Data Analytics in Organisations and Business
Autumn semester 2022
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 I | |
| Week 3 | Framing the Analytics Problem I | |
| Week 4 | Framing the Analytics Problem II | |
| Week 5 | Data I | |
| Week 6 | Data II | |
| Week 7 | Data III | |
| Week 8 | Data IV / Problem Solving Approaches I | |
| Week 9 | Problem Solving Approaches II | |
| Week 10 | Problem Solving Approaches III | |
| Week 11 | Identification of Model Structure | |
| Week 12 | Responsible AI | |
| Week 13/14 | The Deployment of a Model Model Lifecycle Operating Models and Roles Soft Skills |
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, Series 5 Data | Solutions 5 |
| Series 6 | Solutions 6 |
Previous exams
| Year | Questions | Solutions |
|---|---|---|
| 2015 (Winter) | Questions 2015 | Solutions 2015 |
| 2017 (Summer) | Questions 2017 | Not available* |