SQL and R for Data Science Fundamentals
Learn essential SQL database querying and R programming skills for data science through hands-on practice with real datasets.
Learn essential SQL database querying and R programming skills for data science through hands-on practice with real datasets.
This practical course introduces students to SQL and R programming for data science applications. Learn to work with relational databases, write SQL queries, and access data using R. The curriculum features hands-on labs with real-world datasets and cloud-based database instances. Students master fundamental SQL operations, database manipulation, and integration with Jupyter notebooks. Perfect for beginners, this course provides essential skills for working with data in a data science environment.
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What you'll learn
Write and execute basic SQL statements for database manipulation
Filter, sort, and analyze data using SQL queries and built-in functions
Access and query databases using R programming in Jupyter notebooks
Work with real-world datasets and cloud-based database instances
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This foundational course combines SQL and R programming for data science applications. Students learn database concepts, SQL query writing, and data access using R programming. The curriculum includes practical exercises with real databases and datasets, cloud database setup, and integration with Jupyter notebooks. The course emphasizes hands-on learning through interactive labs and real-world examples.
Fee Structure
Instructor
Technology Education and Skills Development Leader at IBM
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
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Frequently asked questions
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