Data Visualization Techniques and Tools

Data Visualization Techniques and Tools is for data scientists, analysts, researchers, students, and faculty interested in leveraging data visualization to enhance decision-making and storytelling. Attendees should have a basic understanding of data analysis and programming. Familiarity with specific visualization tools is a plus but not required. The 90-minute seminar will focus on essential concepts and hands-on experience in data visualization.

Schedule:

The Events page will show the next scheduled session.

Prerequisites:

None

Topics:

Introduction to Data Visualization:
- Importance and Applications
- Principles of Effective Visualization
Tools and Technologies:
- Overview of Popular Visualization Tools (e.g., Tableau, Power BI, Matplotlib)
- Hands-on Demonstration
Designing Visualizations:
- Data Preprocessing and Cleaning
- Selecting the Right Visualization Type
- Aesthetics and Customization
Interactive Visualizations:
- Creating Dynamic and Interactive Plots
- Real-world Case Study
Q&A and Closing Remarks:
- Open Discussion and Questions
- Summary and Takeaways

Lecture Recording:

Materials:

Data Visualization Techniques and Tools Slides (13.06 MB)
Data Visualization Techniques and Tools Workshop Files (1021.00 KB)