Get started with R and learn how to work with different data types. Understand the most powerful data format, the Data Frame, and learn how to query this format.
Have you ever wanted to learn how R is used to handle the most common data types? The knowledge you will gain here is foundational for any aspiring R programmer. In this course, Querying and Converting Data Types in R, you will develop an understanding of all of these data types and how they are processed, converted, and filtered. First, you will explore general data analysis concepts and take a look at the data frame and its main alternatives. Next, you will learn the major data types in R: numeric, integer, factor, character, boolean, and date and time. Finally, you will discover how these data types are used in a data frame. The query and filtering methods largely depend on the data types available in that data frame. When you are finished with this course, you will have your first set of skills that will be invaluable in your further learning path. In fact, the skills taught here are so important in data science, that most of it can be used in other languages (Python, Matlab) and programs (SPSS).
Have you ever wanted to learn how R is used to handle the most common data types? The knowledge you will gain here is foundational for any aspiring R programmer. In this course, Querying and Converting Data Types in R, you will develop an understanding of all of these data types and how they are processed, converted, and filtered. First, you will explore general data analysis concepts and take a look at the data frame and its main alternatives. Next, you will learn the major data types in R: numeric, integer, factor, character, boolean, and date and time. Finally, you will discover how these data types are used in a data frame. The query and filtering methods largely depend on the data types available in that data frame. When you are finished with this course, you will have your first set of skills that will be invaluable in your further learning path. In fact, the skills taught here are so important in data science, that most of it can be used in other languages (Python, Matlab) and programs (SPSS).
