Data Visualization Techniques and Tools

This virtual seminar will introduce 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.