SQL for Problem Solving is designed for learners who already understand the basics of SQL and are ready to apply their skills to real-world data problems. In this hands-on course, you鈥檒l move beyond textbook queries to tackle the challenges data analysts face every day. From diagnosing data quality issues to building rolling metrics and interpreting event data, this course gives you the toolkit to write powerful, efficient SQL queries across different dialects and complex datasets.
SQL Problem Solving
SQL Problem Solving
This course is part of Learn SQL Basics for Data Science Specialization
Instructor: Katrina Glaeser Poole
Access provided by New York State Department of Labor
77,503 already enrolled
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
80%
Most learners liked this course
What you'll learn
Validate and clean a dataset
Assess and create datasets to answer your questions
Solve problems using SQL
Build a simple testing framework to touch on AB Testing
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Learn SQL Basics for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
After this module, you will be able to navigate the course environment and datasets, recall and apply key SQL concepts including joins, CTEs, and aggregation. You will be able to identify and resolve common SQL errors. You will also be able to apply structured approaches to SQL problem-solving and use diagnostic techniques to evaluate data quality. Finally, you'll be able to simplify queries using CTEs, subqueries, and pivot logic.
What's included
23 videos3 readings6 assignments
After this module, you will be able to describe how data flows to analysts in modern stacks. You will be able to write SQL queries on event and JSON-based data. You will be able to evaluate the trustworthiness of different data sources.
What's included
15 videos1 assignment1 discussion prompt
After this module, you鈥檒l be able to design SQL queries to support reporting, metrics, and goal tracking. You'll be able to analyze data for executive dashboards, funnels, and retention. Finally, you'll be able to translate business questions into SQL-based investigations.
What's included
22 videos1 assignment1 discussion prompt
After this final module, you will be able to tackle open-ended SQL challenges with limited guidance. You'll be able to construct queries to support forecasting and recommendation systems. You'll also be able to communicate insights through effective SQL design and visualization prep.
What's included
23 videos1 reading1 assignment
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Instructor ratings
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