PostgreSQL- Advanced SQL Queries and Data Analysis

PostgreSQL: Advanced SQL Queries and Data Analysis, available at $54.99, has an average rating of 4.09, with 69 lectures, based on 262 reviews, and has 3340 subscribers.

You will learn about Setup PostgreSQL Create Tables Create Views Update Views Create Stored Procedures Create Triggers Manage Triggers Create Analytic Functions Create Aggregate Functions Create Row number functions Join Tables Use various Operators This course is ideal for individuals who are Beginner SQL Developer or Beginner PostgreSQL Developer or Data Analyst or Anyone who wants to learn about PostgreSQL It is particularly useful for Beginner SQL Developer or Beginner PostgreSQL Developer or Data Analyst or Anyone who wants to learn about PostgreSQL.

Enroll now: PostgreSQL: Advanced SQL Queries and Data Analysis

Summary

Title: PostgreSQL: Advanced SQL Queries and Data Analysis

Price: $54.99

Average Rating: 4.09

Number of Lectures: 69

Number of Published Lectures: 64

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 64

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Setup PostgreSQL

Create Tables

Create Views

Update Views

Create Stored Procedures

Create Triggers

Manage Triggers

Create Analytic Functions

Create Aggregate Functions

Create Row number functions

Join Tables

Use various Operators

Who Should Attend

Beginner SQL Developer

Beginner PostgreSQL Developer

Data Analyst

Anyone who wants to learn about PostgreSQL

Target Audiences

Beginner SQL Developer

Beginner PostgreSQL Developer

Data Analyst

Anyone who wants to learn about PostgreSQL

PostgreSQL is commonly known as Postgres and it is also? open source database. There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common relational database and data science tasks, including writing advanced queries,data analysis ,? finding, exploration, and extraction within relational databases.?

What you will learn includes:
Introduction PostgreSQL Triggers
Creating Triggers
Managing Triggers
Introduction to Views
How to create views
Modifying and Removing Views
Introduction to Updatable Views
Creating Updatable Views
Introduction to Materialized Views
Creating Materialized Views
Introduction to Stored Procedures
Introduction to Aggregate Functions
Illustrating various types of Aggregate functions
Introduction to Analytic Functions
Illustrating various Analytic functions
Row Number Functions
Using various types of Operators
Introduction to Table Joins
Using various types of joins
Windowing functions for working with ordered data sets
Installing PostgreSQL
Verify postgresql installation
Postgresql INNER JOIN
Postgres LIKE Operator
Postgresql OR Operator
Server service
Sequences
Schema
Retrieving all Data from Table
Loading sample database
Postgresql UNION Operator
PostgreSQL UNION ALL Operator
PostgreSQL FULL OUTER JOIN
PostgreSQL CROSS JOIN
PostgreSQL combining AND | OR? Operator
PostgreSQL AND Operator
PostgreSQL NATURAL JOIN Operator
PostgreSQL EXCEPT Operator
PostgreSQL INTERSECT Operator
PostgreSQL Left Join
PostgreSQL IN Operator
Cast and Operators

The course will teach you how to aggregate data,analyse data ,retrieve data from multiple tables using table joins and write more advanced queries.

Course Curriculum

Chapter 1: Installation and Setup

Lecture 1: What is PostgreSQL

Lecture 2: PostgreSQL System Architecture

Lecture 3: Who is using PostgreSQL

Lecture 4: Minimum Requirements

Lecture 5: Installing PostgreSQL on Windows 10

Lecture 6: Connecting to a PostgreSQL Database

Lecture 7: Installing PostgreSQL MacOS

Lecture 8: Load Sample Database

Lecture 9: Creating a new Table

Lecture 10: Populating a Table

Lecture 11: Query a Table

Chapter 2: PostgreSQL Server and Database Objects

Lecture 1: Server Service

Lecture 2: Schema

Lecture 3: Tablespace

Lecture 4: Functions

Lecture 5: Cast and Operators

Lecture 6: Sequence

Lecture 7: Extensions

Lecture 8: Introduction to stored proceedures

Lecture 9: Creating a function

Chapter 3: Some PostgreSQL Operators

Lecture 1: UNION Operator

Lecture 2: UNION ALL operator

Lecture 3: INTERSECT Operator

Lecture 4: EXCEPT Operator

Lecture 5: IN Operator

Lecture 6: AND Operator

Lecture 7: OR Operator

Lecture 8: Using AND with OR

Lecture 9: LIKE Operator

Chapter 4: Table Joins

Lecture 1: Inner Joins

Lecture 2: Left Join

Lecture 3: Full Outer Join

Lecture 4: Cross Join

Lecture 5: Natural Join

Chapter 5: Aggregate Functions

Lecture 1: Introduction to Aggregate Functions

Lecture 2: AVG Function

Lecture 3: COUNT Function

Lecture 4: MAX Function

Lecture 5: MIN Function

Lecture 6: SUM Function

Chapter 6: Triggers

Lecture 1: Introduction to PostgreSQL Triggers

Lecture 2: Creating your first trigger : Part 1

Lecture 3: Creating your first trigger : Part 2

Lecture 4: Creating your first trigger : Part 3

Lecture 5: Managing Triggers

Chapter 7: PostgreSQL Views

Lecture 1: Introduction to Views

Lecture 2: Benefits of using Views

Lecture 3: Creating a View

Lecture 4: Modifying and Removing Views

Lecture 5: Introduction to Updatable Views

Lecture 6: Creating Updatable Views

Lecture 7: Introduction to Materialized Views

Lecture 8: Creating a Materialized View

Chapter 8: Analytic Functions

Lecture 1: Introduction to Analytic Functions

Lecture 2: Creating Sample Tables

Lecture 3: Using AVG as a Window Function

Lecture 4: ROW Number Functions

Lecture 5: Rank Functions

Lecture 6: Dense Rank Functions

Lecture 7: First Value Function

Lecture 8: Last Function

Lecture 9: LAG Function

Lecture 10: LEAD Function

Lecture 11: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 26 votes

2 stars: 34 votes

3 stars: 63 votes

4 stars: 77 votes

5 stars: 62 votes

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