Python has become a powerful language and environment for performing data science.   It combines a robust, object-oriented language with a powerful library of data science packages, such as numpy, scipy, matlibplot, scikit-learn, and pandas.  These tools together make python one of the best combinations of robust programming language together with great library support.

What you will learn:

  • Quick Python primer
  • Quick primer on data science algorithms
  • NumPy
  • SciPy
  • Pandas
  • Scikit-learn


  • Experience and background in software development.  Helpful to have some background in analytics or machine learning.
  • Some background in Python highly recommended though a brief intro is included.

Course Outline: Please download PDF[sc:pdficon ]

Who should attend:

Data Analysts, Data Scientists, Developers

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