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Metis's Michael Galvin Talks Improving Data Literacy, Upskilling Teams, & Python's Rise with Burtch Works
By Metis • February 27, 2019
In an excellent new interview conducted by Burtch Works, our Director of Data Science Corporate Training, Michael Galvin, discusses the value of "upskilling" your team, how to improve data literacy skills across your company, and why Python is the programming language of choice for so many.
As Burtch Works puts it: "we wanted to get his thoughts on how training programs can address a variety of needs for companies, how Metis addresses both more-technical and less-technical needs, and his thoughts on the future of the upskilling trend."
In terms of Metis training approaches, here's just a small sampling of what Galvin has to say: "(One) focus of our training is working with professionals who might have a somewhat technical background, giving them more tools and techniques they can use. An example would be training analysts in Python so they can automate tasks, work with larger and more complicated datasets, or perform more sophisticated analysis. Another example would be getting them to the point where they can build initial models and proofs of concept to bring to the data science team for troubleshooting and validation. Yet another issue that we address in training is upskilling technical data scientists to manage teams and grow on their career paths. Often this can be in the form of additional technical training beyond raw coding and machine learning skills."
In a recent article published on BuiltIn, writer Stephen Gossett interviews Metis Sr. Data Scientist Javed Ahmed about the differences between Data Scientists and Data Engineers. Javed breaks down the two distinct roles, helping readers grasp the central difference: design vs. implementation.
Despite this rollicking bull market, there is such a thing as the business cycle. And whether you’re a data practitioner or an MBA, it’s worth taking your time to understand what drives its ebbs and flows. Read Data Scientist Tony Yiu's latest post here.