The Complete SQL Masterclass: From Basics to Advanced

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.

Sekhar Metla

Instructor

Bestseller Top Rated

Included with Data Science & AI/ML Pack

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: 7
Duration: 7 days (Avg)

TD Assessment Available
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

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.

(4.4)

6hr 3min

₹1999

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The Complete SQL Masterclass: From Basics to Advanced

Sekhar Metla

What you will learn?

This Course Includes

Course Description

Course Content

Getting Started

Introduction 2m

Getting started on Windows, macOS, and Linux 1m

How to ask great questions 1m

FAQ’s 1m

Introduction to PostgreSQL

What is PostgreSQL 3m

Why Choose PostgreSQL? Futures and Benefits 4m

Understanding the PostgreSQL Ecosystem 2m

Setting up PostgreSQL Server Environment

Installation and setup (Windows) 14m

Installation steps for macOS and Linux 6m

Exploring pgAdmin and Command-Line Tools 10m

PostgreSQL Fundamentals

Relational Database Concepts 6m

Data Types and Schemas 5m

Creating and Managing Databases 6m

Database Tables

CREATE a table using pgAdmin 12m

ALTER a table (modification) 8m

DELETE a table 4m

CREATE a table using SQL 9m

SQL Commands (CRUD functionality) Queries

CREATE operation (Insert Data) 5m

READ operation (Select Data) 4m

UPDATE operation (Modify Data) 4m

DELETE operation (Remove Data) 2m

Mastering the Basics of SQL

SQL statement basics 3m

SELECT statement 2m

Eliminating Duplicates with SELECT DISTINCT 4m

COUNT() Column AS statement for Dashboards 2m

Data Management: Data Row Filtering Techniques

SELECT and WHERE Clause 3m

SELECT and WHERE: Filtering Data in SQL 6m

Sorting Data with the ORDER BY Clause 4m

Efficient Data Selection with the LIMIT Clause 2m

Using LIMIT with an Offset 2m

Data Management: Aggregate Functions in SQL

Using SUM() in SQL: Calculating Total Values 7m

Calculating Averages with the AVG() Function in SQL 3m

Finding the Minimum Value with the MIN() Function in SQL 2m

Extracting the Maximum Value with the MAX() Function in SQL 2m

Concatenating Values with STRING_AGG() in SQL 5m

Analyzing Data Variance with the VARIANCE() Function in SQL 5m

Calculating Standard Deviation with the STDDEV() Function in SQL 4m

Counting Unique Values with COUNT(DISTINCT) in SQL 4m

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 3m

Data Management: JOINS in SQL - Combining Data Across Tables

Introduction to JOINS in SQL: Combining Data Across Tables 6m

Writing INNER JOIN: Retrieving Data from Multiple Tables 16m

Using LEFT JOIN: Retrieving All Records from Left Table 2m

Right JOIN in SQL: Retrieving Data from the Right Table 1m

Using FULL OUTER JOIN: Combining Results from Both Tables 1m

Self JOIN in SQL: Joining a Table to Itself 5m

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 8m

Uniquely Identifying Records with the PRIMARY KEY Constraint 7m

Maintaining Referential Integrity with the FOREIGN KEY Constraint 11m

Validating Data with the CHECK Constraint 9m

Providing Default Values with the DEFAULT Constraint 4m

Optimizing Queries with the INDEX Constraint 9m

Database Management: Advanced SQL Techniques for Data Mastery

Mastering Timestamps: Working with Date and Time in SQL 6m

Mathematical Functions in PostgreSQL: Beyond Basic Arithmetic 4m

String Manipulation Made Easy: Transform and Analyze Text Data 3m

Unlocking the Power of Subqueries in PostgreSQL 3m

Conditional Logic in SQL: Using CASE for Advanced Filtering 2m

Database Management: Ensuring Data Security with Backup and Restore

Mastering Database Backups: Ensuring Data Integrity 6m