SQL Joins (INNER, LEFT, RIGHT, FULL)

Final Quiz

Dhaval Patel

Data Entrepreneur | YouTuber | Ex - Bloomberg, Nvidia

I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.

Hemanand Vadivel

Ex- Data Analytics Manager, 8+ Years in Europe, Microsoft Certified, Certified Supply Chain Professional

I’m a mechanical engineer who transitioned to a full time Data & Analytics manager in the UK & Germany by teaching myself Power BI, excel & anything else that was required to solve the problem. I have worked with complex data across Supply Chain, Sales, Marketing, Revenue Management, Finance and HR functions over the last 8 years to deliver effective solutions. To me, Analytics is an extra sensory organ that anyone can develop to become a superhuman at work. I have conducted several workshops and internal training to help non-technical people to become superhuman at work and now, really excited for this opportunity to share all that knowledge with you in this course.

SQL Joins (INNER, LEFT, RIGHT, FULL)

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SQL Joins (INNER, LEFT, RIGHT, FULL)

In this lecture, we will discuss SQL Joins (Inner, Left, Right and Full)

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Contents

1. Course Overview

Who can Enroll in this Course? Any Prerequisites?

What Type of Computer do I Need for this Course?

Course Outline

2. Introduction

How Learning SQL can Help You in Your Career

Who is Peter Pandey?

Peter Pandey’s Early Life and SQL

3. SQL Basics: Data Retrieval - Single Table

Install MySQL: Windows

Install MySQL: Linux, Mac

Import Movies Dataset in MySQL

Retrieve Data Using Text Query (SELECT, WHERE, DISTINCT, LIKE)

Exercise - Retrieve Data Using Text Query (SELECT, WHERE, DISTINCT, LIKE)

Retrieve Data Using Numeric Query (BETWEEN, IN, ORDER BY, LIMIT, OFFSET)

Exercise - Retrieve Data Using Numeric Query (BETWEEN, IN, ORDER BY, LIMIT, OFFSET)

Summary Analytics (MIN, MAX, AVG, GROUP BY)

Exercise - Summary Analytics (MIN, MAX, AVG, GROUP BY)

HAVING Clause

Calculated Columns (IF, CASE, YEAR, CURYEAR)

Exercise - Calculated Columns (IF, CASE, YEAR, CURYEAR)

The Data God’s Blessing

Quiz

4. SQL Basics: Data Retrieval - Multiple Tables

Why do We Need Multiple Tables?

SQL Joins (INNER, LEFT, RIGHT, FULL)

Exercise - SQL Joins (INNER, LEFT, RIGHT, FULL)

Cross Join

Analytics on Tables

Join More Than Two Tables

Exercise - Join More Than Two Tables

Quiz

5. SQL Basics: Complex Queries

Subqueries

ANY, ALL Operators

Co-Related Subquery

Exercise: Subqueries

Common Table Expression (CTE)

CTE Benefits & Other Applications

Exercise: CTE

Peter Pandey Flexes his SQL Skills

Quiz

6. SQL Basics: Database Creation & Updates

Database Normalization and Data Integrity

Entity Relationship Diagram (ERD)

Mentor Talk: Art of Googling

Data Types: Numeric (INT, DECIMAL, FLOAT, DOUBLE)

Data Types: String (VARCHAR, CHAR, ENUM)

Data Types: Date, Time (DATETIME, DATE, TIME, YEAR, TIMESTAMP)

Data Types: JSON, Spatial (JSON, GEOMETRY)

Luck Favors the LinkedIn Post

Primary key

Foreign Key

Create a Database From an Entity Relationship Diagram - ERD

Import Data From a CSV File Into a Database

Insert Statement

Update and Delete

I Need a Favour

Expect the Unexpected: The Intermission Scene

Quiz

7. AtliQ Hardware & Problem Statement

The Rise of Databases at AtliQ

Relational vs No-SQL Database

AtliQ Hardware’s Business Model

Profit & Loss Statement

ETL, Data Warehouse, OLAP vs OLTP, Data Catalog

Fact vs Dimension Table, Star vs Snowflake Schema, Data Import

Simplified: What is Kanban?

Quiz

8. SQL Advanced: Finance Analytics

Backlog Grooming Meeting: Gross Sales Report

User-Defined SQL Functions

Exercise: User-Defined SQL Functions

Gross Sales Report: Monthly Product Transactions

Gross Sales Report: Total Sales Amount

Exercise: Yearly Sales Report

Stored Procedures: Monthly Gross Sales Report

Stored Procedure: Market Badge

Benefits of Stored Procedures