Women's Data Brunch [Lisbon] | Data Analytics with Python
Women's Data Brunch [Lisbon] | Data Analytics with Python
Sat, Feb 25, 10:00 AM
Le Wagon Lisbon Coding Bootcamp • Lisboa
Free
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[In-person] Wine & Data with Le Wagon
Discover the basics of programming with Python and will be quickly immersed in the daily life of a Data Analyst
When and where
Date and time
Location
Le Wagon Lisbon Coding Bootcamp 91B Rua do Conde de Redondo 1150-103 Lisboa Portugal
Map and directions
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About this event
In this hands-on workshop, you will discover the basics of programming with Python and will be quickly immersed in the daily life of a Data Analyst 🐍📊 We will also analyse Airbnb's datasets with Python as an example. This workshop is for total beginners!
👉 And what's better than enjoying a new learning with a good glass of wine? João Cálem, our Data Science teacher, is also an excellent wine expert & lover and will guide us through a little tasting time during the event 🍷
In 2 hours workshop you will learn
- Jupyter notebook basics and basic python skills in order to start analysing data with Pandas
- Pandas basics and then how to do data visualization
- How to source Airbnb's datasets online and do an analysis
About this workshop
This workshop will start with a 1h30 lecture to introduce the core concepts. You will then be onboarded on Le Wagon's e-learning platform and access the slides, a sum-up of key notions as well as exercises to keep practicing after the workshop.
About Le Wagon
Le Wagon emerged in 2014 as one of the first tech bootcamps in France, offering web development and data science programs. Now, it has grown to a robust global community of tech talents with 43 Le Wagon campuses in Amsterdam, Berlin, Lisbon, London, Melbourne, Mexico, Montreal, Singapore, São Paulo, Paris, Tel Aviv, and other cities worldwide.
With this expansion, Le Wagon has helped over 13,000 developers, data scientists, designers, and entrepreneurs start their new careers in tech. Eight years on, the school continues to inspire tech aspirants to find their path in the industry.