Programming with Python

Write effective Python code for solving complex business problems
Inquiring For
Total Work Experience

Key Outcomes

Python’s scope is nearly limitless. Data scientists, engineers, and developers are flocking to Python because it is versatile for applications ranging from web development to data science and from artificial intelligence to cybersecurity. In this program, you will learn the essentials of Python coding*:

  • Identify, interpret, and apply core programming building blocks in Python code

  • Use algorithmic thinking to break up problems into smaller pieces and solve each piece individually

  • Recognize and apply best industry practices for programming

  • Interpret, use, and build on existing code and Python libraries

*Note: No prior programming knowledge is required.

Program Modules

Designed as an online program focused on writing code using common structures in the Python programming language, content is shared via recorded faculty videos and live office hours with learning facilitators.

Capstone Project

As part of the capstone project, you will choose from one of three project options that use Python code to accomplish tasks in different domains.

  • Linguistic Analysis of Text: Build and test your own language model to analyze and mimic the works of famous authors: Hans Christian Andersen and the Brothers Grimm

  • Comparison of DNA: Use data analysis to process and analyze DNA sequences in humans and elephants for the cancer-suppressing p53 gene

  • Data Analysis of Social Media Posts: Analyze a data set that maps social media posts to collect information about the text's bias, partisanship, and message intent

These hands-on projects demonstrate Python's versatility and help you build practical, problem-solving skills.

Simulation Exercises

Hands-on practice is a core part of the program. Every new concept taught is paired with guided practice, allowing you to apply new techniques and learn in a live coding environment. Throughout the program, you will gain practical coding experience using Codio, an interactive platform designed for effortless technical learning. All practice exercises, from basic techniques to the final capstone project, are completed in Codio. You can write, test, and debug Python code directly on your browser and receive auto-graded assessments, instant feedback, and instructional tools to help you through exercises.

Program Experience

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Office Hours with Learning Facilitators

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Demonstrations

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Coding Exercises in Each Module

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Bite-Sized Learning

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Knowledge Checks

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Dedicated Program Support Team

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Mobile Learning App

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Peer Discussion

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Capstone Project

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Bonus Content on Advanced Topics

Why Python?

Python is a good starting point for first-time coders. It uses simple, natural language syntax, almost like spoken English. It is powerful and it is versatile, favored by such diverse industry giants as Netflix, PayPal, NASA, Disney, and Dropbox. Python is used by 87% of data scientists.

  • User-Friendly Syntax: As an interpreted language, Python has simpler, more concise syntax than Java. Python's simple, concise syntax makes it easy to write algorithms with just a few lines of code

  • Open-Source Libraries: Pre-written code is readily available, with algorithms at your disposal, so you do not have to start every project from scratch. You can benefit from highly specific libraries – physics, web development, gaming, machine learning – by simply importing algorithms and applying them to your own data. It is plug and play at its best, with new functionalities being added all the time

  • Community Exchanges: Python’s popularity means it has great community support, with almost 8 million Python developers across the world to help you debug or resolve a programming challenge

  • Compatibility: Python is a cross-platform language and can be integrated easily with Windows and other platforms

  • Adaptability: Almost every field is adopting Python and needs both generalists and specialists who know how to use it. Fields as varied as gaming, web development, healthcare, and fintech prefer Python over other programming languages, making it the must-learn language for STEM professionals and data scientists

sources: generalassemb.ly

Who Should Enroll?

This online program is designed for anyone interested in acquiring a basic understanding of Python programming. No prior programming knowledge is required. The program is particularly suitable for:

  • Early-career IT professionals who need structured training in Python programming to write efficient Python code, grow into more technical roles, and stay competitive in a technology-driven job market

  • Professionals from non-IT backgrounds who are working in digital or tech-enabled environments who want to learn Python to streamline tasks, automate workflows, and build digital tools that support their core functions

  • Individuals returning to the workforce, such as military veterans or professionals resuming their careers after a break, who want to gain new, marketable skills in a language widely used in software development, data science, and machine learning

  • Self-taught or informally trained programmers who have basic familiarity with coding and are now seeking structured, formal training in Python programming to support independent projects, process automation, or digital solution development

  • Professionals from non-technical roles who want to explore coding as a strategic advantage — whether to prototype new ideas, improve decision making through technical fluency, or simply stay ahead in a digital-first economy

  • High school and college students from both computer science and non-computer science backgrounds who want to build a strong foundation in Python 

Participant Testimonials

"What I loved most was how the concepts were taught gradually, piece by piece, while working directly with real code. It began with basic building blocks such as lists, with more advanced techniques s...
Jerico Yaya
Systems Engineer
New York Life Insurance Company
"The assignments and bonus assignments were well designed to deliver ample practice in the basics. Most other programs that I tried did not start at the basics and assumed some comfort level with the ...
Roger Thompson
US Army
"The best part of this Python training program was the exercises, assignments, and projects. They gave me practical experience in working with real-world problems, allowing me to apply theoretical con...
Furkan Budak
Setur-KOC
"The program material was very well written and conveyed, in a sequence that was optimal. The video lectures and try-it exercises were well done. The tutor was very effective in reinforcing the materi...
Richard B. Horton
Managing Director, Systems Engineering and Data Security
Duquesne Fund Services LLC

Program Faculty

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Kelly Rivers

Assistant Teaching Professor, School of Computer Science, Carnegie Mellon University

An assistant teaching professor in the School of Computer Science, Kelly Rivers teaches introductory programming, including the “Principles of Computing,” “Fundamentals of Pro...

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Anil Ada

Associate Teaching Professor, School of Computer Science, Carnegie Mellon University

Anil Ada is an expert in theoretical computer science, teaching “Fundamentals of Programming and Computer Science” and “Great Ideas in Theoretical Computer Science” as an asso...

Certificate

Certificate

Upon successful completion of the program, participants will receive a verified digital certificate of completion from Carnegie Mellon University’s School of Computer Science Executive Education. This is a training program and it is not eligible for academic credit.

Your digital certificate will be issued in your legal name and emailed to you at no additional cost, upon completion of the program, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Carnegie Mellon University’s School of Computer Science Executive Education.

The Carnegie Mellon School of Computer Science Executive Education learning experience

At Carnegie Mellon’s Executive Education Program in the School of Computer Science, we provide organizations and people access to the skills and tools necessary to solve real world technical problems by equipping the next generation of technology leaders with the experience, insights and novel solutions developed by our community of computer science experts. From custom training programs to online individualized learning, our cutting-edge programming — backed by faculty who pioneered the field — takes your skillset to the next level, giving you the tools to tackle your company’s next great technological challenge.

FAQs

Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 756 3771 (US) / +44 203 835 5826 (UK) / +65 3138 2533 (SG)

Early Registrations Are Encouraged. Seats Fill Up Quickly!

Flexible payment options available.

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