Registration Open Through June 26

This hands-on virtual training event introduces mathematical optimization, the critical role it serves in analytics, and why it should be a part of every data scientist’s toolkit.

In this fully on-demand**, self-paced training, optimization experts will guide you through the basics and give you the tools to formulate and code a comprehensive application that will optimize rebalancing of bike-share stations using a machine learning-based forecast.

Discover math optimization and machine learning commonalities, differences, and how they work together

Guided exercises and examples in Jupyter notebooks hosted on Colab with instructor feedback for common questions

All work will be in done Python (but, Gurobi supports many other programming languages)

Sessions have been recorded and are available on-demand for schedule flexibility (All training content will be available from March 14 - September 1, 2023)

*ACCESSING THE EVENT: Registration is open through June 26. This expert-led training is accessible through the Whova Platform; please note the dates in Whova are listed as mid-June, but because the sessions are pre-recorded, the full training will be available and open from March 14 – September 1, 2023 for learners to access at their own pace.

**This training was originally offered live in November 2022 with a corresponding certificate of completion for those who completed all session content. We will be offering another live training in November 2023 with a certificate path, but the on-demand training will not issue certificates due to the self-paced nature of the training content.

We are excited to have you learn and upskill with us!