Self-paced course
Self-paced course
Advanced SQL Querying
Advanced SQL Querying
Course Description
SQL is a powerful tool for managing and analyzing relational databases, and a skill that every analyst, data scientist, and BI professional should seek to master.
In this course, we’ll move beyond the basic “Big 6” clauses (SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY) and cover advanced querying techniques like JOIN types, subqueries, CTEs and window functions.
From there, we’ll introduce advanced functions used for manipulating various data types, including numeric, datetime, string and NULL functions.
Finally, we’ll practice solving real-world business problems and common data analytics use cases by applying advanced querying techniques like pivoting with CASE statements, calculating running totals with window functions, and more.
If you’re looking for a hands-on, practical guide to advanced querying with SQL, this is the course for you.
Course Description
SQL is a powerful tool for managing and analyzing relational databases, and a skill that every analyst, data scientist, and BI professional should seek to master.
In this course, we’ll move beyond the basic “Big 6” clauses (SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY) and cover advanced querying techniques like JOIN types, subqueries, CTEs and window functions.
From there, we’ll introduce advanced functions used for manipulating various data types, including numeric, datetime, string and NULL functions.
Finally, we’ll practice solving real-world business problems and common data analytics use cases by applying advanced querying techniques like pivoting with CASE statements, calculating running totals with window functions, and more.
If you’re looking for a hands-on, practical guide to advanced querying with SQL, this is the course for you.
Course Content
14 course hours
22 assignments & solutions
0 skill assessments
Who should take this course
Analysts or BI professionals looking to analyze data stored in relational database systems
SQL users who want to develop advanced querying skills
Anyone looking for a hands-on, practical, and highly engaging way to master SQL for advanced data analysis
Meet your instructors
Alice Zhao
Lead Data Science Instructor
Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She has taught numerous courses in Python, SQL, and R as a data science instructor at Maven Analytics and Metis, and as a co-founder of Best Fit Analytics.
Featured review
"This course was meticulously crafted and delivered in such an efficient way that even the hardest concepts were easy to grasp and understand. Thank you Alice and Maven Analytics!"
Anjitha S.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Advanced SQL Querying
Advanced SQL Querying
CPE Accreditation
CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
SQL is a powerful tool for managing and analyzing relational databases, and a skill that every analyst, data scientist, and BI professional should seek to master.
In this course, we’ll move beyond the basic “Big 6” clauses (SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY) and cover advanced querying techniques like JOIN types, subqueries, CTEs and window functions.
From there, we’ll introduce advanced functions used for manipulating various data types, including numeric, datetime, string and NULL functions.
Finally, we’ll practice solving real-world business problems and common data analytics use cases by applying advanced querying techniques like pivoting with CASE statements, calculating running totals with window functions, and more.
If you’re looking for a hands-on, practical guide to advanced querying with SQL, this is the course for you.
Course Description
SQL is a powerful tool for managing and analyzing relational databases, and a skill that every analyst, data scientist, and BI professional should seek to master.
In this course, we’ll move beyond the basic “Big 6” clauses (SELECT, FROM, WHERE, GROUP BY, HAVING and ORDER BY) and cover advanced querying techniques like JOIN types, subqueries, CTEs and window functions.
From there, we’ll introduce advanced functions used for manipulating various data types, including numeric, datetime, string and NULL functions.
Finally, we’ll practice solving real-world business problems and common data analytics use cases by applying advanced querying techniques like pivoting with CASE statements, calculating running totals with window functions, and more.
If you’re looking for a hands-on, practical guide to advanced querying with SQL, this is the course for you.
Curriculum
Meet your instructors
Alice Zhao
Lead Data Science Instructor
Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She has taught numerous courses in Python, SQL, and R as a data science instructor at Maven Analytics and Metis, and as a co-founder of Best Fit Analytics.
Student reviews
This course was meticulously crafted and delivered in such an efficient way that even the hardest concepts were easy to grasp and understand. Thank you Alice and Maven Analytics!
Anjitha S.
🌟 Course Review: MySQL Advanced SQL Querying 🌟 I recently completed the "Advanced SQL Querying" course, and I highly recommend it to anyone looking to deepen their SQL knowledge and tackle more complex queries. The course offers a hands-on, project-based approach, providing a deep dive into essential advanced techniques like multi-table analysis, window functions, subqueries, and Common Table Expressions (CTEs) and much, much more! 🧰Some highlights: ✅Comprehensive Coverage: The course covers everything from JOIN variations to advanced functions, such as `ROW_NUMBER()` and `LAG()`, providing a solid foundation for tackling real-world data challenges. ✅Data Analysis Applications: I especially appreciated the focus on applying these skills to data analysis tasks, like pivoting, rolling calculations, and handling duplicate values, which are invaluable for any analyst or data scientist. ✅Clear Structure & Resources: The course structure was easy to follow, with quizzes, assignments, and a downloadable PDF reference that made it easy to revisit topics on the go. Whether you're looking to sharpen your SQL skills or dive deeper into advanced querying for data analysis, this course is an excellent investment and if you're interested in mastering SQL and boosting your data manipulation capabilities, this course is definitely worth checking out! Best!
German
I really enjoyed the advanced SQL course going over the basics was helpful, but diving into the subqueries and common table expressions was a big help for me! I also really enjoyed how the course makes Window functions seem easy to understand.
Jeffrey Baker
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Advanced SQL Querying
Advanced SQL Querying
CPE Accreditation
CPE Credits:
0
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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