In this course, you will encounter examples of how data science can be used for business, including key concepts in data collection and analysis. You will address these questions through a simulation framework in R that uses a data science approach. You will also summarize data sets by making visualizations and calculating summary statistics, such as the mean, standard deviation, and correlation.

After you complete this course, you will be able to use the basic tools in R to perform exploratory data analysis, which will allow you to identify key patterns and trends in a ready-to-analyze data set. You will also discover how to judge the uncertainty surrounding your data and identify methods to determine whether you can trust your results. This course involves many hands-on coding exercises in R to help you gain confidence in your programming skills.

System requirements: This course contains a virtual programming environment that does not support the use of Safari, Edge, tablets, or mobile devices. Please use Chrome, Firefox, or Internet Explorer on a computer for this course.

“Exploring Data Sets With R” must be completed prior to starting this course.