Steffen SjursenTest the Result First when Validating Data Science PipelinesNobody wants to have the wrong estimates in a business critical analysis or introduce errors or unexpected behavior in production. So how…Mar 23, 2020Mar 23, 2020
Steffen SjurseninBetter ProgrammingThe Pros and Cons of Using Jupyter Notebooks as Your Editor for Data Science WorkTL;DR: PyCharm’s probably betterMar 1, 20207Mar 1, 20207
Steffen Sjursen“I have an idea involving Data Science” — a corporate checklistAs a data scientist and consultant, we do discuss a lot of ideas involving data science. Ideas of typeFeb 2, 2020Feb 2, 2020
Steffen SjursenArguments for using the ICE (Impact, Confidence, Ease) as your planning tool in data science teamsICE is a framework for selecting feature work based on 3 key dimensions, enabling teams to make better decisions on what features work to…Jan 24, 2020Jan 24, 2020
Steffen SjursenWhy Kanban works well for our data science teamsSummary: Because most data science tasks have uncertain outcomes, it is easy to create a lot of work in progress that doesn’t go anywhere…Jan 16, 20202Jan 16, 20202