About this event
In a collaborative workshop setting we'll work through real data analysis examples, from data cleaning to modelling. You can work at your own pace, or just focus on the topics you care about. Our team will be nearby to help if you get stuck. This is a great way to meet fellow data enthusiasts, pick up a few new tricks, and learn something about this month's topic: Climate Change!
In this session we will go through the Python Jupyter notebooks used to create the data for our January Hackathon (https://www.meetup.com/London-Open-Data-Hackathons/events/257305421/).
The topics we'll cover are:
- Data Cleaning
- Data Transformation
- Data Visualisation
Or suggest something else here: https://goo.gl/forms/cCCel4zstC7tFdXy2
While the examples will be in Python, you're welcome to work with any other coding language. The session is designed to let you work at your own pace, so whether you're brand new to coding, or you've got the basics mastered there's something for you. We expect everyone in attendance to have at least some knowledge of coding.
We ask that you bring your laptop and charger with you. The examples will be in Python 3, but we will be using Binder to host them. This means there's no pre-work required unless you prefer to run the examples locally.
This is a relaxed, informal event where we hope to work together to discover something new. We are being hosted by Count (www.count.co) who will be providing food and drink throughout the evening to keep us going.