Building and analyzing linear regression model in R

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Building and analyzing linear regression model in R provided by Coursera is a comprehensive online course, which lasts for 1-2 hours worth of material. Building and analyzing linear regression model in R is taught by Dr. Nikunj Maheshwari. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • By the end of this project, you will learn how to build and analyse linear regression model in R, a free, open-source program that you can download. You will learn how to load and clean a real world dataset. Next, you will learn how to build a linear regression model and various plots to analyze the model’s performance. Lastly, you will learn how to predict future values using the model. By the end of this project, you will become confident in building a linear regression model on real world dataset and the know-how of assessing the model’s performance using R programming language.

    Linear regression models are useful in identifying critical relationships between predictors (or factors) and output variable. These relationships can impact a business in the future and can help business owners to make decisions.

    Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.