Data Visualization is increasingly used for gaining an understanding of data in a particular context, by using statistical graphs and information graphics for better visual representation of data. Various software tools are rapidly gaining in popularity that not only allow for data visualization, but also permit the interactive analysis of data. This permits individuals to better analyze and reason about data by performing different operations against the dataset under study.
This hands-on workshop provides an introduction to data visualization and data analysis using a modern software tool, with the following being the main focus of this workshop. Students will learn how to:
- Recognize various techniques used in data visualization, including their applicability and usage.
- Understand various best practices for these different techniques, including common pitfalls to avoid.
- Demonstrate the usage of a data visualization tool (such as Tableau Public).
- Create interactive dashboards using sample datasets for ongoing data analysis.
Should you fail to withdraw 48+ hours in advance, thereby preventing your colleagues on the waitlist from filling in your spot, your library account will be charged $10 per missed workshop. Please note, it is your responsibility to sign next to your name on the attendance sheet for each workshop session. A blank signature spot will result in a penalty charge.
Zia Babar, PhD Candidate, Faculty of Information