Data Analytics with Python Python for Data Scientists

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PT15155
Summary
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.
Prerequisites
This course is designed for 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.
Duration
3 Days/Lecture &B Lab
Audience
This course is designed for Data Analysts, Data Scientists, and Developers.
Topics
Quick Python primer
  • Quick primer on data science algorithms
  • NumPy
  • SciPy
  • Pandas
  • Scikit-learn

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