Correlation and Regression in R

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Free Online Course: Correlation and Regression in R provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Correlation and Regression in R is taught by Ben Baumer.

via DataCamp

4 hours worth of material

Self Paced

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

Ultimately, data analysis is about understanding relationships among variables. Exploring data with multiple variables requires new, more complex tools, but enables a richer set of comparisons. In this course, you will learn how to describe relationships between two numerical quantities. You will characterize these relationships graphically, in the form of summary statistics, and through simple linear regression models.

Syllabus

Visualizing two variables
-In this chapter, you will learn techniques for exploring bivariate relationships.

Correlation
-This chapter introduces correlation as a means of quantifying bivariate relationships.

Simple linear regression
-With the notion of correlation under your belt, we'll now turn our attention to simple linear models in this chapter.

Interpreting regression models
-This chapter looks at how to interpret the coefficients in a regression model.

Model Fit
-In this final chapter, you'll learn how to assess the "fit" of a simple linear regression model.

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Language

English
Certificate
Certificate Available
Date of Start
30th July, 2022
Price
Free Trial Available
Provider
DataCamp
Taught By

Ben Baumer
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