Infomation about CM Data Science

Module Content

• Managing large data sets
• Visualisation methods
• Data pre-processing/feature engineering
• Introduction to statistical learning
• Model evaluation and model explainability

 

Learning Objektives

Students ...

• know and understand common methods in Data Science and Econometrics.
• use methods in pre-structured contexts in a solution-oriented way in Data Science and Econometrics.
• communicate continuously and purposefully within teaching and learning groups.
• develop an understanding of the impact of decisions that take into account environmental, economic, social or ethical criteria.
• design their learning and working processes independently.
• reflect their own performance and implement feedback constructively.