In this course, you'll learn the basics of the linear regression model and how to use linear regression for predictions and inferences using R.
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In this course, you’ll learn how and when to use linear regression models to make predictions. You’ll learn how to build linear regression models, how to interpret their output, and how to assess model accuracy. You’ll also explore the limitations of linear regression models when data isn’t linear. Finally, you’ll learn to use programming tools to fit and visualize many linear regression models at once.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, you’ll complete a project to practice your skills with a subset of condominium sales data from all five boroughs of New York City.
Processing numerical and text data
Interpreting linear regression model outputs
Assessing model fit and accuracy
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Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
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