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SQL & Databases

SQL – Foundations of Data Querying & Databases

Learn how to speak the language of databases. From SELECT and JOINs to subqueries and indexing, this course gives you the SQL skills needed to query, analyze and manage relational data.

Beginner friendly – no prior SQL required Works with MySQL, PostgreSQL, SQL Server & more Real‑world exercises with production‑style schemas

About This Course

This course is your practical introduction to SQL and relational databases. You’ll learn how data is stored in tables, how relationships between tables are modeled, and how to write SQL queries that extract exactly the information you need.

We start with query basics and gradually move into joins, aggregations, subqueries, window functions and performance tips. You’ll practice against realistic schemas such as e‑commerce, HR and analytics databases so your skills transfer directly into the workplace.

Syllabus Covered

Module 1 Relational Database Fundamentals
  • What is a database? Tables, rows, columns & keys
  • Introduction to relational models & ER diagrams
  • Installing & using a SQL client (MySQL / PostgreSQL)
  • SELECT, FROM, WHERE and basic filtering
  • Ordering, limiting and simple calculations in queries
Module 2 Aggregations, Grouping & Conditional Logic
  • COUNT, SUM, AVG, MIN, MAX and derived metrics
  • GROUP BY and HAVING for aggregated filtering
  • CASE expressions for conditional columns
  • Date functions and working with time‑series data
  • Hands‑on KPI queries for analytics dashboards
Module 3 JOINs, Subqueries & Advanced Filtering
  • INNER, LEFT, RIGHT & FULL JOINs in practice
  • Understanding primary & foreign keys
  • Subqueries in SELECT, FROM and WHERE
  • EXISTS, IN and NOT IN patterns
  • Combining multiple tables for real‑world reports
Module 4 Window Functions, Indexes & Best Practices
  • Introduction to window functions (OVER, PARTITION BY)
  • Running totals, rankings and moving averages
  • Indexes, query plans and performance basics
  • Views, CTEs and re‑usable query structures
  • Capstone: analyze a realistic business database with SQL

Top Companies Relying on SQL Every Day

SQL is the core language of data used by analysts, engineers and BI teams across industries.

Google
Microsoft
AWS
IBM
Meta
Netflix
Infosys
Accenture

What You Will Achieve in This SQL Program

Build a solid foundation in relational databases and become confident writing production‑grade SQL.

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Relational Thinking

Understand how tables relate, how to design schemas and how to navigate complex data models.

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Querying Confidence

Quickly write and debug SQL queries to answer ad‑hoc questions from product, marketing or ops teams.

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Analytics‑Ready Skills

Produce clean result sets that feed into Excel, Power BI, Tableau or Python notebooks.

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Performance Awareness

Read query plans, understand indexes and avoid anti‑patterns that slow databases down.

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Job‑Ready Portfolio

Finish with a collection of SQL scripts and case‑study notebooks that demonstrate your skills.

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Mentor Support

Get help on edge‑case queries, schema understanding and translating business needs into SQL.

SQL Query Insights
Users Orders Revenue Conversion

Tools & Databases You Will Use

Practice SQL on popular open‑source and enterprise database systems.

MySQL
PostgreSQL
SQL Server (concepts)
SQLite (for quick labs)
Oracle (syntax differences)

Roles & Learning Journey

See how this SQL course maps to common data roles and how your skills grow over 6 weeks.

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SQL Ecosystem

Work across different SQL dialects so you can adapt quickly to whichever database your company uses.

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Career Roles You Can Target

SQL is a core skill for analyst and engineering roles. This course prepares you for SQL‑heavy positions.

Junior Data Analyst Business Analyst BI / Reporting Analyst Data Engineer (Entry‑level) Database / SQL Developer
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Your 6‑Week Learning Journey

A structured plan that grows your SQL skills from zero to confident practitioner.

Weeks 1–2: Query basics, filtering & aggregations
Week 3: GROUP BY, HAVING, CASE & date operations
Week 4: JOINs, subqueries & complex filtering
Weeks 5–6: Window functions, indexes, views & capstone project