Complete SQL Masterclass: from Basics to Advance Level

Unlock the full potential of data with Complete SQL Masterclass, a comprehensive course designed to take you from beginner to advance levels in SQL using PostgreSQL and pgAdmin4.

Sekhar Metla

(MSc CA) Master of Science in Computer Application

Here’s what you will learn?

Understand core SQL concepts and database fundamentals
Write efficient SQL queries to retrieve, filter, and sort data
Use advanced SQL techniques like joins, subqueries, and window functions
Design and manage relational databases effectively
Optimize database performance with indexing and query optimization
Analyze real-world datasets and extract actionable insights
Utilize PostgreSQL and pgAdmin4 for hands-on database management
Apply advanced SQL skills to solve complex data challenges

This Course Includes

Recorded Lessons: 72
Recorded Hours: 6hr 3min

Certificate of completion
Access on Mobile

Course Description

Unlock the full potential of data with The Complete SQL Masterclass, a comprehensive course designed to take you from beginner to advanced in SQL using PostgreSQL and pgAdmin4. Whether you’re a student, data analyst, software developer, or business professional, this course equips you with the tools to confidently work with databases, extract insights, and drive decisions.

Starting with the fundamentals, you’ll learn to create and manage databases, write basic queries, and manipulate data. As the course progresses, you’ll dive deeper into advanced topics like joins, subqueries, window functions, and performance optimization techniques. This hands-on course features practical exercises and real-world projects to help you apply your knowledge. Using PostgreSQL, a powerful and versatile database management system, combined with the user-friendly pgAdmin4 interface, you’ll gain in-demand skills that can be directly applied to your professional projects.

Key Highlights:

- Master essential SQL concepts from scratch.

- Explore advanced SQL techniques for complex data analysis.

- Learn database design, normalization, and indexing.

- Work with real-world datasets to solve practical problems.

- Optimize queries for speed and performance.

By the end of this course, you’ll have the expertise to handle complex database tasks, enhance your analytical capabilities, and advance your career in data-driven fields. Join now and transform your data skills!

Course Content

72 Lessons | 6hr 3min

About the instructor

Sekhar Metla

(MSc CA) Master of Science in Computer Application

Sekhar Metla is a software engineer with 15 years of experience and a Microsoft Certified Professional. He has authored best-selling TeacherDadaPlus courses, teaching 26,000+ students across 192 countries. Holding a Master’s in Computer Applications (Software Engineering), he is known for his passionate, engaging, and motivational teaching style.

Frequently Asked Questions

You will learn SQL fundamentals, advanced SQL concepts, and practical applications of SQL for querying, managing, and analyzing databases. Topics include SELECT queries, JOINs, GROUP BY, subqueries, SQL functions, CRUD operations, and database optimization.

Yes, the course is designed for both beginners with no prior knowledge of SQL and those looking to deepen their SQL skills.

Yes, advanced topics include INNER and OUTER JOINs, GROUP BY with HAVING, Subqueries, String and Mathematical Functions, and creating complex queries.

No prior programming experience is required. The course starts with SQL basics and gradually moves to advanced topics.

Yes, this course is perfect for data analysts, database administrators, developers, and anyone who works with data.

Complete SQL Masterclass: from Basics to Advance Level

(4.7)

6hr 3min

₹1999 ₹3598

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Complete SQL Masterclass: from Basics to Advance Level

Sekhar Metla

Here’s what you will learn?

This Course Includes

Course Description

Course Content

Getting Started

Introduction 02m

Getting started on Windows, macOS, and Linux 01m

How to ask great questions 01m

FAQ’s 01m

Introduction to PostgreSQL

What is PostgreSQL ? 03m

Why choose PostgreSQL? Futures and Benefits 04m

Understanding the PostgreSQL Ecosystem 02m

Setting up PostgreSQL Server Environment

Installation and Setup (Windows) 14m

Installation Steps for macOS and Linux 06m

Exploring pgAdmin and Command-Line Tools 10m

PostgreSQL Fundamentals

Relational Database Concepts 06m

Data Types and Schemas 05m

Creating and Managing Databases 06m

Database Tables

CREATE a Table using pgAdmin 12m

ALTER a Table (Modification) 08m

DELETE a Table 04m

CREATE a Table using SQL 09m

SQL Commands (CRUD Functionality) Queries

CREATE Operation (Insert Data) 05m

READ Operation (Select Data) 04m

UPDATE Operation (Modify Data) 04m

DELETE Operation (Remove Data) 02m

Mastering the Basics of SQL

SQL Statement Basics 03m

SELECT Statement 02m

Eliminating Duplicates with SELECT DISTINCT 04m

COUNT() Column AS Statement for Dashboards 02m

Data Management: Data Row Filtering Techniques

SELECT and WHERE Clause 03m

SELECT and WHERE: Filtering Data in SQL 06m

Sorting Data with the ORDER BY Clause 04m

Efficient Data Selection with the LIMIT Clause 02m

Using LIMIT with an Offset 02m

Data Management: Aggregate Functions in SQL

Using SUM() in SQL: Calculating Total Values 07m

Calculating Averages with the AVG() Function in SQL 03m

Finding the Minimum Value with the MIN() Function in SQL 02m

Extracting the Maximum Value with the MAX() Function in SQL 02m

Concatenating Values with STRING_AGG() in SQL 05m

Analyzing Data Variance with the VARIANCE() Function in SQL 05m

Calculating Standard Deviation with the STDDEV() Function in SQL 04m

Counting Unique Values with COUNT(DISTINCT) in SQL 04m

Data Management: Advanced Aggregate Functions in SQL

Grouping Data Efficiently with the GROUP BY Clause 10m

Advanced Data Filtering Leveraging the HAVING Clause in SQL 03m

Data Management: JOINS in SQL - Combining Data Across Tables

Introduction to JOINS in SQL: Combining Data Across Tables 06m

Writing INNER JOIN: Retrieving Data from Multiple Tables 16m

Using LEFT JOIN: Retrieving All Records from Left Table 02m

Right JOIN in SQL: Retrieving Data from the Right Table 01m

Using FULL OUTER JOIN: Combining Results from Both Tables 01m

Self JOIN in SQL: Joining a Table to itself 05m

Cross Join in SQL: Producing Cartesian Products 10m

Data Management: Mastering SQL Constraints for Data Integrity

Enforcing Non-Null Values with the NOT NULL Constraint 11m

Ensuring Unique Data with the UNIQUE Constraint 08m

Uniquely Identifying Records with the PRIMARY KEY Constraint 07m

Maintaining Referential Integrity with the FOREIGN KEY Constraint 11m

Validating Data with the CHECK Constraint 09m

Providing Default Values with the DEFAULT Constraint 04m

Optimizing Queries with the INDEX Constraint 09m

Database Management: Advanced SQL Techniques for Data Mastery

Mastering Timestamps: Working with Date and Time in SQL 06m

Mathematical Functions in PostgreSQL: Beyond Basic Arithmetic 04m

String Manipulation Made Easy: Transform and Analyze Text Data 03m

Unlocking the Power of Subqueries in PostgreSQL 03m

Conditional Logic in SQL: Using CASE for Advanced Filtering 02m

Database Management: Ensuring Data Security with Backup and Restore

Mastering Database Backups: Ensuring Data Integrity 06m