This is the repository for the "Introduction to Data Science" course. This collection includes assignments that explore fundamental concepts in data science. The course encompasses a wide array of topics crucial for understanding data and its applications.
- Foundations of Data Science
- Basics of data science
- Computational tools for data analysis
- Data visualization techniques
- Data Collection and Processing
- Web scraping for data acquisition
- Social network data analysis
- Text as data and text mining techniques
- Network analysis and visualization
- Geographic information systems (GIS)
- Techniques for interactive data visualization
- Related databases and their application in data science
The assignments are implemented in Python 3 and a combination of tools conducive to data analysis. Jupyter Notebook is utilized for code implementation.
These assignments serve as personal solutions and learning exercises for the course. They are not official documentation, but they can provide valuable insights into data science methodologies and applications.