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.
The goal of this course is to give the students the understanding of the data analytics process in the business world, with special focus on the skills and techniques used besides the technical skills. The student will become familiar with the "business language", current problems and thinking in organisations and business and tools used.
September 10th, 2016:
Beginning of lecture: Wednesday, 21/09/2016. Exercise classes start on 28/09/2016 at 17:15 in HG D 7.1.
Last year's lecture notes are available here .
|Week 2||Framing the business problem|
|Week 3||Framing the analytics problem|
|Week 4||Data 1||Introduction to R|
|Week 5||Data 2|
|Week 7||Data 3|
|Week 8||Identification of helpful approaches and tools 1|
|Week 9||Identification of helpful approaches and tools 2|
|Week 11||Identification of helpful approaches and tools 3|
|Week 12||How to set up and validate models|
|Week 13||The deployment of a model|
|Week 14||Soft skills|
Series and solutions
The series' solutions can be handed in at the lecture of the designated date. You can also submit your solutions to Isabelle by email. It is not required to submit your solutions.
|Series 1||Solutions 1||October 5, 2016|
|Series 2||Solutions 2||October 19, 2016|
|Series 3||Solutions 3||November 2, 2016|
|Series 4||Solutions 4||November 16, 2016|
|Series 5||Solutions 5||November 30, 2016|
|Series 6||Solutions 6||December 14, 2016|