SQL Essentials for Data Science
Master SQL fundamentals and learn to extract, analyze, and manipulate data from databases using SQL queries and Python integration.
Master SQL fundamentals and learn to extract, analyze, and manipulate data from databases using SQL queries and Python integration.
This practical course introduces SQL (Structured Query Language) for data science applications. Students learn to work with relational databases, write SQL queries, and analyze data using both SQL and Python. The curriculum emphasizes hands-on learning with real databases and datasets, including creating cloud database instances and executing queries through Jupyter notebooks. Designed for beginners, the course provides essential database skills needed for data science and machine learning careers.
4.3
(75 ratings)
1,20,173 already enrolled
Instructors:
English
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What you'll learn
Understand database fundamentals and relational database management systems
Execute SQL queries using SELECT, INSERT, UPDATE, and DELETE statements
Filter and analyze data using string patterns, ranges, and built-in functions
Integrate SQL with Python and Jupyter Notebooks for data analysis
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 comprehensive introduction to SQL for data science focuses on practical database skills and query writing. The course covers fundamental concepts of relational databases, SQL query execution, data filtering, and analysis techniques. Students gain hands-on experience working with real databases and learn to integrate SQL with Python using Jupyter notebooks. The curriculum emphasizes practical applications in data science contexts.
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
Testimonials
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4.3 course rating
75 ratings
Frequently asked questions
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