An Introduction to SQL with R
Course Level: Intermediate (6 hours)
Using databases is a fundamental part of a data scientists role. The main focus of this training course is to introduce SQL databases, write your first SQL queries, and show how R can be used to retrieve and manipulate data stored in a relational database. The course uses both the {DBI} and {dbplyr} packages.
We use the PostgreSQL database as an example for public courses. For in-house training, we are happy to adapt the course to match your database requirements.
Book: An Introduction to SQL with R
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Course Details
Outline
- Introduction to databases: An introduction to relational databases that implement the SQL standard. This will cover standard SQL table queries, as well as a brief discussion into indexing.
- Data entry and retrieval: Using R as a means to query and modify data in a SQL database.
- Standard SQL commands: Typical SQL commands when working with a database
- Data aggregation: A {dplyr} and {dbplyr} front end to data manipulation on a database.
- Multiple tables: Dealing with and joining data that resides in multiple tables within a database.
Learning Outcomes
By the end of the day, participants will understand…
- how to access relational databases via R
- that R can directly query and modify data in a SQL database using SQL commands
- how to use {dplyr} and {dbplyr} to access a database
- that {dplyr} can run commands directly in the data
- how to create database tables.
Prior Knowledge
No knowledge of database software is assumed however familiarity with R programming and use of packages and functions is required. Successful completion of the Introduction to R course offered by Jumping Rivers is sufficient background. In particular, basic knowledge of {dplyr} is assumed.
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Attendee Feedback
- “Great insight into SQL databases in R. Content delivery was excellent and the knowledge acquired will be very useful in my job.”