DATA SCIENCE TOOLBOX

Name: DATA SCIENCE TOOLBOX
Availability: OutOfStock

This course introduces participants to the world of data science and the handling and use of data. In an increasingly data-driven world, organisations have access to a wealth of data that can be used to make better make better decisions and develop innovative solutions. Data Science enables us to understand, process and analyse this data, to gain useful insights and make predictions. This course is explicitly not only about the analysis of given data, but also about the planning of data science projects from the ground up and therefore addresses different methods for obtaining data. Theoretical content in the course is always accompanied by hands-on applications in R. In addition, some useful web services are included.

Learning goals

The course teaches a wide range of data analysis and visualization techniques. Participants learn different machine learning techniques and understand how to apply statistical models and analyse data in an exploratory way. After successfully completing the course, participants will be able to apply the methods taught along the information life cycle and thus implement their own data-based research projects. The course includes different approaches of data collection, data analysis up to techniques of data visualisation. The course also teaches basic and applied statistics and programming skills.

Content

Web scraping
Experiment design and implementation
Basics of data processing in R
Regression analysis and interaction effects
Network analysis
Machine learning
Data visualisation

The content is supplemented and tested using case studies and real data examples.

Target group

The course is aimed at university graduates from all disciplines.

This course is recognized as Bildungszeit according to paragraph § 10 (5) of the Berliner Bildungszeitgesetz (BiZeitG).