Using R with Databases
- Offered byCognitive Class
Using R with Databases at Cognitive Class Overview
Using R with Databases
at Cognitive Class
Learn how to create database objects, populate the database, and issue SQL queries to retrieve and modify your data from R
Duration | 6 hours |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
Using R with Databases at Cognitive Class Highlights
Using R with Databases
at Cognitive Class
- Earn a certificate upon completion
Using R with Databases at Cognitive Class Course details
Using R with Databases
at Cognitive Class
Skills you will learn
More about this course
- The intent of this course is to teach you how to unlock the power and magic of R to analyze data in relational databases
- It will show you how to connect to relational databases, access and query the database, update and modify the data, analyze it and perform simple visualizations
- It will introduce you to the benefits of using R with databases
- The course will also delve into advanced topics of using stored procedures and utilizing in-database analytics with R
Using R with Databases at Cognitive Class Curriculum
Using R with Databases
at Cognitive Class
Module 1 - R and Relational Databases
Module 2 - Connecting to Relational Databases using RJDBC and RODBC
Module 3 - Database Design and Querying Data
Module 4 - Modifying Data and Using Stored Procedures
Module 5 - In-Database Analytics with R
Using R with Databases at Cognitive Class Faculty details
Using R with Databases
at Cognitive Class
Rav Ahuja
Rav Ahuja is a Senior Manager with IBM Canada Lab specializing in Data Science and Big Data analytics. He is part of the Emerging Technologies team and is involved in incubating offerings for Data and Analytics Professionals. Rav also leads the work on partnerships and private portals for BDU.
Grant Hutchison
Grant Hutchison had worked with IBM for 18 years as Senior Engineer and Manager at IBM Canada (1991-2009). He held various roles including: Software Development, Support, Quality Assurance, Marketing, Sales, Training, and Product Management.
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