In the digital age, organizations are inundated with massive data. Strategic use of the data to generate new values play a pivotal role in shaping the business performance. Thus, statistical and computational tools are valued in the digital economy. This course is designed to equip students both practical skills and theoretical interpretation of different statistical and computational models and tools in R. After taking this course, the students can master not only analytical skills such as programming and statistics, but also the capability of building interactive application to present the analysis results. In addition, the students can also master the professional skills such as communication, teamwork, problem solving, and critical thinking.

The course includes both lecturing and hands-on sessions. The students are also encouraged to participate in a series of online activities. Each lecture has its own thematic topic and sample data. There are three home assignment. Those who (at least) pass two home assignment are entitled to submit the final write-up.