Simplify Techniques for Mastering Data Viz: A Fundamental Approach to Learning about Data and Visualization Software

This webinar will explore three data visualization software that can be taught to classes, faculty, and staff on a fundamental level.

Problem: The utilization of data visualization has rapidly expanded across diverse industries within higher education. Consequently, this has left numerous libraries and information specialists with the need to enhance their skill set. However, this can be a daunting task, particularly for librarians and information professionals who lack expertise in statistics, data science, or coding. Nevertheless, acquiring these skills can open up a world of opportunities and enable them to make better-informed decisions and enhance learning practices.

Solution: This webinar will provide a step-by-step approach to learning how to collect data and use popular data visualization software. We will also explore ways to incorporate these techniques into our work routine and pedagogical strategies for students. This is an exclusive opportunity for information professionals and librarians to learn valuable insights into the power of data visualization in education.

At the webinar's start, the instructor will interact with the audience by discussing "Data's Do and Don'ts" using definitions and examples. The participants will learn effective techniques and pedagogical practices to engage students and enlighten Library and Information Professionals. This will be achieved by demonstrating examples using Tableau, SAS Studio, and ChatGPT. In addition, the participants will be able to identify data resources that align with course objectives and curricular mapping.

In this webinar, you will learn the following:

• An overview of data and data visualization.
• How to determine credible datasets that are appropriate for research and classroom activities.
• Determining best practices for incorporating data visualization software.

Learning Outcomes
By the end of this course, you will have the ability to:

1. Create data and visualization maps and understand the functionalities of visualization software.
2. Implement innovative pedagogical strategies to enhance reference and instructional sessions.
3. Understand basic coding language that will help you create visualizations based on the datasets you are using.