ZF
I enjoyed taking this guide project. It offered a introduction into linear regression models in R. I found the project to be engaging and very informational!

Increasingly, predictive analytics is shaping companies' decisions about limited resources. In this project, you will build a regression model to make predictions. We will start this hands-on project by exploring the dataset and creating visualizations for the dataset. By the end of this 2-hour-long project, you will be able to build and interpret the result of a simple linear regression model in R. Also, you will learn how to perform model assessments and check for assumptions using diagnostic plots. By extension, you will learn how to build and interpret the result of a multiple linear regression model. To succeed in this project, you need to be familiar with using R to describe data. If you are unfamiliar with R and want to learn the basics, start with my previous guided project, "Getting Started with R." However, if you are comfortable using R, please join me on this beautiful and exciting ride! Let's get our hands dirty!

ZF
I enjoyed taking this guide project. It offered a introduction into linear regression models in R. I found the project to be engaging and very informational!
Showing: 5 of 5
It is an excellent minicourse in Exploratory Analysis, Regression Statistics and Diagnostics with a guided-project in R. It builds insightful skills in Data Analytics and the instructor explains all the steps in a friendly way. In this project, there are also 3 mini tasks after each section, that help in a better self-training. I suggest you following other projects with the same instructor before this one, to get a constructive idea in the field of Data Analysis and R Programming.
I enjoyed taking this guide project. It offered a introduction into linear regression models in R. I found the project to be engaging and very informational!
VERY INFORMATIVE THIS COURSE WAS
Great
I want my refund!