Data Analysis in R: Predictive Analysis with Regression

Unlock the power of predictive analytics in this 2-hour project as you delve into the world of data analysis using R. Through hands-on exploration, you will gain the expertise to build and interpret regression models, enabling you to make informed predictions. The course begins with an in-depth examination of the dataset, encompassing structural analysis, identification of missing values, and correlation checks. Visualizations play a pivotal role in comprehending the dataset, and you will be adept at creating them.

With a focus on practical application, you will master the art of constructing a simple linear regression model in R, deciphering its results, and gauging its effectiveness through model assessments and diagnostic plots. As the project progresses, you will extend your knowledge by delving into multiple linear regression models, broadening your skill set and understanding of predictive analysis. By the end, you will confidently predict new values using the regression model, lending invaluable insights to decision-making processes.

• Explore and describe the dataset structure
• Detect and handle missing values
• Conduct correlation checks
• Create impactful data visualizations
• Construct and interpret simple and multiple linear regression models
• Evaluate model performance through assessments and diagnostic plots
• Predict new values using regression models

Whether you are familiar with R or seeking to bolster your expertise, this engaging project offers a valuable opportunity to hone your data analysis skills and leverage predictive analytics to drive informed decisions.