The Vocabulary of Data Science: A Guide

by Angela Guess David Kil and Mark Killiron recently broke down the vocabulary of data science  on EdSurge.com for students, non-data professionals, and anyone interested in learning more about this burgeoning field. Their list of terms includes, “DESCRIPTIVE ANALYTICS: Examines historical data and identifies trends or patterns over time from known facts to inform future decisions. Why it matters: Descriptive analytics allow institutions to understand trends, such as enrollment, retention and course selection, and to use quantitative data analysis to understand the underlying factors that influence those outcomes.” They go on, “PREDICTIVE ANALYTICS: Encompass multiple techniques to learn relationships between historical events and what happened subsequent to the historical events, so that such relationships can be used to predict future outcomes based on current events. Why it matters: Predictive analytics…


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