Workshop

Humble Data - Learn Python and Data Science from scratch!

Wednesday, May 28

14:30 - 19:00
RoomHumble Data
LanguageEnglish
Audience levelBeginner
Elevator pitch

Are you eager to embark on a tech career but unsure where to start? Are you curious about data science? Join our workshop for complete beginners and get started in Python and Data Science - even if you’ve never written a single line of code!

Abstract

The materials is both is available in Italian and English

Taking the first steps in this field can be hard, but you don’t have to do it alone. We invite those from underrepresented groups to apply to join us for a fun, supportive Humble Data workshop that will give you the confidence to get started in this exciting area. You can expect plenty of exercises, as well as inspiring talks from those who were once in your shoes. You’ll cover the basics of programming in Python, as well as useful libraries and tools such as Jupyter Notebooks, Pandas, and Matplotlib.

Apply by April 6 here: https://forms.gle/64cMDoJb31r7DzpD9

In this hands-on workshop you’ll work through a series of beginner-friendly materials at your own pace. You’ll work within small groups, each with an assigned mentor, who will be there to help you with any questions or whenever you get stuck. All you’ll need to bring is a laptop that can connect to the internet and a willingness to learn!

Agenda

  • 14:30 Welcome and get ready to start!
  • 15:00 Intro “What is Humble Data?”
  • 15:30 Let’s get started!
  • 16:45 Check-in together
  • 17:00 Let’s keep going!
  • 18:00 How to follow-up and networking

Do you want to be a mentor instead? Please feel this form instead, and thank you!

TagsData Visualization, Algorithms and Data Structures
Participant

Stefania Delprete

Stefania’s career path has been mostly driven by her curiosity and drive to influence more goodness in the world. After studying physics, she worked in IT in the UK, Germany and Italy, diving into integration testing, data science and lately info security. Stefania teaches Python and data science and leads a non-profit organization on how can have a positive impact on society using a rational approach. She’s involved in open-source communities, is 15-year vegan, a jazz lover, and she’s (very slowly) writing a hard sci-fi book and a well-being memoir.