Learn SQL Using PostgreSQL- From Zero to Hero
- Development
- Feb 13, 2025

Learn SQL Using PostgreSQL: From Zero to Hero, available at $84.99, has an average rating of 4.52, with 189 lectures, based on 3406 reviews, and has 18206 subscribers.
You will learn about Perform sophisticated queries Join tables together Use Group By to answer questions on aggregated date Create and modifying tables Create indexes to improve search speed Put in constraints to keep data clean Use pgAdmin tool Learn recursive queries How views make accessing data simpler Subqueries Sequences to auto increment fields Common Table Expressions Conditional Expressions Window Functions How to handle date and time data SQL Functions Transactions and Concurrency Control PL/pgSQL Functions Triggers Composite Data Types Array Data Types This course is ideal for individuals who are Someone wanting to master PostgreSQL and SQL query language or Anyone wanting to learn advanced query expressions It is particularly useful for Someone wanting to master PostgreSQL and SQL query language or Anyone wanting to learn advanced query expressions.
Enroll now: Learn SQL Using PostgreSQL: From Zero to Hero
Summary
Title: Learn SQL Using PostgreSQL: From Zero to Hero
Price: $84.99
Average Rating: 4.52
Number of Lectures: 189
Number of Published Lectures: 182
Number of Curriculum Items: 189
Number of Published Curriculum Objects: 182
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Learning SQL was one of the most valuable skills I learned while building Match. ?We had one of the largest instances of Microsoft SQL Server in the 90s with millions of records to keep the site running. ?The better we got at SQL, the better we could make the site work for our users and answers sophisticated questions about our users. ?
I want to teach you how to use PostgreSQL. ?We will walk through
Basic selection statements
Joining multiple tables together
Grouping records to get aggregate data
Inserting, updating and deleting records
Creating tables and indexes
Subqueries to create sophisticated reports
Table constraints to keep data clean
Sequences to create auto incrementing fields
CTE – common table expressions that include recursive queries
Views to simply accessing complex queries
Conditional Expressions for queries
Window functions to combine regular queries with aggregate data
How to work with date, time and intervals
Create SQL Functions to capture complex statements
Create PL/pgSQL Functions that allow programming with if/then and loops
Triggers
Array data types
Composite data types
Transactions and concurrency control
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Installing PostgreSQL and pgAdmin
Lecture 1: Installing PostgreSQL on Mac
Lecture 2: Installing PostgreSQL on Windows
Lecture 3: Installing PostgreSQL on Ubuntu
Lecture 4: Install Northwind Database
Lecture 5: Install Some Additional Databases.
Chapter 3: Simple Selection of All Records
Lecture 1: Selecting All Data From a Table
Lecture 2: Selecting Specific Fields
Lecture 3: Selecting Distinct Values
Lecture 4: Counting Results
Lecture 5: Combining Fields in SELECT
Lecture 6: Practice What Youve Learned
Chapter 4: Using WHERE to Select Records
Lecture 1: What If You Dont Want All Records
Lecture 2: Searching For Specific Text
Lecture 3: Searching Numeric Fields
Lecture 4: Searching Date Fields
Lecture 5: WHERE Using Logical AND Operator
Lecture 6: WHERE Using Logical OR Operator
Lecture 7: WHERE Using Logical NOT Operator
Lecture 8: WHERE Combining AND, OR, and NOT
Lecture 9: Using BETWEEN
Lecture 10: Using IN
Lecture 11: Practice What Youve Learned
Chapter 5: Schemas
Lecture 1: Schema Basics
Chapter 6: Using psql To Connect To Postgres
Lecture 1: Connecting With psql
Lecture 2: Eliminate Typing Connection Parameters
Lecture 3: Databases In psql
Lecture 4: Schemas In psql
Chapter 7: Intermediate SELECT Statements
Lecture 1: ORDER BY
Lecture 2: Using MIN and MAX Functions
Lecture 3: Using AVG and SUM
Lecture 4: LIKE to Match Patterns
Lecture 5: Renaming Columns With Alias
Lecture 6: LIMIT to Control Number of Records Returned
Lecture 7: NULL Values
Lecture 8: Practice What Youve Learned
Chapter 8: Joining multiple tables together
Lecture 1: Diagramming Table Relationships
Lecture 2: Grabbing Information From Two Tables
Lecture 3: Grabbing Information From Multiple Tables
Lecture 4: Left Joins
Lecture 5: Right Joins
Lecture 6: Full Joins
Lecture 7: Self Joins
Lecture 8: USING To Reduce Typing
Lecture 9: Even Less Typing With NATURAL
Lecture 10: Practice What Youve Learned
Chapter 9: Grouping and Aggregation Functions
Lecture 1: Group By
Lecture 2: Use HAVING to Filter Groups
Lecture 3: Grouping Sets
Lecture 4: Rollup
Lecture 5: Cube – Rollup On Steroids
Chapter 10: Combining Queries
Lecture 1: Union
Lecture 2: Intersect
Lecture 3: Except
Chapter 11: Subqueries
Lecture 1: Subquery Using EXISTS
Lecture 2: Subquery Using ANY and ALL
Lecture 3: IN Using Subquery
Chapter 12: Modifying Data In Tables: INSERT, UPDATE and DELETE
Lecture 1: INSERT INTO
Lecture 2: UPDATE
Lecture 3: DELETE
Lecture 4: SELECT INTO
Lecture 5: INSERT INTO SELECT
Lecture 6: Returning Data From Update, Delete, and Insert
Chapter 13: Indexes and Performance Tuning
Lecture 1: What Are Indexes?
Lecture 2: CREATE INDEX
Lecture 3: DROP INDEX
Lecture 4: How To Kill Runaway Queries
Lecture 5: Using Explain To See Query Plan
Lecture 6: Use Analyze To Update Table Statistics
Lecture 7: How Is Query Plan Cost Calculated
Lecture 8: Using Indexes On More Than One Field
Lecture 9: Expression Indexes
Lecture 10: Types Of Indexes
Lecture 11: Speeding Up Text Matching
Chapter 14: Database Design and Normalization
Lecture 1: Design Process Overview
Lecture 2: Database Terminology
Lecture 3: A Design Process
Lecture 4: Finding Mission Statement And Ojectives
Lecture 5: Analyzing Current Systems
Lecture 6: Create Table Structure
Lecture 7: Establishing Keys
Lecture 8: Specifying Fields
Lecture 9: Relationships Between Tables
Lecture 10: Business Rules
Lecture 11: Establish Needed Views
Lecture 12: Double Checking Data Integrity
Instructors

Will Bunker
Cofounder of bootstrapped company that became Match.com
Rating Distribution
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