Fundamentals of Data Science

Degree programs: MSc Business Analytics and Data Science, MSc Logistics & SCM, MSc International Management

In this module, students will be equipped with the skills and knowledge necessary to excel in the dynamic field of data science. This module covers a wide range of topics, blending theoretical foundations with hands-on practical experience. Students will delve into various stages of the data science lifecycle, from data collection and preprocessing to advanced analysis and visualization. Key components of the module include: foundational concepts, data preparation, machine learning, deep learning, and natural language processing.

 

On successful completion of this module, the students will be able to:

• collect, clean, preprocess, and analyze diverse datasets using a range of different data science techniques.

• understand and apply various machine learning algorithms, enabling them to build, evaluate, and optimize predictive models for diverse applications

• analyze textual data using NLP techniques, e.g. for tasks like sentiment analysis, text classification, and language generation.

Course facts

Offered byProf. Dr. Henrik Leopold
ECTS credits5 Credit Points
Tracks Standard Track, Fast Track
Method of examination100% Project Work

Back