Course 04: Use of Data Analytics in Research (optional)
Modules Aim
- This module focuses on data analytics.
- You will learn how to use data analytics in your particular research area.
- You will learn how to use machine learning or Python and R programming for the analysis of your research data.
- This module will prepare you for new methods referring to machine learning and generative AI for a new and advanced kind of research.
Content
Use of Data Analytics in Research
- Big Data Analytics Platform: Capture, Preparation. Processing.
- Big Data Analysis: Algorithm, Data Mining, Machine Learning.
- Machine learning and generative AI: Dynamic Optimization and Reinforcement Learning.
- Python and R Programming for Research.
Indicative Module Content
This optional module trains researchers to get an overview of using digital achievements as new research methods for further findings. We will show you how big data analysis, machine learning, and generative AI may replace traditional mathematical methods.
Summary of Course 04
Use of Data Analytics in Research
This optional module trains researchers to get an overview of using digital achievements as new research methods for further findings. We will show you how big data analysis, machine learning, and generative AI may replace traditional mathematical methods.
Course 04 Assessment
Prepare for a 30-minute speech about how to apply a data analytics-driven method of artificial intelligence to solve a scientific problem. Following your speech, you will discuss its content with one or more examiners for about 30 minutes.
Kontakt
zeb.business school
Steinbeis Hochschule
Hammer Straße 165,
D-48153 Münster