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401-4633-00L 5 Credits MSC D-MATH

Data Analytics in Organisations and Business

VVZ CR n/a

Last Updated: 2026-06-03 00:07:57

Abstract

This lecture explores the end-to-end data analytics process for organizations and businesses, guiding through each stage. It explains the necessity of each stage, outlines the actions undertaken, and highlights proven steps successfully applied in practice. It examines potential pitfalls and how to address them. Case studies from various industries will be presented to illustrate each stage.

Objective

This course aims to provide students with a comprehensive understanding of the entire data analytics life cycle within the business world. It highlights the expectations of companies and the metrics used to measure them. The course equips students to successfully manage non-methodological aspects of data analytics projects, which are often the primary sources of failure in end-to-end executions. Additionally, students will become familiar with the 'business language' and the cultural nuances of organizations. The course also offers an overview of the ecosystem of tools, platforms, and methods essential for performing technical data analyses effectively.

Content

1) Introduction 2) Framing the business problem 3) Framing the analytics problem 4) Data 5) Identification of problem-solving approaches and appropriate tools 6) How to set up and validate models 7) The deployment of a model 8) Model lifecycle 9) Operating models and roles 10) Some words about soft skills needed by statistical and mathematical professionals

Resources

Lecture Notes

The lecture's presentation slides will be provided.

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 120 minutes
Aids
Summary 10 A4-pages (i.e. 5 sheets)

Course Components

Type Title Time & Place Hours
lecture Data Analytics in Organisations and Business No time listed 2 h weekly
exercise Data Analytics in Organisations and Business No time listed 1 h weekly

Offered In

  • Statistics Master (The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.)
  • Quantitative Finance Master (see Students in the Joint Degree Master's Programme "Quantitative Finance" must book University of Zurich modules directly at the University of Zurich. Those modules are not listed here.)