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Filling in the Corporate Training Gaps: Michael Galvin's Article in Training Industry Magazine
By Carlos Russo • July 28, 2020
Michael Galvin, Kaplan's Executive Director of Analytics, wrote an article for Training Industry Magazine on the most important data and analytics capabilities for today's companies. Called Filling the Gaps, the article breaks down data literacy, Python, and machine learning, the three most in-demand data science and analytics skills companies should prioritize when thinking about training their teams.
Additionally, Mike covers how companies can use training to solve common problems and achieve strategic goals, as well as goes over what to look for when seeking out a training provider.
Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand.
Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.