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This course is an introduction to the dpylr package and how to use it with the R programming language. The dpylr package is commonly used to clean and work with data. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work. In this course, you will learn how to import large spreadsheet-like datasets into R and manipulate their contents. Rather than working in a spreadsheet, you can import those spreadsheets to R as data frames and apply all of the R skills you have learned so far! You will also learn how to create and clean data frames and how to perform aggregate functions on those data frames. Finally, we will show you how to work with multiple data frames in unison.


What you’ll learn

Through this educational resource you may acquire the compentencies sought by employers in 2021. The most in demand technique in the learning opportunity that is frequently included by organizations is Data Analysis. The most relevant tool is R. You will also learn about Programming Skills, a trait commonly requested in job postings.

Who will benefit?

Mapping content from this learning opportunity with nearly 10,000 data-related job postings, we discover that those in or pursuing Data Scientist roles have the most to gain.