A Data Pipeline is the backbone of any data-driven application, crucial for collecting, processing, and transferring data between systems. This topic covers practical skills, such as automating data pipelines with Python and GitHub Actions, as well as understanding ETL (Extract, Transform, Load) processes. You'll pick up techniques to enhance AI trading portfolios and develop data management systems using tools like Snowflake, making it a must-know for anyone looking to get hands-on with data projects.
14:50
44:47
39:18
04:52
13:57
![Automating Data Pipelines with Python & GitHub Actions [Code Walkthrough]](https://img.youtube.com/vi/wJ794jLP2Tw/mqdefault.jpg)
31:03
22:36
Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.
Apply once › get screened › meet the company
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.