Database Access in R Course Details:

Mining data in R requires access to multiple data stores. In this course, you’ll learn about DataFrame manipulation, accessing common file formats, traditional relational databases, and NoSQL stores like MongoDB and Cassandra. After completing this course, you’ll be able to join, manipulate, and transform disparate data sets from a myriad of data sources to extract meaningful insights.

    No classes are currenty scheduled for this course.

    Call (919) 283-1674 to get a class scheduled online or in your area!

Data Frames and Data Files in R

  • Reading and Writing Tab and CSV files
  • Excel Spreadsheets
  • MS Access Files
  • Working with DataFrames
  • DataFrame tools
  • Merging and Joining DataFrames

Relational Databases Overview

  • Database CLIs with R (DBI, R/ODBC, and R/JDBC)
  • SQLite
  • dplyr


  • ODBC drivers and the CLI
  • SELECT statements
  • INSERT statements
  • DELETE statements
  • UPDATE statements
  • DDL statements
  • DB Transactions

Using dplyr

  • dplyr Features
  • Table verbs
  • Operations
  • Piping

NOSQL Databases

  • RDBMS (SQL-based)
  • Document Databases
  • Key-Value Databases
  • Columnar Databases

R and MongoDB

  • MongoDB Overview
  • MongoDB and R
  • Mongo Queries

R and Cassandra

  • Cassandra Overview
  • Accessing Cassandra
  • DataFrames from Cassandra

*Please Note: Course Outline is subject to change without notice. Exact course outline will be provided at time of registration.

Join an engaging hands-on learning environment, where you’ll learn:

  • Data Frames and Data Files in R
  • Relational Databases
  • RDBMS with RODBC
  • Using dplyr
  • Working with NOSQL Databases
  • R and MongoDB
  • R and Cassandra and DataFrames from Cassandra

This course has a 40% hands-on labs to 60% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.


You should have prior experience programming with R.

Data Scientists and other technical professionals with R programming experience.

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