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This virtual seminar will introduce students, faculty, and staff to data visualization techniques and tools. Attendees should have some prior knowledge of programming and data analysis. The 90-minute seminar will focus on essential concepts and hands-on experience in data visualization.

 

Topics Covered:

  • Introduction to Data Visualization (15 minutes):
    • Importance and Applications
    • Principles of Effective Visualization
  • Tools and Technologies (20 minutes):
    • Overview of Popular Visualization Tools (e.g., Tableau, Power BI, Matplotlib)
    • Hands-on Demonstration
  • Designing Visualizations (20 minutes):
    • Data Preprocessing and Cleaning
    • Selecting the Right Visualization Type
    • Aesthetics and Customization
  • Interactive Visualizations (15 minutes):
    • Creating Dynamic and Interactive Plots
    • Real-world Case Study
  • Q&A and Closing Remarks (20 minutes):
    • Open Discussion and Questions
    • Summary and Takeaways

Who Should Attend: This seminar is suitable for data scientists, analysts, researchers, students, and faculty interested in leveraging data visualization to enhance decision-making and storytelling.

 

Prerequisites: Attendees should have a basic understanding of data analysis and programming. Familiarity with specific visualization tools is a plus but not required.

 

Materials and Resources: All attendees will receive access to seminar materials, code samples, and additional resources to continue learning and exploring data visualization techniques.

 

Registration is required to attend.

Event Details

  • James Robert Cox

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