Data Analysis in R: Predictive Analysis with Regression
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.
Buy Now Free
- Level Intermediate
- Duration 3 hours
- Course by Coursera Project Network
-
Offered by
About
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!Modules
Your Learning Journey
-
3
Readings
-
1
Plugin
-
1
Lab
-
1
Assignment
1
Assignment
- Data Analysis in R: Predictive Analysis with Regression
1
Labs
- Data Analysis in R: Predictive Analysis with Regression
3
Readings
- Project Overview
- Link to project resources
- Link to additional resources
Auto Summary
Unlock the power of predictive analytics with the "Data Analysis in R: Predictive Analysis with Regression" course, designed for data enthusiasts and professionals eager to enhance their analytical skills. This intermediate-level course, offered by Coursera and led by an expert instructor, dives deep into the domain of Data Science & AI. Over the span of just 2 hours, you'll embark on a hands-on journey to build and interpret both simple and multiple linear regression models using R. Starting with data exploration and visualization, you'll learn to create insightful visual representations of your dataset. The course will guide you through constructing regression models, performing model assessments, and validating model assumptions with diagnostic plots. Perfect for those already familiar with R, this course promises a comprehensive and engaging experience. If you're new to R, it's recommended to first complete the "Getting Started with R" project to build a solid foundation. Join us for this free subscription course and transform your data analysis capabilities. Whether you're a budding data scientist, a business analyst, or anyone interested in predictive analytics, this course is your gateway to making data-driven decisions with confidence.
Arimoro Olayinka Imisioluwa