This repository refers to the Applied Data Science module at the University of Würzburg. In this course the handling of data analysis and visualization with R is introduced.
- 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 the R application programming interface (API) ecosystem and data infrastructure that supports data acquisition, storage, retrieval and analysis
- The application of a data-based analytical approach to identify and solve problems
- Implementation and execution skills for data-driven business analytics
- Statistical Programming with R
- Getting Data
- Working with data frames
- Visualization
- Geographic data, geocoding and mapping
- Network Analysis
- Text Mining
- Advanced Machine Learning Topics
- Data Wrangling and Visualization
- Functions in R
- Modelling
- Webscraping