SQL & DATABASE FUNDAMENTALS

SQL & RDBMS

Learn how real business data is Stored, Connected and Queried — from relational database fundamentals and schema modelling to writing analytical SQL queries.

SQL Relational database CTEs Joins & Subqueries Window functions

6 Weeks • Live Online / Offline • 15+ Practical Datasets

postgresql://analytics_db

QUERY EDITOR (QUERY_01.SQL)

SELECT
    customer_name,
    SUM(order_amount) AS total_revenue
FROM orders
GROUP BY customer_name
ORDER BY total_revenue DESC;

RESULT SET (3 ROWS RETURNED IN 34MS) ● POSTGRES OK

customer_name	total_revenue	share
Acme Corp	₹8.4M	41.2%
Nova Retail	₹6.8M	33.3%
Zenith Ltd	₹5.2M	25.5%

Aggregated KPI: Total Top-Tier Client Revenue = ₹20.4M

GROUP BY VALIDATED

STEP 01

1. Structure Design (DDL)

You act as a digital architect.

You create databases, design table blueprints, choose data types (like text or numbers), and set up strict rules (Constraints) so messy data cannot break your system.

STEP 02

2. Populate & Maintain (DML)

You keep the database alive and moving.

You load massive files into tables, edit existing user details when they update profiles, and safely purge old, unneeded records.

STEP 03

3. Retrieve & Analyse (DQL)

You turn raw numbers into valuable answers.

You pull specific data slices, stitch separate tables together using matching IDs, and calculate massive totals like monthly sales performance.

STEP 04

4. Optimize & Secure (Administration)

You protect the system and make it lightning-fast.

You build shortcuts (Indexes) so queries take milliseconds instead of minutes, and you lock down tables so only authorized users can view sensitive data.