Visual Business Analytics

Types of data displays; numerical and visual summaries of data; data structures for data displays; data vs info graphics; good practices of displaying data; human perception and cognition in data displays; graphics as tools of data exploration; graphical diagnostics of statistical models and machine learning procedures; strategies and techniques for data visualizations; basics of reproducibility and repeatability; web-based interactive applets for visual presentation of data and results; programming in R.

Taught in Fall 2021, Fall 2020, Fall 2019, Fall 2018, Fall 2017, Fall 2016 (newly developed course)