Der Bereich Digitalisierung wird langfristig als weiterer Schwerpunkt des Vereins aufgebaut werden.
Bereits jetzt konnten wir kleinere Projekte realisieren. Im Zeitraum Juni bis November 2022 wurden folgende Kurse angeboten:
Python for Data science
Course instructor: Ehsan Mirzaei (Master of BI & knowledge management)
Data science is becoming an important topic as the amount of data explodes in various fields. There is an increasing need for data analysts to process and analyze this growing amount of available data. Programming languages such as Python provides powerful statistical tools for data analysis. Therefore, knowledge of the programming language is required for various tasks.
The course is designed for intermediate to advanced students, and a basic understanding of data and Python is a plus.
Course content:
1. Data Mining introduction
- Introduction and data mining definition
- Data Science vs Data Mining vs BI
- Data Mining Tasks
- Python (Introduction)
2. Data Understanding and data mining methodology
- Data Understanding & Data type
- Data mining methodology
- Python (Built in function and important library)
3. Data per – processing
- Data import / integration
- Data cleaning
- Missing data
- Data transformation
- Dimension Reduction
- Python (Pandas, Numpy, Sklearn, Matplotlib)
4. Cluster Analysis
- Hierarchical Clustering
- KMeans
5. Association Rule
6. Predictive modeling and classifiers 1
7. Predictive modeling and classifiers 2
8. Predictive modeling and classifiers 3
R for Geospatial analysis
Course instructor: Salim Soltani
Data science is becoming an important topic as the amount of data explodes in various fields. There is an increasing need for data analysts to process and analyze this growing amount of available data. A programming language such as R provides powerful statistical tools for data analysis. Therefore, knowledge of the programming language is required for various tasks.
This course is designed to provide a basic overview of the R environment and the packages required for data processing. This includes basic R functions for data processing as well as packages that deal with data processing such as tidyverse, data analysis (RStoolbox), and data visualization (ggplot).
The focus of the course is on spatial analysis. Since the fundamentals of programming and data are the same in all areas, registration is open to anyone from different fields