Data Analytics in Organisations and Business
Autumn semester 2017
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
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September 1st, 2017:
Beginning of lecture: Friday, 22/09/2017. Exercise classes start on 29/09/2017.
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 | Framing the analytics problem III | |
| Week 9 | Sentiment Analysis | |
| Week 10 | Problem Solving Approaches I | |
| Week 11 | Problem Solving Approaches II | |
| Week 12 | Prescriptive Methods | |
| Week 13 | Selection of Software Tools | |
| Week 14 | Deployment, model lifecycle, 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, R files | Solutions 4 |
| Series 5, R files | Solutions 5 |
| Series 6 | Solutions 6 |