Modern Tools and Applications of Data Science

This course is dedicated to conveying a sense of how to structure analytic projects systematically, from understanding of the business problem over modelling up to model assessment and communication of the project's results (or a project proposal) to a client. The course introduces such a structure with an applied, step-by-step introduction that mixes theory and practical, hands-on implementation tasks (using programming in R). The course also comprises an introduction to visualisation techniques and creation of interative charts, maps and dashboards with Tableau.

Whilst several fundamental data science techniques are introduced, explained and worked with, we do mainly focus on the overall analytic project process. Ultimately, this will also help to evaluate project pitches from a client’s perspective.

• Ability to structure analytic projects
• Ability to evaluate proposals for analytic projects
• Ability to deliver effective pitches for analytic projects
• Ability to effectively report analytic results to managers
• Ability to design interactive visualizations and dashboards

Group presentation: 35%

Exam: 50%