Deutsch Intern
    Lehrstuhl für Wirtschaftsinformatik und Informationsmanagement

    Course: Practical Data Science (Master)

    For exchange students: The language of this course is English.

    Contents & Objectives

    • The foundations, frameworks and applications of the emerging field of data science
    • Design, implement and evaluate the core algorithms underlying an end-to-end data science workflow, including data import, analysis and presentation of information
    • Leverage Jupyter Notebook application and data infrastructure that supports data acquisition, storage, retrieval and analysis
    • Application of a data-based analytical approach to identify and solve problems
    • Implementation and execution skills for data-driven Business Analytics

    Course Structure

    1. Basics 
    2. Exploratory Data Analysis
    3. Recap: Machine Learning
    4. Modeling
    5. Feature Engineering
    6. Ensembling


    Lecture and exercise:

    Tuesday, 10.00 – 12:00, Room 409 (Neue Universität)
    First appointment: tba

    Supporting material on WueCampus:

    • Jupyter Notebooks
    • Data sets and assignments
    • Submission of solutions


    Group project