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Learn SQL Using PostgreSQL- From Zero to Hero

  • Development
  • Feb 13, 2025
SynopsisLearn SQL Using PostgreSQL: From Zero to Hero, available at $...
Learn SQL Using PostgreSQL- From Zero to Hero  No.1

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

  • 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
  • Who Should Attend

  • Someone wanting to master PostgreSQL and SQL query language
  • Anyone wanting to learn advanced query expressions
  • Target Audiences

  • Someone wanting to master PostgreSQL and SQL query language
  • Anyone wanting to learn advanced query expressions
  • 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

  • Learn SQL Using PostgreSQL- From Zero to Hero  No.2
    Will Bunker
    Cofounder of bootstrapped company that became Match.com
  • Rating Distribution

  • 1 stars: 34 votes
  • 2 stars: 63 votes
  • 3 stars: 348 votes
  • 4 stars: 1285 votes
  • 5 stars: 1676 votes
  • Frequently Asked Questions

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