Tableau Training
Tableau is a powerful and fast growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data into the very easily understandable format. Data analysis is very fast with Tableau and the visualizations created are in the form of dashboards and worksheets. The data that is created using Tableau can be understood by professionals at any level in an organization. It even allows a non-technical user to create a customized dashboard
Several courses are offered (see below). All courses can be customized and delivered at your location.
Tableau Professional Training Course Offerings
Please email UCBusAnaltyics@uc.edu for more information.
A Certificate of Completion is provided with each course showing number of contact hours (instruction), and field of study as "Information Technology" for continuing education purposes. Most courses provides 14 contact hours and are equivalent to 1.4 CEU's.
The term CEU is not a trademarked term; therefore, any educational institution may use it to describe their courses. Professions and industries usually regulate their approved continuing education within their bylaws and not one institute or accrediting body has become a standard to accept in this regard.
Professionals should always consult their Association or regulating body prior to embarking on continuing education and not assume a CEU will be accepted as part of their professional development.
Three classes from the following list:
- Data Visualization Principles, Storyfinding and Storytelling
- Introduction to Tableau or Introduction to PowerBI
- Advanced Tableau or Advanced PowerBI
To achieve a Certificate of Competency, all three classes must be taken through the Center for Business Analytics. In the event that professional experience meets the prerequisite for a class, another approved class may be substituted (limited to 1 class per Certificate of Competency)
Introduction to Tableau
This online or two-day in-person training is designed for beginner Tableau users and anyone who works with data with or without technical or analytical backgrounds. Those with some prior Tableau experience will benefit from the many tips and trick covered in this training.
Additional topics may be covered in this course depending on attendee interest and questions.
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No prior experience required.
- 4 online sessions with live instructor
- Time commitment 12-16 hours
- Certificate of Completion.
This training can also be customized and delivered at your location.
Instructor: Jeff Shaffer
Advanced Tableau
This online four-session Advanced Tableau training, taught by a live instructor, will cover intermediate and advanced topics.
Course content will include advanced chart types and business dashboards, advanced calculations in Tableau, using calculations, parameters, and table calculations, and other topics.
Additional topics may be covered in this course depending on attendee interest and questions.
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Tableau Forecast · Lines Chart Types · Dual Axis Area Chart Tile Maps · Shapes with Data Blend Mapping · Shapefiles with points on a map |
Import PDF and Data Prep · Tableau-Import Hamilton County Auditor PDF Bins · Sales or Profit Bins Calculations · Table Calculations Custom Color Palettes · Create Custom Color Palette Javascript API R Integration |
Prerequisite: Attendees should have attended previous "Introduction to Tableau" trainings or have significant experience using Tableau in a professional environment.
- 4 online sessions with live instructor
- Time commitment 12-16 hours
- Certificate of Completion.
This training can also be customized and delivered at your location.
Instructor: Jeff Shaffer
Data Visualization Principles, Storyfinding, and Storytelling
NOTE: This class is tool agnostic and is a general survey of data visualization designed for anyone who wants to learn more how to create effective visualizations using any software
Data visualization—the study of the visual representation of data—plays a crucial role in the work of researchers and analysts. Organizations tasked with producing, releasing, and analyzing large amounts of data can more effectively analyze and communicate their work by understanding how to better visualize their data. Often, however, visualizing research results is considered secondary to the analysis, which ultimately limits the effective relay of information.
The Data Visualization Training is a two-day workshop that provides a well-rounded introduction to the field of data visualization to create better, more effective data visualizations. The workshop (detailed below) includes an overview of the field of data visualization, an overview of different visualization types, strategies and best practices to visualizing data, and how to use data visualization to find and tell stories and more effectively communicate information.
Workshop outlines can be found below and can be modified and tailored for specific needs.
Topics
- Introduction to data visualization and why it’s important
- Principles of visual perception
- Understanding the preattentive attributes
- Data visualization fundamentals and best practices
- Thinking critically about visualization design
- Compare and contrast real-world examples
- Telling a story through visualization and effectively present results to an audience
- How to use data visualization to analyze data
- Creating visual insights from data that generate action
- Design principles for creating effective data visualization
- Creating dashboards to monitor organizational status and gain understanding of the data
- Principles of dashboard design
Objectives
- Understand the fundamentals of data visualization
- Become familiar with types of data and visualization
- Learn data visualization best practices
- Broaden attendees’ graphic literacy
- Increase clarity and impact of messages through data visualization
- Learn how to find and effectively tell stories with data
No prior experience required
- 4 online sessions with live instructor
- Time commitment 12-16 hours
- Certificate of Completion.
This training can also be customized and delivered at your location.
Instructor: Jeff Shaffer
Instructor: Jeffrey Shaffer
Jeffrey A. Shaffer is the Director of the Applied AI Lab and the Kirk and Jacki Perry Professor of Analytics, as well as an Assistant Professor-Educator at the University of Cincinnati’s Carl H. Lindner College of Business.
He is known for his expertise in data visualization, analytics, artificial intelligence, and Tableau, Mr. Shaffer is an in-demand speaker at conferences, symposiums, and corporate training programs worldwide. He has taught data visualization extensively, including for the University of Cincinnati, the Center for Business Analytics, KPMG Advisory University and numerous Fortune 500 companies.
An accomplished data visualization specialist, Mr. Shaffer was a five-time Tableau Zen Master, earning him induction into the prestigious Tableau Visionary Hall of Fame in 2021. He is the co-founder and leader of the Cincinnati Tableau User Group and has been recognized in multiple Tableau contests, including Iron Viz, and the Tableau Quantified Self Visualization Contest.
He co-authored The Big Book of Dashboards, a renowned resource in data visualization, and curates TableauReferenceGuide.com. His blog, DataPlusScience.com, is a respected source of insights in the field, earning accolades from the Kantar Information is Beautiful Awards. Additionally, he co-hosts the award-winning data podcast Chart Chat, honored with the 2021 Data Literacy award for Most Interesting Data Podcast.
Testimonials
- I actually came because I had heard great things about the instructor and learned far more than I was expecting."
- "I knew some Tableau but this course put everything together for me."
- "Great course and great instructor."
- "The instructor is clearly knowledgeable and can think on the fly to answer questions."
- "Fantastic course. Lots of knowledge given in two days in a very organized method."
For more information about these classes, or for custom training classes, please contact
