Data Analytics in Organisations and Business

Autumn semester 2016

General information

Lecturer Isabelle Flueckiger
Assistants Shu Li
Lectures Wednesday 15-17 HG D 7.1 >>
Exercises Every second Wednesday 17-19 HG D 7.1 >>
Course catalogue data >>

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.

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.

Announcements

  • 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.

Course materials

Last year's lecture notes are available here .

Week Topic Material
Week 1 Introduction
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

Exercise classes

Exercise classes are held every second week. Last year's exam and its solution can be found here and here.

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.

Exercises Solutions Due date
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