R Basics for Data Analysis Path
R is a powerful programming language widely used for statistical computing. Its popularity is due, in part, to how useful it is at every stage of the data analysis process.
In this path, you’ll explore the basics of R, work through specialized data processing with strings and dates, and much more. R is in-demand, heavily supported by the community, exceptionally popular, and often associated with lucrative salaries.
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This is the second course in the Data Analyst R pathway. This course expands upon the programming concepts and techniques covered in Intro to R. It will also teach you how to use the most common data structures in data analysis. This information is crucial for data professionals.
This is the third course of our Data Analyst in Rails path. This course builds on the R programming skills that you have acquired in the previous two courses and allows you to perform more complex operations in R.
This course will teach you about control flow, including if-else statements and conditionals. Next, you will learn about functional programming and functions.
Iteration will be …
This course is part of the Data Analysis in R career path. This course will build upon the skills and knowledge that you have acquired in the previous three courses.
First, you'll learn string indexing techniques and concatenation techniques for understanding, processing and analysing text data. You will use the lubridate package to overcome the unique problems associated with working in R …