This paper will be based on theory paper DAC 331. Students will be able to apply and practice the concepts of Data mining.
 
The practical covers the following topics:
- Review of Python
 - Overview of Python tools for Data Analysis
 - Python has for data cleaning and processing -- pandas
 - Data exploration & analysis libraries for Data Science: Pandas, Numpy
 - Open-source software for mathematics, science, and engineering: SciPy
 - Data visualization/ plotting library: Matplotlib
 - Machine learning library: scikit-learn