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 Burtch Works' annual report, Salaries of Data Scientists & Predictive Analytics Professionals 2020, get a comprehensive look at salary data, demographic information, and hiring marketing analysis for data science and predictive analytics leading up to and during the ongoing pandemic.
Ai X West, part of Open Data Science Conference (ODSC) West will be held in a virtual format this year on October 28, and one of our Sr. Data Scientists, Javed Ahmed is all set to present. Here, read what he'll cover and how you can register to watch him live.