Welcome to Humble Data

PyCon Italia Beginner’s Day

🐍

❤️

📊

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Welcome newbies & mentors! 🥰

Thank you for being here today

Humble Data

We are a community initiative to help people from underrepresented groups get started in data science.

We believe in a world where anyone can get started in tech, if they have the right support and tools.

We encourage people from previous workshops to mentor, or even run their own!

www.humbledata.org

Who are we?

Stefania Delprete

Licia Maron

Simona Mazzarino

Pabla Oreskovic

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Today’s goal

Introduce you to:

• Python and programming
• Jupyter notebooks
• Data wrangling and visualisation

Build up your confidence!

Bring you into the Python community

What to expect today

You will be divided into small groups with a mentor.

Once you’re settled in your groups, please take the time to introduce yourselves ❤️

Then open the notebooks - we’ll have a QR code and URL at the end of this presentation.

Finally, spend the rest of the workshop working through notebooks at your own pace. Please ask for help any time!

Agenda

14:30

Opening

15:00

Start working on the notebooks

16:30

Check-in and Coffee break

18:30

Finish

Housekeeping

Please refer to our website for our Code of Conduct, and also the Code of Conduct for PyCon Italia.

Report inappropriate behaviour:

• Fill in the form sent to you in the latest email
• Email us at humble.data.comms@gmail.com
• Find Pabla, Licia, Simona or one of the other conference organisers to let us know

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Keep learning!

• Data science, start-to-finish:
• Learning Python for Data by Matt Harrison

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• Pandas:
• Python for Data Analysis by Wes McKinney
• Effective Pandas by Matt Harrison

• Machine/Deep Learning:
• Machine Learning Specialisation by Andrew Ng
• Machine Learning Crash Course from Google
• An Introduction to Statistical Learning (with Applications in Python)
• Deep Learning with Python by François Chollet

Let’s get started!

Go to the notebooks (QR code or link on left, or check your invitation email).

Navigate to the “notebooks” folder.

If you have never used Python, start at notebook 1. If you are familiar with Python, start at notebook 2.

Have fun, and please ask for help and help each other! This is a safe and non-judgmental space. ❤️

humbledata.org/online-workshop

Cominciamo!

Andate ai quaderni (codice QR o link a sinistra, oppure controllate l'e-mail di invito).

Passare alla cartella "notebooks".

Se non avete mai usato Python, iniziate dal quaderno 1. Se avete familiarità con Python, iniziate dal quaderno 2.

Divertitevi e chiedete aiuto e aiutatevi a vicenda! Questo è uno spazio sicuro e non giudicante. ❤️

humbledata.org/online-workshop-italian-v2

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Join our Discord

Stefania is waiting for you there

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Happy learning journey!

Please speak up if you need help