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  1. Courses
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  3. Python Foundations, Tools & Techniques

Python Foundations, Tools & Techniques

This Python course prepares teaches the fundamentals of Python. It shows how to interact with Python, the common data structures, looping, classes, exceptions, file handling, environments and more.

Matt Harrison
Matt Harrison
Data Science | core | 2 hours 15 minutes |   Published: Apr 2020
In partnership with:  Coursera

    Discussions

Overview

2KSTUDENTS*
95.9%RECOMMEND*

This course includes:

  • 3 hours on-demand video
  • Many downloadable resources
  • Full lifetime access
  • Certificate of completion
This Python course prepares teaches the fundamentals of Python. It shows how to interact with Python, the common data structures, looping, classes, exceptions, file handling, environments and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python expert and author. Following this course students will be able to leverage their skills with Python to build web backends, create GUI applications, do machine learning, and control cloud environments. Most developers don't know what they don't know. Fill in the knowledge gaps and understand how Python works under the covers. You might have programmed in Python before, but you will come out of this class grokking the syntax, and what the syntax abstracts underneath. We will show how to install Python, use the REPL, and understand errors that might pop up. This class has unique self-correcting labs to ensure that students are mastering the subject. This is Module#3

Skills You Will Gain

Python Dictionaries
Python Sequences
Python Conditionals

Learning Outcomes (At the end of this program you will be able to)

  • Understand the object model of Python
  •  Leverage the REPL
  •  Master math with Python
  •  Understand Unicode and string manipulation
  •  Use conditionals and loops
  •  Master the basic data structures like lists and
  • dictionaries
  •  Create functions to enable code reuse
  •  Learn how to slice sequences
  •  Understand how to create and leverage classes
  •  Learn about exceptions and exception handling
  •  Create environments and load libraries

Prerequisites

  • Basic computer knowledge is assumed
  •  Prior programming experience is nice but not required

Who Should Attend

  • New Python developers looking to quickly develop and keen understanding of the power of Python
  •  Early stage users of Python who need to master how Python really works
  • Individuals who are familiar with data science and need to understand Python

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Welcome to the course!
2Module 1
3Module 2
4Module 3
5Module 4
6Module 5
7Labs

Module 1- Getting Started with Python – Installation, REPL, and Variables

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Module 2- Python Objects, Math, and Text (Unicode)

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About this course: Overview, Learning Outcomes, Who Should Enroll...

Instructor bio - Matt Harrison

Module 5 - Python Libraries, Environments, and Wrap-up

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Matt Harrison

Matt Harrison

Matt is a seasoned Python and Data Science expert with over a decade of experience, known for his passion for making complex programming and data analysis concepts accessible and engaging. A Stanford University graduate with a background in Computer Science, Matt has applied his skills across a wide range of domains—from building predictive models that classify job postings to developing scalable systems using AWS and Docker.

Matt’s expertise spans machine learning, natural language processing, web application development, and beyond. He has a proven track record of translating technical depth into impactful educational experiences. As an instructor, he has designed and delivered high-impact courses such as Python for Finance and Essentials of Stats with Python, enabling learners to grasp both the theoretical foundations and practical applications of programming and data science.

A strong advocate for critical thinking and problem-solving, Matt creates inclusive learning environments where students from all backgrounds can thrive. His dedication to education extends to the global stage, where he regularly speaks at conferences like PyCon and SciPy and contributes to leading platforms including O’Reilly Media and Pluralsight.

With a teaching philosophy grounded in authenticity and real-world relevance, Matt is committed to empowering the next generation of data scientists and programmers—bridging the gap between theory and application, and inspiring learners to unlock the full potential of Python and data science.

VIEW MY CHANNEL

Module 3 - Python Conditionals, Sequences, Iteration, and Dictionaries

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Module 4 - Python Functions, Slicing, and Files

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Overview

Instructions: Using Jupyter Notebooks

Instructions: Virtual labs (For Colaboratory)

Labs: Module 1

Labs: Module 2

Labs: Module 3

Labs: Module 4