SQL & PostgreSQL for Beginners: Become an SQL Expert

BY
Udemy

Acquire a detailed understanding of the principles of SQL and PostgreSQL for writing SQL queries to become certified SQL developers.

Mode

Online

Fees

₹ 649 4099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

PostgreSQL is a sophisticated object-relational database management system that employs structured query language as well as its procedural language, PL/pgSQL. PostgreSQL is simple to operate and comes with a complete complement of RDBMS database characteristics and data handling capabilities. SQL & PostgreSQL for Beginners: Become an SQL Expert online certification is designed by Jon Avis - SQL Instructor & IT Systems Engineer and is delivered by Udemy.

SQL & PostgreSQL for Beginners: Become an SQL Expert online training incorporates 11.5 hours of self-paced video-based learning materials accompanied by 28 downloadable resources and 2 articles which teach the participants all the necessary techniques to create database databases and perform data analysis using SQL. With SQL & PostgreSQL for Beginners: Become an SQL Expert online classes, participants will be taught about data manipulation, data analysis, grouping data, database relationships, SQL queries, subqueries, and much more.

The highlights

  • Certificate of completion
  • Self-paced course
  • 11.5 hours of pre-recorded video content
  • 2 articles 
  • 28 downloadable resources

Program offerings

  • Online course
  • Learning resources
  • 30-day money-back guarantee
  • Unlimited access
  • Accessible on mobile devices and tv

Course and certificate fees

Fees information
₹ 649  ₹4,099
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Database knowledge Sql knowledge

After completing the SQL & PostgreSQL for Beginners: Become an SQL Expert certification course, participants will gather detailed knowledge of the concepts involved with PostgreSQL and SQL for activities like database design, data analysis, and data manipulation. In this SQL course, participants will explore the methodologies involved with SQL queries, subqueries, joins, aggregate functions, and grouping data. In this PostgreSQL certification, participants will also acquire an understanding of the concepts like database relationships.

The syllabus

Course Introduction

  • Course Introduction
  • A Few Notes on this Course

Introduction to Databases, SQL and PostgreSQL

  • What is a Database?
  • Relational Databases and SQL
  • Installing PostgreSQL for Mac
  • Installing PostgreSQL for Windows

SQL & PostgreSQL : Data Definition Language - Creating Our Movie Database

  • Section Introduction
  • Database Tables
  • Data Types Explained
  • Primary Keys and Foreign Keys
  • Unique, Not Null and Check Constraints
  • Creating Our First Table
  • Creating the Actors Table
  • Creating a Table with a Foreign Key
  • Creating the Movie Revenues Table
  • Creating a Junction Table
  • Modifying Tables Part 1: Adding Columns
  • Modifying Tables Part 2: Changing a Columns Data Type
  • Deleting Tables from a Database
  • Challenge: Data Definition Language
  • Solution: Data Definition Language
  • Section Summary

SQL & PostgreSQL: Data Manipulation Language

  • Section Introduction
  • Inserting Data into a Table
  • Updating Data in a Table
  • Deleting Data from a Table
  • Inserting Data into Our Movie Data Database
  • Challenge: Data Manipulation Language
  • Solution: Data Manipulation Language
  • Section Summary

SQL & PostgreSQL : Retrieving Data from a Table - Select Queries

  • Section Introduction
  • Select Queries
  • Where Clauses
  • Logical Operators
  • Challenge 1: Select Queries
  • Solution 1: Select Queries
  • In, Not In
  • Like
  • Between
  • Challenge 2: Select Queries
  • Solution 2: Select Queries
  • Order By
  • Limiting the Number of Results
  • Fetch
  • Distinct Values
  • Challenge 3: Select Queries
  • Solution 3: Select Queries
  • Null Values
  • Setting a Column Name Alias
  • Concatenation
  • Challenge 4: Select Queries
  • Solution 4: Select Queries
  • Section Summary

SQL & PostgreSQL : Aggregate Functions and Grouping Data

  • Section Introduction
  • Aggregate Functions Explained
  • Count Aggregate Functions
  • Sum Aggregate Function
  • Min and Max Aggregate Functions
  • Average Aggregate Functions
  • Challenge 1: Aggregate Functions
  • Solution 1: Aggregate Functions
  • Grouping Data
  • Having Clauses
  • Challenge 2: Aggregate Functions
  • Solution 2: Aggregate Functions
  • Mathematical Operators
  • Section Summary

Database Relationships

  • Section Introduction
  • What Are Database Relationships?
  • One to One Relationships
  • One to Many Relationships
  • Many to Many Relationships
  • (Optional) Challenge: Database Relationships
  • Solution: Database Relationships
  • Section Summary

SQL & PostgreSQL: Joining Tables

  • Section Introduction
  • SQL Joins Explained
  • Inner Joins Part 1
  • Inner Joins Part 2
  • Inner Joins Part 3
  • Challenge 1: Joins
  • Solution 1: Joins
  • Left Joins
  • Right Joins
  • Full Joins
  • Challenge 2: Joins
  • Solutions 2: Joins
  • Joining More Than Two Tables
  • Challenge 3: Joins
  • Solution 3: Joins
  • Union
  • Union All
  • Challenge 4: Joins
  • Solution 4: Joins
  • Intersect
  • Except
  • Challenge 5: Joins
  • Solution 5: Joins
  • Section Summary

SQL & PostgreSQL: Subqueries

  • Section Introduction
  • Subqueries Explained
  • Uncorrelated Subqueries Part 1
  • Uncorrelated Subqueries Part 2
  • Challenge 1: Subqueries
  • Solution 1: Subqueries
  • Correlated Subqueries
  • Challenge 2: Subqueries
  • Solution 2: Subqueries
  • Summary

SQL & PostgreSQL: String Functions

  • Section Introduction
  • Cloning a Database
  • Upper and Lower String Functions
  • Initcap Function
  • Left and Right String Functions
  • Reverse Function
  • Challenge 1: String Functions
  • Solution 1: String Functions
  • Substring Function
  • Replace Function
  • Split Part Function
  • Using the Cast Operator to Apply String Functions to Non-String Data Types
  • Challenge 2: String Functions
  • Solution 2: String Functions
  • Summary

Bonus Material

  • Bonus Lecture

Instructors

Mr Jon Avis

Mr Jon Avis
IT Systems Engineer
Udemy

Articles

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