Humble Data at PyCon/PyData DE

Learn Python for Data Science in this Beginners’ Day Workshop

Would you like to learn to code but don’t know where to start? Taking your first steps in programming can seem like an impossible task, so we’ve decided to put on a workshop to show beginners how it can be done and share our passion for the world of data science!

“We want our community to be more diverse: whoever you are, and whatever your background, we welcome you.” – Python Software Foundation’s Diversity Statement

We invite those from under-represented groups in data to apply to join us at our Humble Data workshop, a free satellite event associated with PyCon/PyData DE in Berlin on April 21st, 2024. In this workshop, you will learn the basics of programming in Python, as well as how to use tools such as Jupyter notebooks to analyse data. Please note that you do not need a ticket for PyCon/PyData DE to attend this event!

You will be learning in small groups, each with an assigned mentor to guide you through the workshop materials and answer your questions. You can expect plenty of exercises, as well as inspiring talks from those who were once in your shoes.

APPLICATIONS FOR THIS EVENT HAVE NOW CLOSED.

FAQ

WHEN AND WHERE IS THE WORKSHOP?

This event is being held in person at the bcc on April 21st, between 10:30am and 3:30pm. This is the same location as PyCon/PyData DE. Please see this link for more details.

WHO CAN JOIN?

Anyone! While we’re working with the organisers of PyCon/PyData DE to host Humble Data as a satellite event, you will not need a ticket for the conference to attend this workshop.

We do have limited spots, so we will prioritise applicants from underrepresented groups in tech. Applications close on March 29th, 2024, and successful applicants will be informed by April 5th.

WHAT DO I NEED TO BRING?

You will need a computer which is able to connect to the internet.

WHAT DO I NEED TO KNOW?

If you have zero programming experience, this workshop is made for you! If you already have some experience but are new to Python, we’ve got you covered too – the materials are designed for attendees to progress through the materials at their own rate.

HOW IS THIS POSSIBLE?

This workshop is being run by data scientists and software engineers dedicated to the spirit of open source. Every day we benefit from the hard work of others when we use free open tools. This is our way of giving back.

Why Humble Data?

There are many reasons for people to push aside their hopes of a tech career, we’re here to listen, to understand what makes it difficult and to lower that threshold bit by bit. It’s daunting to enter a world of seemingly full of professionals who are already skilled, who have already proven their competence. We want to show our participants that there’s more than meets the eye.

There’s a generosity that needs to be promoted more, we’ve seen that directly from the conference partners we collaborate with and the mentors giving their time to welcome people into this community. We’re here to spread that message and let people know that better diversity and inclusivity in tech can happen if we organise our efforts in the right way.

And what better way to do this than to start using data well? Use data in a way that represents all of us. Use data for good, follow best practices, and educate everyone how powerful it can be in the right hands. We can all make a difference by understanding data and even more when we can work with it. Which is why we should stay humble around data.

And a huge thank you!

We’ve very grateful to the following organisations for their support.

A huge thank you to JetBrains for their sponsorship of this event. This sponsorship allowed us to cover catering for our participants. They also donated JetBrains Academy licenses to help participants continue their learning. JetBrains is a cutting-edge software vendor specializing in the creation of intelligent development tools, including PyCharm.

We’d also like to thank PyLadies Berlin, PyCon DE/PyData Berlin and DjangoGirls for all of their help with the logistics for this event. Their hard work helped make this event a success!