Rutgers University 3 credits Data Science
This course introduces undergraduate students to the measurement and analysis of data, with an emphasis on the application of statistical concepts to data commonly encountered in Data Science. The course is divided into four sequential modules, each fundamental to a successful understanding and analysis of data: Exploratory Data Analysis, Data and Sampling Distributions, Experiments and Statistical Significance, Association and Prediction. As a whole, this course aims to offer a well-rounded view of data measurement, and testing, motivate students to investigate the statistical attributes of their variables and critically think on how to best evaluate and disseminate their findings.
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