|
Lecturer | Isabelle Flückiger | Time |
Wed 15-17 Wed 17-19 (every other week) |
Assistants |
Gian Thanei Sylvain Robert |
Place | HG D 7.1 |
Beginning of lecture: Wednesday, 16th of September.
Beginning of exercises: 23rd of September.
Lecture notes: coming soon.
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
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
Series 1 Solution
Series 2 Solution
Series 3 Solution
Series 4 Solution
Series 5 Solution
Series 6 Solution
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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