Data Analytics with Python Python for Data Scientists

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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