Introduction to Python
Python is a general-purpose language with an unusually good set of libraries for working with data. Over two days you go from the core language to an analysis someone else can use, on the same...
Python programming
Intermediate Python for Software Development
Python makes it easy to produce working code, and just as easy to produce code nobody wants to touch six months later. This course teaches the practices that hold up across a team and a codebase...
Data analysis & visualisation
Data Analysis with Polars
Polars is a DataFrame library built for speed and for a consistent API. This course teaches you to use it well, and to write analysis code that stays readable as it grows. **Day One** covers...
Creating Dashboards in Python
Take the analysis you already have in a notebook and turn it into a web app your colleagues can use without you. In one day you build working dashboards in Streamlit, driven by real data, and you...
Time-Series Modelling with Python
Most forecasting mistakes come from treating time-stamped data like any other table. Each observation depends on the ones before it, so a random train/test split quietly lets a model see the...
Python for scientists & engineers
Python for Scientists & Engineers
Python is the common language of scientific and engineering computing. The useful parts of it are spread across a dozen libraries that each assume you already know the others. This course covers...
Python for Network & Systems Engineers
This course teaches you to turn working shell scripts into tooling the rest of your team can read, review and safely re-run. The course covers idempotency, so that a second run is safe, and...
Machine learning
Python for Machine Learning
This course covers the supervised and unsupervised machine learning methods that do most of the work on tabular data, using *scikit-learn*. The course spends as much time on checking a model as on...
Geospatial analysis
Python for Geospatial Analysis
Python has a full stack for spatial data. The main libraries are *GeoPandas* and *Shapely* for vector data, *Rasterio* and *xarray* for rasters and gridded data, *pyproj* for projections, and...
Intermediate Geospatial Analysis in Python
You can already load a shapefile, reproject it and draw a map. This course covers the analysis that comes after that: turning messy location data into something you can measure, modelling...
Open Office hours
Open Office Hour: Q&A on Python for Beginners
An hour with a senior trainer to answer your Python questions. There is no fixed agenda, because the session is whatever the people in it need. Bring a problem from work, ask which tool to learn...
Open Office Hour: Q&A on Machine Learning
An hour with a senior trainer to answer your machine learning questions. There is no fixed agenda, because the session is whatever the people in it need. Bring a model that is misbehaving, ask...
Custom training
We run any of these courses privately for your team. We also design new courses around the topics your team needs, at the pace and depth that suits them.
Our training philosophy
Working practitioners
Your trainer uses this material in their own work, and can answer questions about applying it to yours.
Hands-on learning
You write code throughout the course, on exercises built from realistic data and problems.
Certificate of completion
Every participant receives a certificate of completion for the course.
Ongoing support
Post-course support and resources, for when you are back at your desk and applying what you learnt.