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Regression Models

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.

Created by Johns Hopkins University


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What you’ll learn


In this educational opportunity you may gain confidence with the compentencies required by employers these days. The most relevant technique from the educational resource that is frequently requested by organizations is Data Analysis.

Who will benefit?


Evaluating material from this educational opportunity with nearly 10,000 data-related job postings, we discover that those in or pursuing Data Scientist roles have the most to gain.