The Complete Sql Masterclass From Basics To Advanced

Unlock the Power of PostgreSQL: Learn Database Management, Optimization, and Advanced Features

What you'll 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

Requirements

Basic Computer Skills – Familiarity with using a computer and navigating software

No Prior SQL Knowledge Needed – This course starts from the basics

A Computer with Internet Access – For downloading PostgreSQL, pgAdmin4, and course resources

Willingness to Learn – A keen interest in understanding databases and SQL

(Optional) Basic Understanding of Data – Helpful but not mandatory for beginners

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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Getting started on Windows, macOS, and Linux

Lecture 3 How to ask great questions

Lecture 4 FAQ’s

Section 2: Introduction to PostgreSQL

Lecture 5 What is PostgreSQL

Lecture 6 Why Choose PostgreSQL? Futures and Benefits

Lecture 7 Understanding the PostgreSQL Ecosystem

Section 3: Setting up PostgreSQL Server Environment

Lecture 8 Installation and setup (Windows)

Lecture 9 Installation steps for macOS and Linux

Lecture 10 Exploring pgAdmin and Command-Line Tools

Section 4: PostgreSQL Fundamentals

Lecture 11 Relational Database Concepts

Lecture 12 Data Types and Schemas

Lecture 13 Creating and Managing Databases

Section 5: Database Tables

Lecture 14 CREATE a table using pgAdmin

Lecture 15 ALTER a table (modification)

Lecture 16 DELETE a table

Lecture 17 CREATE a table using SQL

Section 6: SQL Commands (CRUD functionality) Queries

Lecture 18 CREATE operation (Insert Data)

Lecture 19 READ operation (Select Data)

Lecture 20 UPDATE operation (Modify Data)

Lecture 21 DELETE operation (Remove Data)

Section 7: Mastering the Basics of SQL

Lecture 22 SQL statement basics

Lecture 23 SELECT statement

Lecture 24 Eliminating Duplicates with SELECT DISTINCT

Lecture 25 COUNT() Column AS statement for Dashboards

Section 8: Data Management: Data Row Filtering Techniques

Lecture 26 SELECT and WHERE Clause

Lecture 27 SELECT and WHERE: Filtering Data in SQL

Lecture 28 Sorting Data with the ORDER BY Clause

Lecture 29 Efficient Data Selection with the LIMIT Clause

Lecture 30 Using LIMIT with an Offset

Section 9: Data Management: Aggregate Functions in SQL

Lecture 31 Using SUM() in SQL: Calculating Total Values

Lecture 32 Calculating Averages with the AVG() Function in SQL

Lecture 33 Finding the Minimum Value with the MIN() Function in SQL

Lecture 34 Extracting the Maximum Value with the MAX() Function in SQL

Lecture 35 Concatenating Values with STRING_AGG() in SQL

Lecture 36 Analyzing Data Variance with the VARIANCE() Function in SQL

Lecture 37 Calculating Standard Deviation with the STDDEV() Function in SQL

Lecture 38 Counting Unique Values with COUNT(DISTINCT) in SQL

Section 10: Data Management: Advanced Aggregate Functions in SQL

Lecture 39 Grouping Data Efficiently with the GROUP BY Clause

Lecture 40 Advanced Data Filtering Leveraging the HAVING Clause in SQL

Section 11: Data Management: JOINS in SQL - Combining Data Across Tables

Lecture 41 Introduction to JOINS in SQL: Combining Data Across Tables

Lecture 42 Writing INNER JOIN: Retrieving Data from Multiple Tables

Lecture 43 Using LEFT JOIN: Retrieving All Records from Left Table

Lecture 44 Right JOIN in SQL: Retrieving Data from the Right Table

Lecture 45 Using FULL OUTER JOIN: Combining Results from Both Tables

Lecture 46 Self JOIN in SQL: Joining a Table to Itself

Lecture 47 Cross Join in SQL: Producing Cartesian Products

Section 12: Data Management: Mastering SQL Constraints for Data Integrity

Lecture 48 Enforcing Non-Null Values with the NOT NULL Constraint

Lecture 49 Ensuring Unique Data with the UNIQUE Constraint

Lecture 50 Uniquely Identifying Records with the PRIMARY KEY Constraint

Lecture 51 Maintaining Referential Integrity with the FOREIGN KEY Constraint

Lecture 52 Validating Data with the CHECK Constraint

Lecture 53 Providing Default Values with the DEFAULT Constraint

Lecture 54 Optimizing Queries with the INDEX Constraint

Section 13: Database Management: Advanced SQL Techniques for Data Mastery

Lecture 55 Mastering Timestamps: Working with Date and Time in SQL

Lecture 56 Mathematical Functions in PostgreSQL: Beyond Basic Arithmetic

Lecture 57 String Manipulation Made Easy: Transform and Analyze Text Data

Lecture 58 Unlocking the Power of Subqueries in PostgreSQL

Lecture 59 Conditional Logic in SQL: Using CASE for Advanced Filtering

Section 14: Database Management: Ensuring Data Security with Backup and Restore

Lecture 60 Mastering Database Backups: Ensuring Data Integrity

Lecture 61 Restoring Databases: Ensuring Business Continuity

Section 15: Database Management: Capstone Project

Lecture 62 Create a Database

Lecture 63 Design the Schema - Company Management System

Lecture 64 Insert Sample Data

Lecture 65 Querying the Data

Lecture 66 Optimizing the Database – Indexing

Lecture 67 Optimizing the Database – Query Analysis

Lecture 68 Optimizing the Database – Vacuum and Analyze

Lecture 69 Optimizing the Database – Partitioning (for Large Data)

Lecture 70 Backup and Restore – Backup the Database

Lecture 71 Backup and Restore – Restore the Database

Section 16: Database - Data Management: Managing Users and Roles

Lecture 72 Login Group / Roles setup

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