Intro to Data Science

3 Credits · Level: Undergraduate

Data Science - Piecing Together the Data Around Us This course teaches students how to synthesize disparate, unstructured data to better understand/characterize the world around us, and in some cases, to draw meaningful inferences. Topics covered include: an overview of the history of data science, discussion of successful data science cases, an introduction to big data analytics, the analytics lifecycle, data preparation, data cleaning, basic analytic methods including basic clustering and inference models, and visual analytics.