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Coursera

SQL Analytics: Aggregation, Subqueries & Query Optimization

LearnKartS via Coursera

Overview

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You know how to query a table. But can you turn it into a business report, fix a slow query, or protect records when a transaction fails? This course takes you into analytics, optimization, & transaction management on real e-commerce data. Here’s what you will build: • Aggregation & Reporting Turn raw data into business insights by making use of COUNT, SUM, AVG, MIN, and MAX with GROUP BY and HAVING. Combine JOINs with aggregation to produce monthly sales reports and customer summaries. • Subqueries & Advanced Filtering Answer complex data questions employing subqueries inside WHERE, SELECT, and FROM, & apply IN, NOT IN, ANY, ALL, and EXISTS for retrieving insights; no single JOIN can give you. • Views, Indexes & Query Performance Build Views for reusable query logic, add Indexes to speed up how your database finds data, & improve query performance on real production tables. • Transactions & Data Safety Protect your data using COMMIT, ROLLBACK, and SAVEPOINT through a real bank transfer example that shows exactly how transactions prevent data loss. Taught in Hindi & built for analysts, developers, and data professionals. Trusted by 200,000+ learners across 160+ LearnKartS courses. Start today.

Syllabus

  • SQL Aggregation & Filtering
    • Learn how to summarize data using aggregation functions like COUNT, SUM, AVG, MIN, and MAX. You will also explore GROUP BY, HAVING, and subqueries to generate meaningful analytical reports.
  • Advanced SQL Subqueries, Optimization & Transaction Management
    • Learn advanced subqueries using IN, EXISTS, ANY, and ALL for complex filtering. You will also explore views, indexes, query optimization techniques, and transaction management using COMMIT, ROLLBACK, and SAVEPOINT.

Taught by

Nikhil Agarwal and LearnKartS

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