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Python Programming Python Programming

Python Programming

Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications.

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‣ Modern analysts need to work with ever-larger data sets to drive business decisions and Excel has its limitations. 

‣ In this training, learn to use Python to build your Level 1 Data Skills and work more effectively with data and data teams.


‣ This is a beginner-friendly programme with no prerequisites, although some students may have coded previously. 

‣ First-time programmers will have access to pre-course preparatory lessons and additional resources to boost their confidence with key concepts and set up their developer environments.


‣ Analysts who want to work with larger datasets.

‣ Managers who need to work with technical teams and want to more effectively communicate and empathise with them.

‣ Data scientists who have quantitative skills and want to learn Python.


‣ Level 1 Data Skills: Wrangle, explore, model, and communicate the results of an analysis with Python and pandas.

‣ Apply your skills to a final analytics project.

Hundreds of Premier Companies Trust GA's Tech Programmes to Train Their Teams — Here Are Just a Few

Course Outline

Unit 1: Programming and Python Basics
  • Learn programming fundamentals and Python basics, including variables, booleans, numerical operators, string concatenation, logical comparison, functions, and control flow.

Unit 2: Intermediate Topics
  • Learn about common data structures, classes and inheritance, debugging principles, file I/O, accepting user input, regular expressions, code abstraction, modules and libraries

Unit 3: Pandas and Data Science
  • Use Python for advanced analytics: Pandas DataFrames and series, common procedures and best practices when “cleaning” data using Pandas, data visualisation, plotting with Pandas, data workflow and terminology.

Unit 4: Final Project
  • A summary lab which ties together all concepts learned throughout the course. Instructors are available, but each student will decide how to implement their own application.

Inside Our Best-in-Class Curriculum

Real-World Portfolio Projects

Graduate with a polished capstone project: A custom application built from scratch. Depending on the focus of your cohort, you’ll either manipulate and visualise data with Pandas or else integrate APIs into a web app with Flask.

Individualised Instructor Support

Get guidance, feedback, and more from experts who are dedicated to supporting your learning and career goals. Get individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA's dedicated team. 

Global Network of 100K+ Alumni

Create connections with peers that last well beyond your time in the classroom. As part of the GA alumni community, you’ll gain access to networking events and workshops to keep evolving your career for years to come.

Elite Instructors

These Python experts bring in-depth experience from the field to the classroom each day, providing invaluable insights into succeeding on the job. 

GA instructors* are committed to providing personalised feedback and support to help you gain confidence with key concepts and tools.

*GA instructors are subject to their availability

Frequently Asked Questions

Why are Python programming skills relevant today?

The future is bright for programmers who know Python — it’s a baseline skill for high-growth industries like analytics, artificial intelligence, cybersecurity, and data science, which was recently named the No. 1 most promising job by LinkedIn.

It’s also incredibly accessible. Thanks to its versatility and intuitive syntax, Python is one of the easiest programming languages to learn on the market — a good choice for beginners to the world of programming.

What are the professional backgrounds of Python programming students?

Python Programming is our best entry-level course for professionals looking to gain a foundation in programming to kickstart a move into tech or data. You’ll find a diverse range of students in the classroom including:

  • New programmers who want to get up and running quickly with an object-oriented language.

  • Graduates of our Data Analytics course who enjoyed the programming aspects of Excel and SQL.

  • Anyone considering further study in our Data Science or Data Science Immersive programmes, which require a strong foundation in Python programming.

Regardless of their backgrounds, this programme attracts students that want to know how to code a prototype, make sense of documentation, and continue honing their Python skills independently.

Will I earn a certificate?

Yes! Upon passing this course, you will receive a signed certificate of completion. Thousands of GA alumni use their course certificate to demonstrate skills to employers and their LinkedIn networks. GA’s technology training courses are well-regarded by many top employers, who contribute to our curriculum and use our programmes to train their own teams.

What does my tuition cover?

Here are just some of the benefits you can expect as a GA student:

  • 40 hours of expert instruction from a Python practitioner, plus many more spent tackling homework, honing projects, and getting technical support in office hours.
  • Robust coursework, including expert-vetted lesson decks, project toolkits, and more. Refresh and refine your knowledge throughout your professional journey as needed.
  • A web programming or data science specialisation track, which your instructor will select based on class interest and local job market demand.
  • A real-world project where you’ll develop a custom web or data application from scratch.
  • Individual feedback and guidance from instructors and TAs. Stay motivated and make the most of your experience with the help of GA’s dedicated team.
  • Exclusive access to alumni discounts, networking events, and career workshops.
  • A GA course certificate to showcase your new skill set on LinkedIn.
  • Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the field.
Who teaches this course?

Our instructors represent the best and brightest Python programming and software engineering experts who have worked for companies like Etsy, Zendrive, and They combine in-depth knowledge as practitioners with a passion for nurturing the next generation of talent.

We work with a large pool of experienced instructors around the world.

Are there any prerequisites?

This is a beginner-friendly programme with no prerequisites, although some students may have coded previously. First-time programmers will have access to pre-course preparatory lessons and additional resources to boost their confidence with key concepts and set up their developer environments.

Can I work full-time while enrolled in this course?

Yes! All of our part-time courses are designed for busy professionals with full-time work commitments. 

You will be expected to spend time working on homework and projects outside of class hours each week, but the workload is designed to be manageable with a full-time job.

If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Which format should I take this course in — on campus or online?

It’s up to you! Our Remote course offers a learning experience that mirrors GA’s on-campus offerings but allows you to learn Python from the comfort of home. You’ll still get access to the expert instruction, learning resources, and support network that GA is known for.

If you prefer to learn Python alongside your peers and can make it to campus, our in-person courses allow you to take advantage of our beautiful classrooms and workspaces.

Our Admissions team can advise you on the best format for your personal circumstances and learning style.

What projects will I work on during the course?

For your capstone project, you’ll apply what you’ve learned throughout the course to build a polished, portfolio-ready web or data application. Showcase your skills by creating a custom app that pulls in third-party data with Pandas or integrates functionality from APIs with Flask, depending on the focus of your cohort.

We encourage you to tackle a problem that’s related to your work or a passion project you’ve been meaning to carve out time for.

Throughout the course, you’ll also complete a number of smaller projects designed to reinforce what you’ve learned in each unit.