Python - Introduction

Python is a dynamic, strongly typed, object-oriented, multipurpose scripting language for the web. In this hands-on course students first learn the basics of writing and running Python scripts and then move into more advanced topics like file operations, regular expressions, working with binary data, and how to use Python modules. Topics include basic Python language components, the IDLE environment, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions.

Python - Advanced

In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as: IPython Notebook; the Collections module; mapping and filtering; lamba functions; advanced sorting; working with regular expressions; working with databases, CSV files, JSON and XML; writing object-oriented code; testing and debugging; and learning about Unicode and text encoding. This advanced Python course is taught using Python 3, however, differences between Python 2 and Python 3 are noted.

Python Programming for Data Analysis

This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Students will learn to use NumPy to work with arrays and matrices of numbers; learn to work with pandas to analyze data; and learn to work with matplotlib from within pandas. 

If you are interested in enrolling in the entire certificate, visit this page: PYT.PRO: Python Programming Certificate

Hours and CEU

48 Hours | 4.8 CEU

Additional Details


Minimum Required

48 Hour(s)

Students can either enroll in the entire certificate by selecting PYT.PRO: Python Programming Certificate or they can enroll separately in PYT100, PYT200, PYT300.