Data Science at HECTOR School

Overview

The first complex of topics of the Data Science at HECTOR School course offered by the Karlsruhe Institute of Technology (KIT) deals with the question, how company data can be aggregated and analyzed, and which data need to be collected to reliably forecast and determine the economic success of projects, measures and strategies?

The second complex of topics focuses on how new business models can be developed by the investigation and transformation of company, customer, and external data, and how customer behavior can be modeled and analyzed. The third complex of topics finally concentrates on the generation of an according infrastructure within the company on a technical as well as organizational level.

Learning Targets

The participants will:

• understand the productive integration, transformation, and analysis of big and complex data as a central task of modern operational information systems;

• be able to analyze & optimize analytical processes across functional operational units within a company;

• possess analytical methods for the preprocessing, reduction and projection of company data and can align products, services and processes targeted according to strategic specifications and/or customer and market requirements;

• know basic techniques and tools for data access and models, as how they are applied for analytical purposes for reports and data visualization;

• know options for interacting when screening and interpreting data, like they are used in modern business intelligence systems.