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  • 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

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!

  • 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
  • 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
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  • Section 1 : Getting Started 4 Lectures 00:07:16

    • Lecture 1 :
    • 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 3 Lectures 00:10:24

    • Lecture 1 :
    • What is PostgreSQL
    • Lecture 2 :
    • Why Choose PostgreSQL? Futures and Benefits
    • Lecture 3 :
    • Understanding the PostgreSQL Ecosystem
  • Section 3 : Setting up PostgreSQL Server Environment 3 Lectures 00:31:16

    • Lecture 1 :
    • Installation and setup (Windows)
    • Lecture 2 :
    • Installation steps for macOS and Linux
    • Lecture 3 :
    • Exploring pgAdmin and Command-Line Tools
  • Section 4 : PostgreSQL Fundamentals 4 Lectures 00:18:02

    • Lecture 1 :
    • Relational Database Concepts
    • Lecture 2 :
    • Data Types and Schemas
    • Lecture 3 :
    • Creating and Managing Databases
    • Lecture 4 :
    • Quick reference notes - Cheat sheet on SQL
  • Section 5 : Database Tables 4 Lectures 00:34:39

    • Lecture 1 :
    • CREATE a table using pgAdmin
    • Lecture 2 :
    • ALTER a table (modification)
    • Lecture 3 :
    • DELETE a table
    • Lecture 4 :
    • CREATE a table using SQL
  • Section 6 : SQL Commands (CRUD functionality) Queries 4 Lectures 00:17:02

    • Lecture 1 :
    • CREATE operation (Insert Data)
    • Lecture 2 :
    • READ operation (Select Data)
    • Lecture 3 :
    • UPDATE operation (Modify Data)
    • Lecture 4 :
    • DELETE operation (Remove Data)
  • Section 7 : Mastering the Basics of SQL 4 Lectures 00:13:21

    • Lecture 1 :
    • SQL statement basics
    • Lecture 2 :
    • SELECT statement
    • Lecture 3 :
    • Eliminating Duplicates with SELECT DISTINCT
    • Lecture 4 :
    • COUNT() Column AS statement for Dashboards
  • Section 8 : Data Management: Data Row Filtering Techniques 5 Lectures 00:19:00

    • Lecture 1 :
    • SELECT and WHERE Clause
    • Lecture 2 :
    • SELECT and WHERE: Filtering Data in SQL
    • Lecture 3 :
    • Sorting Data with the ORDER BY Clause
    • Lecture 4 :
    • Efficient Data Selection with the LIMIT Clause
    • Lecture 5 :
    • Using LIMIT with an Offset
  • Section 9 : Data Management: Aggregate Functions in SQL 8 Lectures 00:36:35

    • Lecture 1 :
    • Using SUM() in SQL: Calculating Total Values
    • Lecture 2 :
    • Calculating Averages with the AVG() Function in SQL
    • Lecture 3 :
    • Finding the Minimum Value with the MIN() Function in SQL
    • Lecture 4 :
    • Extracting the Maximum Value with the MAX() Function in SQL
    • Lecture 5 :
    • Concatenating Values with STRING_AGG() in SQL
    • Lecture 6 :
    • Analyzing Data Variance with the VARIANCE() Function in SQL
    • Lecture 7 :
    • Calculating Standard Deviation with the STDDEV() Function in SQL
    • Lecture 8 :
    • Counting Unique Values with COUNT(DISTINCT) in SQL
  • Section 10 : Data Management: Advanced Aggregate Functions in SQL 2 Lectures 00:14:11

    • Lecture 1 :
    • Grouping Data Efficiently with the GROUP BY Clause
    • Lecture 2 :
    • Advanced Data Filtering Leveraging the HAVING Clause in SQL
  • Section 11 : Data Management: JOINS in SQL - Combining Data Across Tables 7 Lectures 00:43:46

    • Lecture 1 :
    • Introduction to JOINS in SQL: Combining Data Across Tables
    • Lecture 2 :
    • Writing INNER JOIN: Retrieving Data from Multiple Tables
    • Lecture 3 :
    • Using LEFT JOIN: Retrieving All Records from Left Table
    • Lecture 4 :
    • Right JOIN in SQL: Retrieving Data from the Right Table
    • Lecture 5 :
    • Using FULL OUTER JOIN: Combining Results from Both Tables
    • Lecture 6 :
    • Self JOIN in SQL: Joining a Table to Itself
    • Lecture 7 :
    • Cross Join in SQL: Producing Cartesian Products
  • Section 12 : Data Management: Mastering SQL Constraints for Data Integrity 7 Lectures 01:04:10

    • Lecture 1 :
    • Enforcing Non-Null Values with the NOT NULL Constraint
    • Lecture 2 :
    • Ensuring Unique Data with the UNIQUE Constraint
    • Lecture 3 :
    • Uniquely Identifying Records with the PRIMARY KEY Constraint
    • Lecture 4 :
    • Maintaining Referential Integrity with the FOREIGN KEY Constraint
    • Lecture 5 :
    • Validating Data with the CHECK Constraint
    • Lecture 6 :
    • Providing Default Values with the DEFAULT Constraint
    • Lecture 7 :
    • Optimizing Queries with the INDEX Constraint
  • Section 13 : Database Management: Advanced SQL Techniques for Data Mastery 5 Lectures 00:20:18

    • Lecture 1 :
    • Mastering Timestamps: Working with Date and Time in SQL
    • Lecture 2 :
    • Mathematical Functions in PostgreSQL: Beyond Basic Arithmetic
    • Lecture 3 :
    • String Manipulation Made Easy: Transform and Analyze Text Data
    • Lecture 4 :
    • Unlocking the Power of Subqueries in PostgreSQL
    • Lecture 5 :
    • Conditional Logic in SQL: Using CASE for Advanced Filtering
  • Section 14 : Database Management: Ensuring Data Security with Backup and Restore 2 Lectures 00:11:46

    • Lecture 1 :
    • Mastering Database Backups: Ensuring Data Integrity
    • Lecture 2 :
    • Restoring Databases: Ensuring Business Continuity
  • Section 15 : Database Management: Capstone Project 10 Lectures 00:19:03

    • Lecture 1 :
    • Create a Database
    • Lecture 2 :
    • Design the Schema - Company Management System
    • Lecture 3 :
    • Insert Sample Data
    • Lecture 4 :
    • Querying the Data
    • Lecture 5 :
    • Optimizing the Database – Indexing
    • Lecture 6 :
    • Optimizing the Database – Query Analysis
    • Lecture 7 :
    • Optimizing the Database – Vacuum and Analyze
    • Lecture 8 :
    • Optimizing the Database – Partitioning (for Large Data)
    • Lecture 9 :
    • Backup and Restore – Backup the Database
    • Lecture 10 :
    • Backup and Restore – Restore the Database
  • Section 16 : Database - Data Management: Managing Users and Roles 1 Lectures 00:03:53

    • Lecture 1 :
    • Login Group / Roles setup
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    Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
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I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions
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