MinneAnalytics Mondays

Data Science Web Series Featuring New Presenters Each Week

Streaming live Mondays at 12:00pm CDT

 Watch Live

Episode 10 –  Senior Analytic Mentors
Monday, July 27 at 12pm CDT

What are the best mentors in analytics coaching their teams to do? Benefit from their insights, knowledge and experience. This panel of senior analytics leaders will discuss topics they find important for their teams and their mentees to master including, but not limited to:

  • Learning More than a Few Tools/Languages
  • Explaining Your Work (including different audiences – technical to allow for evaluation and replication, and business to promote understanding and adoption)
  • Professional Skepticism
  • QA Reviews
  • Reproducibility
  • Reformulating Your Questions


The session will stream live on the MinneAnalytics YouTube channel. Check back here for the link, or sign up here to receive an email notification when we go live.

Have an idea for MinneAnalytics Mondays? Contact mondays@minneanalytics.org

Past Episodes

Episode 9 – Finding Purposefully Hidden Sites with GPUs and ML July 13

Featuring Mike Flaxman, Spatial Data Science, OmniSci & Adam Edelman, Federal Solutions, OmniSci

Episode 8 – Tracking the economic effects of COVID-19 in real-time June 29

Joe Mahon discusses the limitations of traditional macroeconomic data in assessing the impact of the COVID-19 pandemic on the regional and national economy, and share a number of alternative, higher-frequency indicators economists at the Federal Reserve and elsewhere have turned to for a better understanding of this rapidly-evolving crisis.

Episode 7 – Angry Hiring Manager Panel  June 15

Frustrated managers vent on how colleges are preparing students. Moderated by Ashley Stadler-Blank with panelists Ravi Shanbhag, John Hogue, and Lizzy Foo Kune.

Episode 6 – WTF I Wish I Learned – AKA Distinguished Alumni Panel June 8

Recent, but seasoned, alumni who have distinguished themselves talk about what they had to learn the hard way. Moderated by Ashley Stadler-Blank with panelists Kim Eng Ky, Jake Mason, and Claire Brekken.

Episode 5 – The Covid19R project with Rami Krispin May 18

Episode 5 features Rami Krispin presenting about the Covid19R project. More details about the project are available here.

Episode 4 – Towards MLOps with Kubeflow, mlrun & DASK May 11

Episode 4 features Greg Hayes, Data Science Director at Ecolab, talking MLOps.

Episode 3 – Using Variational Auto-Encoders to Explore U.S. Covid-19 County-level Data May 4

Yaniv Ben-Ami Founder at EasyAsPie.ai and Assistant Professor at Carleton College explores how a Variational Auto-Encoder can be used to track and make sense of U.S. Covid-19 county-level data.

Episode 2 – A Data Science Playbook for Explainable AI April 27

Josh Poduska, Chief Data Scientist at Domino Data Lab, reprises his highly-rated presentation from Data Tech 2019 “A Data Science Playbook for Explainable AI – Navigating Interpretable vs Predictive Models.”

Episode 1 – Panel Discussion: Predicting in an Age of Uncertainty April 20

Virtual panel discussion moderated by John Hogue with panelists Brianna Frederick, Data Science Manager, General Mills, Sean Larson, Director Business Insights and Analytics, Medtronic and Ruel G. White, Supply Chain Process Manager, Cargill.