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SQL for Data Science with R
This course is part of multiple programs. Learn more.
Course Cost
Free course
Beginner
Skill Level
24 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the IBM Data Analytics with Excel and R Professional Certificate or Applied Data Science with R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Master basic SQL queries and database operations
Create and manage database structures
Connect R to databases using JDBC and ODBC
Analyze real-world datasets using SQL and R
Implement efficient database design principles
Develop practical data analysis solutions
Skills you'll gain
This course includes:
1.97 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 6 modules in this course
This comprehensive course introduces fundamental concepts of SQL and database management, integrated with R programming for data science. Students learn to create and manipulate databases, write SQL queries, and connect R to databases using various methods. The curriculum covers basic to intermediate SQL operations, database design principles, and practical implementation using both SQL and R. Through hands-on labs and a final project with real-world datasets, learners develop essential skills in data manipulation and analysis.
Getting Started with SQL
Module 1 · 2 Hours to complete
Introduction to Relational Databases and Tables
Module 2 · 3 Hours to complete
Intermediate SQL
Module 3 · 7 Hours to complete
Getting Started with Databases using R
Module 4 · 5 Hours to complete
Working with Database Objects using R
Module 5 · 2 Hours to complete
Course Project
Module 6 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Applied Data Science with R Specialization, IBM Data Analytics with Excel and R Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
140
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Students
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Courses
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Frequently asked Questions
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