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Seminar for Statistics
 
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Data Analytics in Organisations and Business

Lecturer Isabelle Fl├╝ckiger Time Wed 15-17
Wed 17-19 (every other week)
Assistants Gian Thanei
Sylvain Robert
Place HG D 7.1

Announcements

Beginning of lecture: Wednesday, 16th of September.
Beginning of exercises: 23rd of September.
Lecture notes: coming soon.

Lecture notes

Chapter 1-2

Slides

Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14

Exercises

Series 1
Series 2
Series 3 R-code: Get_Sentiment_Functionality.R Sample_Text_on_Coke_Life.R
Series 4 R-code: TextMiner.R Data: 1.txt; 2.txt
Series 5 Data: RainData.csv; TempData.csv ; WeatherOtherData.csv; PowerData_2010.csv Help: Short Intro to Python
Series 6

Solutions

Series 1 Solution
Series 2 Solution
Series 3 Solution
Series 4 Solution
Series 5 Solution
Series 6 Solution

Description

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.

 

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© 2016 Mathematics Department | Imprint | Disclaimer | 16 December 2015
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