
Discover how the row_number window function assigns rankings within groups using over and partition by, and how order by determines these rankings in the sales order detail dataset.
Define scalar as a single value and show how scalar subqueries populate a constant across rows in the select clause and enable where clause filtering by the average list price.
Explore recursive cte techniques to generate series in SQL, including numbers and dates, using anchor and recursive members with a termination condition to build a calendar table.
Learn how temp tables persist beyond a select, how to drop them to save memory, and when to choose temp tables over CTEs for large joins and multi-step scripts.
Learn how the truncate command clears data from tables while preserving structure, enabling reuse of temporary tables and streamlined code for combining sales and purchases in a single orders table.
Optimize SQL queries by using update statements to populate a temp table from one source at a time, after filtering data early to avoid many large-table joins.
Explore dynamic SQL, which constructs and executes a SQL statement at runtime to replace long chains of if statements. Use exec to build input-driven top-n queries with varying aggregates.
Develop precise prompts to guide AI tools like ChatGPT and Claude in writing SQL Server queries, using clear objectives, data details, and output structure.
Explore role reversal prompting, a flipped interaction that has the AI ask one clarifying question at a time to tailor a monthly revenue by product category sql query.
Do you already know the basics of SQL, but sometimes get frustrated when you encounter situations where the basics just aren't enough?
Are you a junior analyst who wants to level up to advanced SQL so you can take the next step in your career?
Or maybe you're a data scientist who knows enough SQL to get by, but want to take your skills further so you can spend less time wrangling data and more time building models.
If any of these sound like your situation, then you're in the right place. This course on advanced SQL for data analysis has everything that isn't covered in introductory SQL courses.
The curriculum goes DEEP, spanning all the advanced techniques you'll ever need to wrangle and analyze data in the fastest and most efficient way possible.
And these concepts aren't presented in isolation; everything is taught in the context of real-world analytics scenarios, meaning you'll be ready to apply these techniques on the job from day one.
Here's a look at just some of the things you'll get out of this course:
Make the leap to Senior Analyst by mastering advanced data wrangling techniques with SQL
Become the resident SQL expert on your team
Perform nuanced analysis of large datasets with Window Functions
Use subqueries, CTEs and temporary tables to handle complex, multi-stage queries and data transformations
Write efficient, optimized SQL
Leverage indexes to speed up your SQL queries
Supercharge your SQL knowledge with procedural programming techniques like variables and IF statements
Program database objects like user defined functions and stored procedures that will make life easier for you AND your teammates
Master useful tips and tricks not found in most database courses, like Dynamic SQL
Harness the power of AI tools to accelerate your SQL development with effective prompt engineering techniques
Gain an intuition for what technique to apply and when
Train your brain with tons of hands-on exercises that reflect real-world business scenarios
What makes this course different
There are three things that really set this course apart.
First is its scope. We'll dig deep into the advanced toolbox that SQL has to offer, uncovering techniques to solve problems that leave even senior analysts scratching their heads.
Second is a relentless focus on that practical, real-world applications. Techniques are taught not as abstract concepts, but rather as solutions to common data wrangling and analytics problems. And whenever possible, these techniques are presented, not in isolation, but in combination with other things that have already been covered. This "spiral" approach reinforces concepts you've learned so they stay with you long after taking the course.
Finally, and most importantly, the course provides a treasure trove of coding exercises that give you ample opportunity for hands-on practice. And these exercises are distributed throughout the course - not clustered together after hours of videos. This means you'll have an opportunity to practice every concept you learn, right after you learn it.
So if you want to go from SQL apprentice to SQL master, enroll today. I look forward to seeing you in the course.