Now is the time to invest in your supply chain analytics team! Don’t delay – learn the fundamentals of supply chain design, inventory optimization, forecasting, and more!
Ready to make your data scientists savvy in supply chain? It’s not easy, but on November 13 & 14 – just three weeks away – at the University of Wisconsin (Madison, Wisconsin) – we have the intensive, hands-on training to transform the way your data scientists support you.
Unlike much of data science training, our unique value prop is that we understand both sides – the technical and the practical – and want to upskill your supply chain data scientists to add real value. Our training team (Ralph Asher, MS and Jeff Clement, PhD) have experience in Fortune 500, academia, and the military, in both data science and supply chain management.
If you haven’t registered yet, you may have some common concerns:
- Concern #1) We use Python, not R. We use AWS, GCP, Azure, Databricks, or another technology that you don’t cover.
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We understand hesitation when your language or tech stack doesn’t match the language or tech stack used in a training event. Programming languages come and go over time, and tech stacks do too (they sure have in my decade + in supply chain data science). But the ways we think about supply chain problems using data and analytics is pretty consistent over time. So while this training is technically intense, the primary purpose is to help data scientists bridge the gap between the technical and the business – teaching lessons they can take back to their org no matter what their tech stack.
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Concern #2) This looks great but I can’t take two days off work and travel to Madison. Can we do a virtual option?
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We get it! Taking two days off work for training sounds like you’ll return on Monday with a massive to-do list and an overflowing inbox. But one of the best parts of in-person training is the small side discussions, the “what if we did this?” kind of questions, the banter back and forth with instructors. That doesn’t happen as much, or as intensely, with virtual training. So while it is an investment to travel and take two days off, it’s just that – an investment. So no, we are in-person only. Plus – is your (home) office as beautiful as this?
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Concern #3) The cost is kind of steep!
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Budgets can be tight, for sure. Still, this training is competitively priced for two days of in-person, specialized training. Even with travel costs included, we believe that your team may see a massive ROI in your professional development. After all – if your data scientists are supporting the supply chain function, but don’t understand supply chain, what is that costing you?
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- Concern #4) Madison isn’t a big city – how do I travel there?
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Madison is roughly a four-hour drive to Minneapolis and three hours to the Chicago area. If coming from further away, there are direct flights to Madison from hub airports across the United States (Madison airport website). The airport is approximately fifteen minutes from the training site on-campus.
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Concern #5) I strongly dislike the Green Bay Packers. Am I still allowed in Wisconsin?
- Of course you are! Let’s just keep the discussion away from football and on supply chain analytics, where it belongs.
Participants will learn how to apply these data science concepts within supply chain management:
- Optimization and Supply Chain Network Design
- Inventory Optimization
- Simulation for SCM (Monte Carlo Simulation and Discrete Event Simulation)
- Linear Models for SCM
- Time Series Forecasting
- LLMs and AI for SCM
- Geographic Data
- Automated Reporting
Training will be offered using the R programing language and the Posit Cloud IDE. Participants will take home all code examples. If you’re new to R, we will suggest resources to get you up to speed so your training days are as productive as possible. If you’re a Python user, the concepts and learnings from these two days goes beyond just “code” – enabling you to be a better data scientist than when you started.
Registration
The training is competitively priced at $1,495 per person for the two days. Register here.