Welcome to ST309 Elementary Data Analytics.

The primary focus of this course is to help students view various problems from business, economy/finance, and social domains from a data perspective and understand the principles of extracting useful information and knowledge from data. Students will also gain the hands-on experience using R -- a programming language and software environment for data analysis and visualisation. Learning basic data analytic methods and techniques is combined with real-life examples.

Students who have no previous experience in R are requied to take on an online pre-sessional R course. 

All teachings (i.e lectures and classes) are scheduled in Weeks 1-10. Lectures are scheduled in 11:00 -- 13:00 Thursday. Classes will be held separately in small sizes. Please check your personal timetable for the allocation of your classes.

There are 6 sets of exercises (i.e homework). Three of them (i.e. Exercises 2, 4 and 6) are part of formal assessment, each accounts for 10% of the final grade. Your answers should be submitted online at Moodle. See Exercise Section below for the submission links and releavent information.

The information on a group project is given below. The project report should be submitted to Moodle by 4pm on Thursday, 6 February 2025. It accounts for 70% of the final grade.

Qiwei Yao (Q.Yao@lse.ac.uk) is the course lecturer. Yutong Wang (Y.Wang487@lse.ac.uk) and Xianghe Zhu (X.Zhu58@lse.ac.uk) are class teachers. You may book office hours (for in-person meetings) with them via Student Hub. Their office hours are:

        Qiwei Yao: 10:30 -- 12:30 Friday, Room COL.7.16

         Yutong Wang: 11:00 -- 12:00 Tuesday, Room COL 5.03

        Xianghe Zhu: 15:00 -- 16:00 Monday,  Room COL 5.03