Hero image

Embrace Python

3 Weeks

·

Cohort-based Course

Master the fundamentals of the Python programming language and learn to create web apps, analyse data, and even develop games.

Hosted by

Jeroen Janssens, PhD

Course overview

Embrace Python

Use this space to highlight the transformation students will go through in your course. What can your course do for them?

Who is this course for

01

You have experience with Excel or R and are curious how Python can help you

02

You’ve been using Python for a while but want a better understanding of the fundamental concepts

03

You want to switch careers into tech.

Key outcomes

Use topics to give an overview of the course material

Give students an idea of what they can expect to learn in the course while still preserving a bit of mystery/curiosity.

Use topics to give an overview of the course material

Give students an idea of what they can expect to learn in the course while still preserving a bit of mystery/curiosity.

Use topics to give an overview of the course material

Give students an idea of what they can expect to learn in the course while still preserving a bit of mystery/curiosity.

Use topics to give an overview of the course material

Give students an idea of what they can expect to learn in the course while still preserving a bit of mystery/curiosity.

See what people are saying

        I was still using spreadsheets to clean, analyse, and model data. Thanks to Jeroen, who delivered an engaging, hands-on workshop, I have switched to Python, which allows my analyses to be much more advanced and reliable.
Stijn de Jong

Stijn de Jong

Senior Advisor Water Supply at Brabant Water
        Jeroen is extremely knowledgable; he was able to balance a class of development and non-development participants and still got practical results from everyone. We covered a wide range of topics related to Python.
Muyiwa Felixson-Yusuf

Muyiwa Felixson-Yusuf

Team Lead UI/UX Developer at eHealth Africa
        Jeroen could improvise around our specific learning needs and thus offer exactly what we wanted to learn without making it too difficult. Also, it was really useful to see what different solutions there were for an exercise, and what was and wasn’t “good” about it—that’s exactly something which is difficult to pick up with self-study.
Floor Buschenhenke

Floor Buschenhenke

PhD Candidate at Huygens ING (KNAW)
        Jeroen is a great coach. Because he is able to tailor the course to the business challenges of the participants, the learning curve goes straight up! Jeroen quickly switches to the knowledge level of the participants, so that everyone is guided in a tailored manner.
Bauke Visser

Bauke Visser

Senior Credit Data Consultant at ABN AMRO Bank N.V.
        Jeroen knows how to convey complex information in an understandable way and combines theory with hands-on assignments in his training courses. That way you can really apply new skills at the end of the day. I can also highly recommend the other courses of Jeroen!”
Marissa Helmich

Marissa Helmich

Senior Data Scientist at Eneco
        Jeroen is very knowledgeable about the subject matter, has great interactive teaching style, great balance between explaining and practicing, includes a lot of hand-on exercises and covers all from low-level to high-level APIs help to understand the logic behind it. Very clear, structured explanations. Highly recommended for beginners and advanced!
Mateusz Wiącek

Mateusz Wiącek

Head Of Training at Textkernel
A pattern of wavy dots
Be the first to know about upcoming cohorts

Embrace Python

Meet your instructor

Jeroen Janssens, PhD

Jeroen Janssens, PhD

👋 Hi there, I'm Jeroen. I'm a data science consultant and certified instructor. My expertise lies in visualizing data, implementing machine learning models, and building software using Python, R, JavaScript, and Bash.


In the past 7 years, I've helped hundreds of developers and researchers embrace Python.


I run Data Science Workshops, a training and coaching firm that helps organizations such as Amazon, eHealth Africa, Schiphol Airport, The New York Times, and T-Mobile to upgrade their skills and knowledge. I hold a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University.

Course syllabus

01

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc vel lectus ridiculus laoreet at tortor porttitor placerat maecenas. Id sed mattis commodo, commodo. Donec tellus libero sapien tristique quis rutrum. Diam, euismod ac, nec vitae nullam pellentesque. Diam purus.

02

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc vel lectus ridiculus laoreet at tortor porttitor placerat maecenas. Id sed mattis commodo, commodo. Donec tellus libero sapien tristique quis rutrum. Diam, euismod ac, nec vitae nullam pellentesque. Diam purus.

03

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc vel lectus ridiculus laoreet at tortor porttitor placerat maecenas. Id sed mattis commodo, commodo. Donec tellus libero sapien tristique quis rutrum. Diam, euismod ac, nec vitae nullam pellentesque. Diam purus.

04

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc vel lectus ridiculus laoreet at tortor porttitor placerat maecenas. Id sed mattis commodo, commodo. Donec tellus libero sapien tristique quis rutrum. Diam, euismod ac, nec vitae nullam pellentesque. Diam purus.

A pattern of wavy dots
Be the first to know about upcoming cohorts

Embrace Python

Learning is better with cohorts

Learning is better with cohorts

Active, not passive

This course focuses on live workshops and hands-on projects

Learn with a cohort of peers

You’ll be learning in public through breakout rooms and an engaged community

Learn with a cohort of peers

Surround yourself with like-minded people who want to grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?

Course schedule

4-6 hours per week
  • Tuesdays & Thursdays

    10:30am PDT / 1:30pm EDT / 7:30pm CEST

    Six core sessions of two hours. These sessions are about the Python language itself, its standard library, and its broader ecosystem. You'll learn about data structures, control flow, functions, modules, and packages.

  • Fridays

    10:30am PDT / 1:30pm EDT / 7:30pm CEST

    Three master classes of two hours. Learn how to apply Python to create web applications, visualize data, and even develop games. Although these sessions are optional, I highly recommend you attend them because they really complement the core sessions.

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots
Be the first to know about upcoming cohorts

Embrace Python