Speaking Data I: Literacy and Fluency

Catalog description

Designed to fill the gap between data science, technology management, and communication, providing students the mindsets and skills to critically analyze, interpret, and communicate data in various contemporary contexts. Students will learn how to create informative data visualizations, interactive data dashboards, and compelling data stories utilizing platforms such as Microsoft Excel, Power BI, and Tableau. Students will obtain data science skills by exploring specific data visualization libraries in Python (e.g., Matplotlib, Seaborn) and R (e.g., ggplot2), thereby broadening their analytical toolkit.