401-4633-00L  Data Analytics in Organisations and Business

SemesterAutumn Semester 2017
LecturersI. Flückiger
Periodicityyearly recurring course
Language of instructionEnglish


401-4633-00 VData Analytics in Organisations and Business
ETH Faculty Retreat on Friday 10 November 2017: No classes after 12 am
2 hrs
Fri14:15-16:00HG G 5 »
I. Flückiger
401-4633-00 UData Analytics in Organisations and Business1 hrs
Fri/2w16:15-18:00HG G 5 »
I. Flückiger

Catalogue data

AbstractOn 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.
ObjectiveThe 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.
ContentFraming the Business Problem
Framing the Analytics Problem
Model Building
Model Lifecycle
Soft Skills for the Statistical/Mathematical Professional
Lecture notesLecture Notes will be available.
Prerequisites / NoticePrerequisites: Basic statistics and probability theory and regression

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits5 credits
ExaminersI. Flückiger
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 120 minutes
Written aidsSummary 10 A4-pages (i.e. 5 sheets)
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Quantitative Finance MasterEconomic Theory for FinanceWInformation
Statistics MasterStatistical and Mathematical CoursesWInformation