Successful Data Science Projects (next course Feb 22-23), we 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.
Software Engineering for Data Scientists (next course Mar 6-8) - write stronger research code, refactor to make it maintainable, add unit tests and defensible data loading tests so you trust your processing. You'll be able to develop faster with fewer bugs and your colleagues will have more trust in your code.
Higher Performance Python (next course Apr 10-12) - learn to profile slow & memory hogging code including Pandas and sklearn, learn to compile using Numba and to parallelise to multi-core with Dask and Vaex. 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.
Faster Pandas will be described soon - learn a set of techniques to make Pandas 2 as fast as it can be on both the CPU and GPU.
You can join Ian's NotANumber newsletter on the link below, published every couple of weeks, to keep up to date with new course releases or please email Ian directly to ask for a notification for the next course.