Description
This course is meant for students as a hands-on experience for solving business problems in the fields of sales, marketing, and business operations by applying statistical analysis and data mining techniques.
We will be using R to handle the case studies. Before the first lecture, please, download R https://cran.r-project.org/ and RStudio https://www.rstudio.com/.
Schedule
- Thursdays 10:15-13:30, Liivi 2-122 on 14.09, 28.09, 12.10, 26.10, 09.11, 23.11, 07.12, 21.12
- As a one-off exception, the course will start at 10:30am on 14.09
Organization of the course
Each lecture is 4 academic hours, where the first 2 we learn and discuss the problem, relevant techniques, and solutions, while the next 2 hours are practical, where we solve the case studies. The homework will be mostly the continuation of the provided cases.
Organizers of the course
Marlon Dumas will give an introductory lecture, while Anna Leontjeva will handle the rest of the course.
For any questions please send an email: anna.leontjeva@ut.ee