Data Science projects are full of uncertainty, making it impossible to plan everything without first doing something.

In this course, you will learn how to first target risk and benefit from having a fixed timeline and a flexible scope to finish significant data science projects in 6-week cycles.

Why should you trust us?

This course is based on the handbook we (Hakim and Wojtek) used at NannyML, a machine learning monitoring company with solid research foundations, to lead our research data science team. Over the last four years, we've refined it to address some of the most challenging research questions, resulting in the development of four novel ML monitoring algorithms that are now in production.

NannyML has been downloaded by over 500,000 people and is trusted by dozens of Fortune 500 companies. Our software stands out for its research-driven foundation, which is key to our ability to transition effectively from research to production.

Who should take this course?

— Lead Data Scientists, Data Science Managers, Heads of Data Science, or anyone leading a team that aims to put ML/AI models into production.

—Anyone who has struggled to put models into production in the past.

You should NOT take this course if:

— Your projects don't need any data science or machine learning.

— You are very early in your data science career.

If you're still interested and want to learn from people who have successfully deployed novel algorithms in 6-week cycles, read on.