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. Whether you are 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 will 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 will 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 will 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!

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

1. Beginners who want to learn SQL and database management from scratch
2. Data Analysts and Scientists aiming to enhance their data querying and analysis skills
3. Software Developers looking to integrate database interactions into their applications
4. Business Professionals who want to work with data for informed decision-making
5. Students and Academics seeking foundational and advanced SQL knowledge for projects and research
6. IT Professionals aiming to manage and optimize databases effectively
7. Career Changers interested in transitioning into data-related roles or database administration
8. Anyone eager to master SQL and PostgreSQL for personal or professional growth

Course Content

Getting Started

Introduction

02:52
Getting started on Windows, macOS, and Linux

01:30
How to ask great questions

01:32
FAQ’s

01:24

Introduction to PostgreSQL

Setting up PostgreSQL Server Environment

PostgreSQL Fundamentals

Database Tables

SQL Commands (CRUD functionality) Queries

Mastering the Basics of SQL

Data Management: Data Row Filtering Techniques

Data Management: Aggregate Functions in SQL

Using SUM() in SQL: Calculating Total Values

07:19
Calculating Averages with the AVG() Function in SQL

03:21
Finding the Minimum Value with the MIN() Function in SQL

02:48
Extracting the Maximum Value with the MAX() Function in SQL

02:21
Concatenating Values with STRING_AGG() in SQL

05:37
Analyzing Data Variance with the VARIANCE() Function in SQL

05:45
Calculating Standard Deviation with the STDDEV() Function in SQL

04:42
Counting Unique Values with COUNT(DISTINCT) in SQL

04:46

Data Management: Advanced Aggregate Functions in SQL

Data Management: JOINS in SQL – Combining Data Across Tables

Data Management: Mastering SQL Constraints for Data Integrity

Database Management: Advanced SQL Techniques for Data Mastery

Database Management: Ensuring Data Security with Backup and Restore

Database Management: Capstone Project

Create a Database

01:37
Design the Schema -Company Management System

05:00
Insert Sample Data

02:09
Querying the Data

02:42
Optimizing the Database – Indexing

01:40
Optimizing the Database – Query Analysis

01:43
Optimizing the Database – Vacuum and Analyze

01:07
Optimizing the Database – Partitioning (for Large Data)

01:03
Backup and Restore – Backup the Database

01:34
Backup and Restore – Restore the Database

03:01

Database – Data Management: Managing Users and Roles

A course by

Sekhar Metla

Edindx

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The Complete SQL Masterclass From Basics to Advanced

Key Highlights:

What Will You Learn?

Requirements

Audience

Course Content

Getting Started

Introduction

Getting started on Windows, macOS, and Linux

How to ask great questions

FAQ’s

Introduction to PostgreSQL

What is PostgreSQL

Why Choose PostgreSQL? Futures and Benefits

Understanding the PostgreSQL Ecosystem

Setting up PostgreSQL Server Environment

Installation and setup (Windows)

Installation steps for macOS and Linux

Exploring pgAdmin and Command-Line Tools

PostgreSQL Fundamentals

Relational Database Concepts

Data Types and Schemas

Creating and Managing Databases

Quick reference notes – Cheat sheet on SQL

Database Tables

CREATE a table using pgAdmin

ALTER a table (modification)

DELETE a table

CREATE a table using SQL

SQL Commands (CRUD functionality) Queries

CREATE operation (Insert Data)

READ operation (Select Data)

UPDATE operation (Modify Data)

DELETE operation (Remove Data)

Mastering the Basics of SQL

SQL statement basics

SELECT statement

Eliminating Duplicates with SELECT DISTINCT

COUNT() Column AS statement for Dashboards

Data Management: Data Row Filtering Techniques

SELECT and WHERE Clause

SELECT and WHERE: Filtering Data in SQL

Sorting Data with the ORDER BY Clause

Efficient Data Selection with the LIMIT Clause

Using LIMIT with an Offset

Data Management: Aggregate Functions in SQL

Using SUM() in SQL: Calculating Total Values

Calculating Averages with the AVG() Function in SQL

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

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

Concatenating Values with STRING_AGG() in SQL

Analyzing Data Variance with the VARIANCE() Function in SQL

Calculating Standard Deviation with the STDDEV() Function in SQL

Counting Unique Values with COUNT(DISTINCT) in SQL

Data Management: Advanced Aggregate Functions in SQL

Grouping Data Efficiently with the GROUP BY Clause

Advanced Data Filtering Leveraging the HAVING Clause in SQL

Data Management: JOINS in SQL – Combining Data Across Tables

Introduction to JOINS in SQL: Combining Data Across Tables

Writing INNER JOIN: Retrieving Data from Multiple Tables

Using LEFT JOIN: Retrieving All Records from Left Table

Right JOIN in SQL: Retrieving Data from the Right Table

Using FULL OUTER JOIN: Combining Results from Both Tables

Self JOIN in SQL: Joining a Table to Itself

Cross Join in SQL: Producing Cartesian Products

Data Management: Mastering SQL Constraints for Data Integrity

Enforcing Non-Null Values with the NOT NULL Constraint

Ensuring Unique Data with the UNIQUE Constraint

Uniquely Identifying Records with the PRIMARY KEY Constraint

Maintaining Referential Integrity with the FOREIGN KEY Constraint

Validating Data with the CHECK Constraint

Providing Default Values with the DEFAULT Constraint

Optimizing Queries with the INDEX Constraint

Database Management: Advanced SQL Techniques for Data Mastery

Mastering Timestamps: Working with Date and Time in SQL

Mathematical Functions in PostgreSQL: Beyond Basic Arithmetic

String Manipulation Made Easy: Transform and Analyze Text Data

Unlocking the Power of Subqueries in PostgreSQL

Conditional Logic in SQL: Using CASE for Advanced Filtering

Database Management: Ensuring Data Security with Backup and Restore