Brunch & Code: Intro to Data Analytics with Python

Brunch & Code: Intro to Data Analytics with Python

Join us for a fun morning of brunch and learning the basics of data analytics with Python on June 22nd at 10:00 AM

By Le Wagon Berlin - Coding Bootcamp

Date and time

Saturday, June 22 · 10am - 1pm CEST

Location

Le Wagon Berlin - Coding Bootcamp

Rudi-Dutschke-Straße 26 10969 Berlin Germany

About this event

🌟 Join us for a delightful combination of brunch and code! 🥐☕️👩‍💻🌟 ((please register on our website via the registration link below)


Learn the basics of programming with Python while immersing yourself in the daily life of a data analyst 📈 while munching on some fresh croissants 😋


This 2-hour workshop, led by our official Le Wagon teachers, is completely free of charge.


Pre-requisites:


All levels are welcome! No experience is needed. Just bring your laptop and be there, in person at the start of the class.


What you’ll learn:


✅ The basics of Jupyter Notebook and Python skills needed to start analyzing data with Pandas


✅ Pandas basics, followed by data visualization techniques


✅ How to source Airbnb’s datasets online and do an analysis




Register via our website: brunch-code-intro-to-data-analytics-with-python-summer-edition-MTBnyl


About Le Wagon:


Le Wagon is the #1 ranked coding bootcamp in the world with 45 campuses and an impressive community of over 22,000 alumni.


We teach a wide range of courses, including Web Development, Data Science, Data Analytics, and No-code, catering to both beginners and experienced individuals.


Explore our courses at Le Wagon 😉

Organized by

Le Wagon teaches you the tech skills to future-proof your career and take up your next challenge through immersive Web Development and Data Science coding bootcamps across 40+ cities and 25 countries.

Since 2013, our cutting-edge curriculum and world-class teachers have given 9,281+ professionals from all backgrounds the skills and tools needed to kick-start their tech career, land a job as a software developer, product manager, join a data science team, or launch their own startup.

Sales Ended