Module Title:
Programming for Data Scientists
Module Code:
DSC6133

Module Content

• General programming techniques
• Python environment. Data structures: numbers, strings, lists, tuples, dictionaries. Basic language elements: loops, conditions, functions. Modules. Input and Output. Debugging. Machine learning and data mining in Python.
• The NumPy package for scientific computing
• The pandas data analysis library, including reading and writing of CSV files
• The IPython and PyDev development environments
• The Seaborn and Matplotlib 2D plotting library(drawing attractive statistical graphics and visualizations)
• Language concepts of R: variables, vectors, matrices, data frames
• R environment
• Data manipulations.
• Importing data from text and spreadsheet files.
• Using external R packages.