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
Slides PDF
Workshop Files
FA23 Data Visualization Lecture Recording
View and Download Data Visualization Slides
Download Data Visualization Workshop Files