This curriculum is designed to transform you into a Data Analyst capable of handling real-world enterprise data. You won't just learn syntax; you'll solve business problems using RetailMart—a massive, realistic e-commerce database.
| Feature | Description |
|---|---|
| 🏢 Real-World Dataset | Work with RetailMart (1M+ rows), simulating an Amazon-like retail giant. |
| ⚡ Modern Stack | Learn on the latest PostgreSQL, the world's most advanced open-source DB. |
| 🛠️ Hands-On Labs | 400+ practice questions, 50+ tables, and daily coding challenges. |
| 📈 Career Focus | Master the exact skills companies hire for: Joins, CTEs, Window Functions, and Reporting. |
CLICK HERE FOR YOUR DASHBOARD (Uses RetailMart V1 • 8 Schemas • 28 Tables)
CLICK HERE FOR YOUR DASHBOARD (Uses RetailMart V2 • 16 Schemas • 47 Tables • Dirty Data)
We cover the entire spectrum of SQL development, broken down into mastery modules.
"Building the Structures"
- Database Architecture: Understanding Client-Server models, DBMS vs RDBMS.
- DDL Mastery: Creating databases, schemas (
CREATE SCHEMA), and tables (CREATE TABLE) with precision. - Data Types: Deep dive into
INT,NUMERIC,VARCHAR,TEXT,DATE,TIMESTAMP, andBOOLEAN. - Constraints: Enforcing data integrity with
PRIMARY KEY,FOREIGN KEY,UNIQUE,NOT NULL, andCHECK.
"Asking the Right Questions"
- Data Retrieval: Mastering
SELECT, aliasing, and raw data exploration. - Filtering Power: complex logic with
WHERE,AND/OR,IN,BETWEEN, and pattern matching withLIKE/ILIKE. - Handling Nulls: The concept of
NULLand theIS NULL/IS NOT NULLoperators. - Sorting & Paging:
ORDER BYfor ranking andLIMIT/OFFSETfor pagination.
"Summarizing the World"
- Aggregate Functions:
COUNT,SUM,AVG,MIN,MAXto derive insights. - Grouping Data: Segmentation using
GROUP BYto analyze trends by region, category, or time. - Filtering Groups: Using
HAVINGto filter aggregated results (e.g., "Stores with > $1M revenue"). - Case Logic: Conditional logic with
CASE WHENfor dynamic categorizations (e.g., "High Value" vs "Low Value" customers).
"Connecting the Dots"
- The Power of Joins: Visualizing data relationships.
- Inner Join: Finding matching records (The intersection).
- Left/Right Join: Preserving data from one side (The master list).
- Full Outer Join: Combining everything (The complete picture).
- Cross Join: Generating combinations (The matrix).
- Self Join: Hierarchical data (e.g., Employees and Managers).
"Solving Complex Problems"
- Subqueries: Nesting queries for multi-step logic (Scalar, Row, Table subqueries).
- Correlated Subqueries: Queries that depend on the outer row.
- CTEs (Common Table Expressions): Writing readable, modular code with
WITHclauses. - Recursive CTEs: Traversing hierarchies (e.g., Organization charts).
"The Analyst's Superpower"
- Ranking:
ROW_NUMBER(),RANK(),DENSE_RANK()for leaderboards. - Value Access:
LAG(),LEAD()for period-over-period analysis (MoM, YoY). - Aggregates: Running totals, moving averages, and cumulative sums using
OVER (PARTITION BY ... ORDER BY ...).
"Building for Scale"
- Transactions: Ensuring ACID properties with
BEGIN,COMMIT,ROLLBACK. - Indexing: B-Tree, Hash, and GIN indexes to speed up queries by 100x.
- Views: Creating virtual tables (
CREATE VIEW) for security and simplicity. - Materialized Views: Caching complex query results for instant access.
- Functions: Writing reusable logic with User-Defined Functions (UDFs).
"Putting It All Together"
- End-to-End Analytics: Build a complete reporting dashboard for RetailMart.
- Business KPIs: Calculate CLV (Customer Lifetime Value), Churn Rate, and Monthly Recurring Revenue (MRR).
- Dashboarding: Presenting insights using SQL-driven data.
| Folder | Description |
|---|---|
batches/ |
Student Area: Weekly folders with daily notes, assignments, and labs for each batch. |
datasets/ |
RetailMart V2: The new standard dataset (CSV + SQL) for Batch 24+. |
curriculum/ |
Curriculum Templates: Standardized syllabus and teaching flow documents. |
legacy/ |
Archives: Old datasets, practice questions, and notes for Batches 21-23. |
You will become proficient in the industry-standard "Modern Data Stack":
- PostgreSQL: The core database engine (latest version).
- pgAdmin 4: The administrative interface for server management.
- VS Code: The modern, lightweight code editor for writing SQL queries.
- Git & GitHub: Version control for your code and projects.