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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.

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African Center of Excellence in Data Science(ACE-DS)

Head Office:UR College of Business & Economics

E-mail:   aceds@ur.ac.rw

Phone:(+250) 788484421