Upgrade your teams data skills with Python

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Organisations trusting us their employees

Still using manual spreadsheets?

Basic programming is key to future-proof people and organisations.

  • Data Analysis is a foundational skill

    Everyone's productivity would benefit from learning how to analyse data at scale and automate reporting.

  • Python is a beginner-friendly language

    Python is one of the most in-demand programming languages and between the easiest to start using.

  • Technical workers are earning more

    Peers with a more technical skillset are getting a bump on their salary and a faster career progression.

  • The right course to get into coding

    It's difficult to find a course that offers the flexibility, hands-on experience & real-world challenges we offer.

Python for non-programmers

Specially designed for those who have never programmed in Python before.

Including topics such as variables, data structures, functions, flow control and object-oriented programming, participants will get to know the fundamentals of Python programming.

  • +40 hours
  • Part-time for 5 weeks
  • 10h/week 
  • No prior knowledge needed
  • Fully online with live sessions
  • Work on real-world projects
  • Access to our community
  • Certificate of completion
Frame 800

Crafted by data experts with experience in Top Companies

What you will learn

You will be guided through 4 missions where participants will learn Python fundamentals. 

A new way to learn

Miles model allow you to learn based on collaborative weekly challenges freeing you up from one-sided classes or instructors.

  • Weekly Missions

    Every week you get a Mission with instructions and tasks to complete.

  • Collaborative work

    In every mission you will work and share doubts with your colleagues to proceed.

  • Live Sessions

    There'll be 2 online live sessions per week with your colleagues and our team.

  • Feedback from peers

    Get feedback from your peers and improve your learning methods.

  • Quizzes

    During key missions you will understand how well did you retain key information.

  • Capstone Project

    1-month project to apply all learnings, as if you were part of a data team.

  • No typical classes

    Gamified hands-on tasks w/out the boring one-sided classes and instructors.

What's a typical week

Each mission tend to take 1 week and follow the following sequence of events.

Monday - Get access to the mission

Start the week by finding more about your weekly mission: activities to complete, instructions, support materials, etc.

Monday - Live session 19h to 20h30

Come to the live session to review the scope of the mission and start working with your colleagues on solving it.

Tuesday to Thursday - Work on the mission

Try to complete each activity by following instructions and working online with your peers. List all your doubts.

Thursday - Live session 19h to 20h30

Come to the 2nd live session of the week to share your doubts and advance on completing the mission with your colleagues.

Friday to Sunday - Complete and submit

Finish all the activities and submit your work. Fill in the quizz. Review your colleagues work and get feedback about yours.

Advance to the next mission...

Hear it from our alumni

Sérgio Carmo, Cardiac Nurse | Alumni, Python 2nd Ed.

"The Miles learning method is unique due to its missions which allow us to solve real and challenging problems, and the peer-to-peer method that leads us to contribute to the learning path of each other."

Francisco Duarte, Web Development TA | Alumni Python 1st Ed.

"It was one of the most valuable learning experiences I’ve ever done. Learning Python and Analytics from scratch based on intuition was way easier and motivating."

Jorge Santos, Program Manager | Alumni Python 1st Ed.

“Amazing experience. Excellent network and dynamics with community managers supported by a platform with valuable educational content.”

Supercharge your teams with data analysis skills through Python.