This course is meant for students as a hands-on experience in 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/.
- Thursdays 10:15-13:30, Liivi 2-122 on 13.09, 27.09, 11.10, 25.10, 08.11, 22.11, 06.12, 20.12
- Tuesdays 10:00-12:00, Liivi 2-119 on 18.09, 02.10, 16.10, 30.10, 13.11, 27.11, 11.12
- 11.01.2019: 10:15-13:30
- 25.01.2019: 10:15-13:30
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 is the owner of the course, while Rajesh Sharma will handle the course. For any questions please send an email: first name dot last name [at] ut dot ee
This course has been developed with the support of the SoBigData Research Infrastructure funded by the European Commision's H2020 Framework Programme.