Databases and SQL for Data Science with Python
Master SQL fundamentals and learn to analyze data using Python with databases. Perfect for aspiring data professionals.
Master SQL fundamentals and learn to analyze data using Python with databases. Perfect for aspiring data professionals.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Science Professional Certificate 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.
4.7
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English
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What you'll learn
Write and execute SQL queries for data analysis
Create and manage relational databases
Connect Python to databases for data science
Perform advanced SQL operations and joins
Analyze real-world datasets using SQL and Python
Skills you'll gain
This course includes:
1.75 Hours PreRecorded video
17 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course teaches SQL and database fundamentals for data science applications. Students learn everything from basic SQL queries to advanced concepts like joins and transactions. The curriculum includes hands-on practice with real-world datasets using Python integration through Jupyter notebooks. Special emphasis is placed on practical data analysis skills and working with cloud databases.
Getting Started with SQL
Module 1 · 2 Hours to complete
Introduction to Relational Databases and Tables
Module 2 · 2 Hours to complete
Intermediate SQL
Module 3 · 3 Hours to complete
Accessing Databases using Python
Module 4 · 4 Hours to complete
Course Assignment
Module 5 · 2 Hours to complete
Bonus Module: Advanced SQL for Data Engineer (Honors)
Module 6 · 4 Hours to complete
Fee Structure
Instructors
Data Scientist at IBM Specializing in Data Mining and Learning Curriculum Development
Hima Vasudevan is a Data Scientist in the Digital Business Group at IBM, where she is part of the Cognitive Class team. She focuses on creating skill offerings and delivering learning curricula for the Data Science and Data Engineering professions. Hima began her journey at IBM in 2016 as an Analytics Data Scientist Intern, working on a data mining project to predict power outages related to storms using IBM SPSS Modeler. Specializing in data mining and databases, she published a thesis titled "Effectively Updating Co-location Patterns in Evolving Databases". She holds a Bachelor's Degree in Computer Science Engineering and a Master's in Applied Computer Science from Purdue University.
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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4.7 course rating
20,098 ratings
Frequently asked questions
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