Master fundamental techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.
This course is all about the act of combining, or merging, DataFrames, an essential part of any working Data Scientist's toolbox.
In this course, you'll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.
Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.
In this course, you'll learn the basics of relational databases and how to interact with them.
This course will show you how to combine data sets with dplyr's two table verbs.
You will learn how to tidy, rearrange, and restructure your data using versatile pandas DataFrames.
The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
Use your data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R with xts and zoo using real case study data.
Learn how to access financial data from local files as well as from internet sources.
Learn how to pull character strings apart, put them back together and use the stringr package.