2018/19 Sem A A I enrolled in this course at 2021/2022 Semester A.Ms. Sally Tsang was a benevolent and avid teacher who was always eager to answer my queries about some concepts about statistics such as linear regression and forecasting models, etc. She was also receptive to the ideas of the group project of my team and provided us with useful advice.Although this was the first time for me to take part in a statistical course, the content of the course is decent enough to handle without being mostly unfathomable. The workload of this course is low ( depends on the teacher in charge ). Sally only set 3 assessments for the course.1. Individual Assignment ( a critique about one of the three academic articles about statistics ) [20%] 2. Group Presentation ( analysis of statistical tables from Hong Kong Annual Digest of Statistics ) [40%] 3. Final Quiz ( all covered lecture notes ) [40%]The lecture notes of this course are also arranged systematically. The first few lessons start with introducing the concept of uncertainty and then showing different types of descriptive statistics/methods alongside different distributions, linear regression and forecasting models. Moreover, the course focus on several case studies in the later stage including how to cope with spams and forecasting Intel's stock prices, etc.If you want to get a good grade and notice Sally is the teacher of this course, you may register for this course! However, this course can be a bit boring if you are not interested in statistics.