Data Analytics in Organisations and Business
Autumn semester 2020
General information
Course content
On the end-to-end process of data analytics in organisations & business and how to transform data into insights for fact based decisions. Presentation of the process from the beginning with framing the business problem to presenting the results and making decisions by the use of data analytics. For each topic case studies from the financial service, healthcare and retail sectors will be presented.
Announcements
Course materials
The lecture notes from 2015 are available here .
| Week | Topic | Material |
|---|---|---|
| Week 1 | Introduction | |
| Week 2 | Framing the business problem | |
| Week 3 | Framing the analytics problem I | |
| Week 4+5 | Framing the analytics problem II | |
| Week 6 | Data I | |
| Week 7 | Data II | |
| Week 8 | Data III, Problem Solving Approaches I | |
| Week 9 | Problem Solving Approaches II | |
| Week 10 | Problem Solving Approaches III | |
| Week 12 | Problem Solving Approaches IV, Model set up and validation | |
| Week 13 | Model set up and validation II | |
| Week 14 | Deployment of models, Model lifecycle, Operating models |
Series and solutions
The series' solutions can be handed in during the lecture or be emailed to Isabelle. It is not required to submit your solutions.
| Exercises | Solutions |
|---|---|
| Series 1 | Solutions 1 |
| Series 2 | Solutions 2 |
| Series 3 | Solutions 3 |
| Series 4 | Solutions 4 |
| Series 5, CSV files | Solutions 5 |
| Series 6 | Solutions 6 |
Previous exams
| Year | Questions | Solutions |
|---|---|---|
| 2015 (Winter) | Questions 2015 | Solutions 2015 |