Course content
Data is the new oil of the digital economy. Companies can strategically leverage data to generate new value and shape business performance. New AI tools, such as Large Language Models like ChatGPT, are developed based on extensive training data. To extract value from raw data, sophisticated statistical and computational models are essential.
This course is designed to equip students with both practical skills and theoretical understanding of various statistical and computational models and tools in R. State-of-the-art technologies, including machine learning algorithms, text mining, and artificial intelligence, will be covered. By taking this course, students can learn both the theory and application of analytical models. Additionally, students can build interactive applications to present analysis results and insights to a non-technical audience.
The course includes both lectures and hands-on sessions. Students are also encouraged to participate in a series of online activities. Each lecture focuses on a thematic topic and includes sample data. Two on-campus workshops provide students with hands-on tutorials.
See course description in course catalogue