Introduction to Data Visualization with Tableau
Are you currently involved in work that could be augmented by visualizing your data for analysis or to communicate your findings to the public? Would you like to further your skills or learn new ways to make charts, graphs, maps using the Tableau?
Being able to effectively communicate your data to an audience is a necessary part of any project, and is made easier through the use of visualization tool like Tableau. In this workshop, we will discuss the basic capabilities of Tableau as well as take a hands-on approach to using the tool.
Please have downloaded Tableau with a student (https://www.tableau.com/academic/students) or teacher (https://www.tableau.com/academic/teaching) license prior to the workshop.
This workshop is a part of the Data Visualization for Citizen Science and Community Data Series. For other workshops in the series, please see the links below:
Data Storytelling | Starting September 12
Data Visualization Best Practices | September 26
Data Visualization in R | November 7
Data for Citizen Science on Community Data | November 14
- Tuesday, October 10, 2023
- 12:00pm - 1:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Sorrells Library, Den
In-Person Event Information:
Indoor meetings and university-sponsored events of up to 50 persons are permitted. Due to COVID-19 campus restrictions, in-person workshops and events are only open to current CMU affiliates at this time.
Outdoor meetings and university-sponsored events are permitted up to 50% of outdoor facility capacity.
For more information on in-person activities and spaces, please visit the university's COVID-19 Updates Guide
Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.
If you require accessibility accommodations, please contact the event organizer.
CLIR Postdoctoral Fellow in Data Curation for Energy Social Sciences
Data Curation, Visualization, and GIS Specialist