SQL INTERVIEW QUESTION - HIGH RETURN CUSTOMERS WHOSE RETURN AMOUNT IS ATLEAST 25% OF TOTAL PURCHASE скачать в хорошем качестве

SQL INTERVIEW QUESTION - HIGH RETURN CUSTOMERS WHOSE RETURN AMOUNT IS ATLEAST 25% OF TOTAL PURCHASE

In this video, we solve an important real-world SQL interview question-: This is not just a coding question — this is a business risk analysis problem that companies use to detect: 👉 Identify customers whose total return amount is at least 25% of their total purchase value. 👉 Download the E-Commerce database used in this video here: https://github.com/AvinashJames/Conte... Note - Sign in to GitHub: Please create an account and log in. Signed-in users get much higher download limits Use the "Download" Button: Instead of opening the "Raw" file, click the Download icon or the "Code" - "Download ZIP" button on the main repository page. High return behavior Revenue leakage Potential fraud or abuse patterns Low profitability customers You’ll learn how to: Calculate customer-level revenue Join multiple tables (Orders, Order_Items, Returns) Compute return percentage using SQL Apply business logic using aggregation & HAVING clause This question is commonly asked in: SQL Interview for Data Analyst Product Analyst SQL Round Business Analytics Interviews Advanced SQL Coding Tests If you’re preparing for SQL interview questions, this one is extremely important. Mastering this type of problem shows you understand both SQL and business impact. #sql #mysql #coding #dataanalysis #dataanalytics #sqlinterviewquestions Here you will learn the new-edge technologies like Data Science, Machine Learning, SQL, Python, Power BI, Tableau, and other modern tools in the most easy, simple, and interactive way. My mission is to make complex concepts super simple so that even beginners can understand and professionals can revise quickly. Python Programming – from beginner to advanced with real-world projects. SQL (Structured Query Language) – Queries, Joins, Subqueries, Window Functions, and all important concepts for interviews and job readiness. Pandas & NumPy – Data analysis libraries explained step-by-step with datasets that are relatable to Indian and global contexts. Data Visualization – Using Matplotlib, Seaborn, and Plotly to create impactful charts and dashboards. Power BI & Tableau – Business Intelligence tools for building interactive dashboards and reports. Machine Learning Basics – Regression, Classification, Clustering explained in an easy and practical way. Interview Preparation – Real interview questions, mock interview problems, and answers explained so you can crack your dream job.