introduction/refresher


  • Development environment

  • Data connections and cardstabs

  • Pills shelves

  • Groups and hierarchies

2. Exploratory Analysis
Explore relationships between variables via visual methods

  • Bar charts

  • Line charts

  • Scatterplots

  • Calculations


3. Time Series

  • Learn multiple ways to analyze time-series data

  • Discrete vs continuous time parts

  • Trends and forecasts

  • Percent change, error, moving averages

  • Parameters

4. Maps
Unlock Tableau’s powerful built-in mapping functionality


  • Maps

  • Data Layers

5. Dashboards
Put everything together in a simplistic yet meaningful way

  • Actions

  • Navigation

  • Customization

  • Best practices