Overview
Context
In the real world, data sets typically come split across many tables while most data analysis functions in R are designed to work with single tables of data.
In this Joining Data with data.table in R course offered by Data Camp, you'll learn how to effectively combine data sets into single tables using data.table.
You'll learn how to add columns from one table to another table, how to filter a table based on observations in another table, and how to identify records across multiple tables matching complex criteria.
Along the way, you'll learn how to troubleshoot failed join operations and best practices for working with complex data sets.
After completing this course you'll be well on your way to be a data.table master!
Programme Structure
Chapters
- Joining Multiple data.tables
- Joins Using data.table Syntax
- Diagnosing and Fixing Common Join Problems
- Concatenating and Reshaping data.tables
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is well suited for those new to data.table in R as it covers the basics and takes you through the fundamentals step-by-step.
PREREQUISITES
- Data Manipulation with data.table in R
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions