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📊 Data & Machine LearningBeginner LevelEvidence-Based Skill Profile

Hands-on Mastery in SQL

Don't just learn SQL. Solve real data problems. Master relational databases, SQL queries, aggregations, multi-table JOINs, subqueries, CTEs, analytical window functions, data transformation, and query optimization with your dedicated in-course SQL Mastery Agent coach.

10 Modules • 5 Production Projects
10 Modules
AI FearFilter Faculty

What You Will Learn

Master relational database design principles, primary/foreign keys, entity relationships, and SQL execution flow.
Write expressive, performant SELECT queries with multi-condition WHERE filtering, pattern matching, NULL logic, and ORDER BY.
Synthesize complex metric summaries using COUNT, SUM, AVG, MIN/MAX, grouped with GROUP BY and filtered with HAVING.
Combine data across multiple normalized tables using INNER, LEFT, RIGHT, FULL, and CROSS JOINs without accidental Cartesian products.
Construct modular, readable analytical queries leveraging Common Table Expressions (WITH clauses) and correlated subqueries.
Compute running totals, moving averages, percentiles, and cohort rankings using OVER (PARTITION BY ... ORDER BY ...) window functions.
Clean, standardize, and format messy real-world datasets with COALESCE, CAST, string manipulations, and conditional CASE WHEN expressions.
Analyze execution plans with EXPLAIN ANALYZE, design B-tree and composite indexes, and optimize query latency.
Extract actionable business insights from cohort retention tables, sales funnels, and financial ledgers.
Complete 5 production portfolio projects and pass the Module 10 hands-on SQL skill challenge.

Curriculum & Weekly Roadmap

10 Structured Modules

Module 1 — SQL Fundamentals

  • Relational Database Architecture (RDBMS vs Flat Files)
  • Declarative SQL vs Procedural Execution
  • Database Schema Blueprint & Entity Relationships

Module 2 — Databases, Tables & Data Types

  • CREATE, ALTER & DROP DDL Commands
  • Primary Keys, Foreign Keys, NOT NULL & UNIQUE Constraints
  • INSERT, UPDATE, DELETE & Transactional Mutations

Module 3 — SELECT, Filtering & Sorting

  • SELECT Projection, Column Aliasing & DISTINCT Values
  • WHERE Clauses, Comparison & Logical Operators (AND/OR/NOT)
  • NULL Value Semantics (IS NULL vs = NULL) & ORDER BY Direction

Module 4 — Aggregations & Grouping

  • Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
  • GROUP BY Dimensional Summarization & Granularity
  • HAVING Filter Mechanics (Pre-Aggregation vs Post-Aggregation)

Module 5 — JOINs & Multi-Table Queries

  • Relational Algebra & Normalization (1NF, 2NF, 3NF)
  • INNER JOIN, LEFT JOIN, RIGHT JOIN & FULL OUTER JOIN
  • Self JOINs, Cartesian CROSS JOINs & Preventing Row Inflation

Module 6 — Subqueries & CTEs

  • Scalar, Columnar & Table Subqueries (IN, EXISTS, ANY/ALL)
  • Correlated Subqueries & Nested Query Execution Flow
  • Common Table Expressions (WITH Clauses) & Chained CTE Pipelines

Module 7 — Window Functions

  • OVER (PARTITION BY ... ORDER BY ...) Frame Specifications
  • Ranking Functions: ROW_NUMBER(), RANK(), DENSE_RANK()
  • Value Navigation & Aggregates: LEAD(), LAG(), FIRST_VALUE(), Running Totals

Module 8 — Data Cleaning & Transformation

  • Handling Missing Data with COALESCE & NULLIF
  • Type Casting (CAST, ::) & String Manipulation Functions
  • Conditional Branching with CASE WHEN ... THEN ... ELSE ... END

Module 9 — Advanced SQL & Performance Optimization

  • Understanding EXPLAIN & EXPLAIN ANALYZE Query Plans
  • B-Tree Indexes, Composite Indexes & Sargable Filtering Predicates
  • ACID Transactions (BEGIN, COMMIT, ROLLBACK) & Concurrency Isolation

Module 10 — Production Projects & Final SQL Skill Challenge

  • Project 1: E-Commerce Customer Analytics & Lifetime Value (LTV)
  • Project 2: Financial Ledger Audit & Double-Entry Anomaly Detection
  • Project 3: SaaS Subscription Metrics Engine (ARR, MRR, Churn & LTV)
  • Project 4: Multi-Touch Attribution & Marketing Funnel Conversion Tracking
  • Project 5: Healthcare Patient Records & Readmission Rate Analytics
  • Module 10 Final Hands-on SQL Skill Challenge Submission & Socratic Evaluation

Who This Course Is For

Aspiring Data Analysts, Data Engineers, Software Developers, Business Intelligence Specialists, and Product Analysts aiming to query and analyze production databases with confidence.

Key Skills Developed:

SQL Fundamentals & Relational ConceptsDatabases, Tables & Integrity ConstraintsSELECT Queries, Filtering & SortingAggregations, GROUP BY & HAVING LogicJOINs & Multi-Table Relational QueriesSubqueries, CTEs & Common Table ExpressionsWindow Functions & Analytical PartitioningData Cleaning & Transformation with SQLAdvanced SQL & Query OptimizationHands-on SQL Skill Challenge

Course Faculty & Development

AI FearFilter Faculty

Data Engineering & Analytics Team

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