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
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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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