Higher Performance Python runs on June 1-3 online (postponed due to pandemic). You'll learn to profile slow & memory hogging code including Pandas and sklearn, learn to compile using Numba and to parallelise to multi-core with Dask. You'll speed-up numeric code by 200*, massively increase the speed of some of your Pandas operations and you'll understand how to handle "bigger than RAM datasets" in Pandas.
Software Engineering for Data Scientists will run in June online (postponed due to pandemic), you'll learn to write robust research code which can be deployed to production for greater confidence across the whole team.
Pragmatic Scikit-Learn will run in July online (also postponed). You'll learn to diagnose bad predictions, explain decisions, identify bad data and quick processes to efficiently and automatically get working first-pass models so you can show if there's useful signal in your data.
Successful Data Science Projects runs in July online (also postponed), we'll work through how to estimate the value of a project, derisk it, design a project and develop a defensible project specification to improve the value and likelihood of your delivery. This course also covers leadership training.
Join the low-volume course announce list (click the button below) to hear when these courses are given dates and to get early-access to the discounted early-bird tickets.