What will you learn in Learn SQL Course
Write efficient SQL queries using
SELECT,JOIN,GROUP BY,HAVING, and subqueriesDesign and normalize relational databases with primary/foreign keys and indexing strategies
Perform data aggregation, filtering, and window functions for advanced analytics
Use DML (
INSERT,UPDATE,DELETE) and DDL (CREATE,ALTER,DROP) statements safelyOptimize query performance and understand execution plans across popular RDBMS
Program Overview
Module 1: SQL Basics & Setup
⏳ 1 week
Topics: Installing and connecting to a database (PostgreSQL/MySQL), basic
SELECTqueries, filtering withWHEREHands-on: Query a sample employees table to retrieve specific records
Module 2: Data Retrieval & Filtering
⏳ 1 week
Topics:
ORDER BY,LIMIT, pattern matching withLIKE, logical operatorsHands-on: Find top-selling products and filter customers by region and purchase history
Module 3: Joining Tables
⏳ 1 week
Topics: Inner, left, right, and full outer joins; self-joins; cross joins
Hands-on: Combine orders and customer tables to produce consolidated sales reports
Module 4: Aggregation & Grouping
⏳ 1 week
Topics:
GROUP BY,HAVING, aggregate functions (SUM,COUNT,AVG,MIN,MAX)Hands-on: Calculate monthly revenue, average order value, and identify top 10% of customers
Module 5: Subqueries & Common Table Expressions
⏳ 1 week
Topics: Inline subqueries, correlated subqueries,
WITHclauses for modular queriesHands-on: Use CTEs to break down a complex nested query into readable steps
Module 6: Window Functions & Advanced Analytics
⏳ 1 week
Topics: ROW_NUMBER, RANK, LEAD, LAG, running totals, moving averages
Hands-on: Generate sales trends with rolling averages and rank products by performance
Module 7: Data Modification & Transaction Control
⏳ 1 week
Topics:
INSERT,UPDATE,DELETE,TRUNCATE; transaction statements (BEGIN,COMMIT,ROLLBACK)Hands-on: Safely update inventory quantities and rollback on constraint violations
Module 8: Schema Design & Performance Tuning
⏳ 1 week
Topics: Normalization (1NF–3NF), indexing strategies, analyzing execution plans
Hands-on: Design a normalized schema for an e-commerce app and optimize slow-running queries
Get certificate
Job Outlook
SQL proficiency is essential for roles like Data Analyst, Business Intelligence Developer, and Backend Developer
Nearly every industry relies on SQL for data-driven decision making, from finance and healthcare to tech and retail
Salaries range from $65,000 to $120,000+ depending on role, experience, and location
Mastering SQL opens doors to advanced specialties such as data engineering, analytics engineering, and cloud database administration
Explore More Learning Paths
Strengthen your SQL and database management skills with these carefully selected courses designed to help you query, analyze, and optimize data efficiently.
Related Courses
Database Design and Basic SQL in PostgreSQL Course – Learn the fundamentals of database design and SQL using PostgreSQL, including tables, queries, and relationships.
Databases and SQL for Data Science with Python Course – Apply SQL skills for data science tasks and integrate Python for data analysis workflows.
SQL Server Performance Tuning Part 1 Course – Master techniques to optimize SQL Server queries, improve performance, and handle large-scale databases effectively.
Related Reading
What Is Data Management? – Discover how proper data management ensures data integrity, accessibility, and efficient querying for business and analytics purposes.
Specification: Learn SQL Course
|
FAQs
- No prior programming experience is strictly necessary.
- Basic understanding of data and tables is helpful.
- The course teaches SQL syntax and queries from scratch.
- Learners will practice creating, reading, updating, and deleting data.
- Hands-on exercises reinforce learning even for complete beginners.
- Yes, core SQL concepts are applicable across relational databases.
- Syntax may vary slightly between platforms, but fundamentals remain the same.
- The course focuses on standard SQL queries and operations.
- Learners can adapt skills to any relational database system.
- Practice with multiple systems outside the course can enhance adaptability.
- Yes, SQL is widely used for data analysis and querying databases in applications.
- The course teaches querying, filtering, grouping, and joining data effectively.
- Skills can be applied in analytics, reporting, and backend development.
- Understanding database design concepts helps in real-world projects.
- Combining SQL with programming languages like Python enhances versatility.
- Yes, SQL offers more powerful and efficient data manipulation compared to spreadsheets.
- Learners will practice querying and aggregating large datasets easily.
- The course demonstrates how relational databases handle structured data.
- SQL knowledge helps automate repetitive data tasks.
- Transitioning from Excel to SQL is straightforward with practice.
- The course includes exercises for SELECT, INSERT, UPDATE, DELETE, and JOIN operations.
- Learners practice writing queries on sample databases.
- Exercises cover filtering, sorting, and aggregating data.
- Hands-on practice helps reinforce syntax and query logic.
- Additional practice with real datasets is recommended for mastery.
