![]() ![]() You can also learn how to create visualizations such as scatter plots, histograms, box plots, and heat maps. ![]() By taking up this course, you can learn how to use R for a variety of tasks, including data cleaning and wrangling, exploratory data analysis, statistical modeling, and predictive analytics.They will provide you with hands-on exercises and real-world examples to help you apply what you have learned. The course is taught by experienced instructors who deeply understand R and its applications. The course is suitable for anyone who wants to learn R programming, including beginners and those with some programming experience.You will also learn how to use R for data analysis and visualization, including importing data, manipulating data, creating graphics, and performing statistical analysis. In this course, you will learn the basics of R programming language, including variables, data types, data structures, control structures, functions, and packages.R's popularity is due to its versatility and flexibility, making it suitable for a wide range of applications. It is commonly used for statistical analysis, predictive modeling, and data visualization. ![]() R is used by a variety of industries, including finance, healthcare, marketing, and education. It provides a wide range of statistical and graphical techniques, making it one of the most widely used languages for data analysis and research. R is a popular open-source programming language used for statistical computing, data analysis, and visualization. Introduction to R is a beginner-level course designed to teach the fundamentals of R programming language.
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