Data Analytics and Visualization (FUN137)

The course aims to (1) familiarize students with the basics of data analytics, (2) concepts of data types, data gathering, wrangling, and cleaning, (3) linear regression and time-series modeling, and (4) R programming, which will be used to analyze and visualize data, models and forecasts.  By the end of the course students will have empirical tools at their disposal to analyze real world problems.

• To understand the basic terminology and principles used in data analytics.
• To understand the basic concepts of data gathering, wrangling, and cleaning
• Introduce students to key concepts of statistics.
• To understand the basics of linear regression.
• To learn about forecasting using time-series data.
• Visualize data, models, and forecasts.
• To learn about R programming and tools that make it more efficient, such as R Studio, and R Markdown.