Speaker: Joseph Ogbenna
Topic: Mastering SQL Window Functions
Abstract:
Most SQL users are comfortable with `GROUP BY`, `SUM()`, and `COUNT()`, but many business questions require more advanced analytical techniques. How do you rank top-performing products within each category? Calculate running sales totals without losing transaction-level detail? Compare a customer's current purchase to their previous one? Identify sales trends, customer inactivity, or consecutive periods of growth?
In this practical and hands-on webinar, participants will learn how to use SQL Window Functions in Microsoft SQL Server Management Studio (SSMS) to perform advanced analytical calculations that go beyond traditional aggregations. Through realistic sales, customer, and product data scenarios, we will explore powerful functions such as `ROWNUMBER()`, `RANK()`, `DENSERANK()`, `LAG()`, `LEAD()`, and windowed aggregates to solve real business problems.
By the end of the session, attendees will be able to write more efficient analytical queries, generate deeper insights from data, and apply modern SQL techniques commonly used by experienced data analysts and business intelligence professionals.
Profile:
Joseph Ogbenna is a specialized data analyst and analytics trainer who focuses on customer intelligence and business performance. With a technical background in SQL, Power BI, and Python, Joseph is an expert at transforming complex data into clear, actionable insights.
He is known for his ability to simplify high-level analytical concepts for professionals of all skill levels. In this live session, Joseph will demonstrate how to bridge the gap between traditional spreadsheets and the future of work by integrating AI Copilot into your daily Excel workflow.
Connect with the speaker: linkedin.com/in/joseph-ogbenna/
See you in the online live class session!
RSVP:meetup.com/microsoft-excel-and-data-analysis-learning-community/events/316777271/
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