Course Outline


  • Free and General Purpose vs Not Free or General Purpose

Setting up a Python Development Environment for Data Science

The Power of Matlab for Numerical Problem Solving

Python Libraries and Packages for Numerical Problem Solving and Data Analysis

Hands-on Practice with Python Syntax

Importing Data into Python

Matrix Manipulation

Math Operations

Visualizing Data

Converting an Existing Matlab Application to Python

Common Pitfalls when Transitioning to Python

Calling Matlab from within Python and Vice Versa

Python Wrappers for Providing a Matlab-like Interface

Summary and Conclusion


  • Experience with Matlab programming.


  • Data scientists
  • Developers
  14 Hours


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