R Programming: Data Analysis and Modeling
About this course
To round out your R programming skills, you'll dive into its data science capabilities by loading and saving data and manipulating data frames using base R and the dplyr package. You'll also analyze data by exploring its underlying distribution and identifying missing values. Then, you'll visualize data by using base R and ggplot2 to plot that data in various ways. Lastly, you'll create statistical and machine learning models in R that can make predictions and other estimations about data. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you have R and R Studio installed on a Windows PC. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
75/100
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What you'll learn
- manipulating data frames using base R and dplyr
- visualizing data with base R and ggplot2
- analyzing data distributions and identifying missing values
- creating statistical and machine learning models in R
Course objectives
- to develop skills in data manipulation and analysis using R
- to learn data visualization techniques
- to build predictive models using statistical and machine learning methods
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