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.
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 Joining Data with data.table in R course at Data Camp 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
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Mathematics Information Technology (IT) Data Science & Big Data View 583 other Short Courses in Data Science & Big Data in United StatesAcademic 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
PREREQUISITES
- Data Manipulation with data.table in R
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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