Programming with Python

Write effective Python code for solving complex business problems
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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.

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 Attend?

This online program is designed for anyone who is interested in acquiring programming skills in Python. No prior programming knowledge is required.

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...

LP - CMU-PRPY - Program Faculty 2 - Image
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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