Master SQL, Database Management & Design and learn to work with databases like PostgreSQL, MySQL + more. With Exercises!

What you'll learn
Become an expert in SQL and Database Concepts
Understand SQL vs NoSQL, MongoDB vs MySQL vs PostgreSQL
Add SQL, PostgreSQL, MySQL, Redis, Database Management/Design to your resume
Learn to perform efficient and performant SQL queries using best practices
Learn how Machine Learning, Data Science and Data Engineers use Big Data and databases
Apply for SQL developer, Database Administrator, Business Analyst, Backend Developer and Business Intelligence roles
Use the right SQL features to work with data efficiently and solve database problems
Database best practices to design and manage your company data
Learn to make business and market decisions based on user data
Learn how to scale databases by using things like Sharding, Replication, etc.
Create your own databases while using SQL to interact with the data
Use real-world data to generate insights and reports using SQL
Tons of exercises to practice what you learn and test your knowledge
Help Sales/Marketing/Product managers make better decisions based on data analysis
Advanced SQL topics like indexes, aggregates, caching to make your database queries efficient
Learn how databases are used in Web & Mobile Applications, Machine Learning and other fields
Learn how to handle user passwords and keep data safe
Work with SQL across multiple tables and multiple databases
Learn to use Redis for fast memory storage
Master SQL joins
Requirements
No prior tech experience is required. We will start from absolute zero!
You can use ANY operating system with this course: Windows, macOS, Linux. All users are all welcome!
Get ready to do tons of exercises and learn to love Databases and SQL!
Description
Just launched with all modern SQL and Databases (PostgreSQL, MySQL, + more) features for 2022! Join a live online community of over 600,000+ students and a course taught by industry experts that have actually worked both in Silicon Valley and Toronto managing databases. This is one of the most in demand tech skills in the world right now with SQL being used for many years to come (it has been around since the 1970s and going stronger than ever)!Using the latest best practices in SQL, Database Management and Database Design, this course is focused on efficiency. Never spend time on confusing, out of date, incomplete tutorials anymore. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.We guarantee you this is the most comprehensive online resource on Databases like PostgreSQL and MySQL. This project and exercise based course will introduce you to all of the modern toolchain of an SQL developer or anyone using a database in the workplace (Product Manager, Business Analyst/Intelligence, Data Analyst, Data Scientists, Machine Learning Engineer, Web Developer, Mobile Developer + any role requiring insights from data). Along the way, we will learn practical and real world skills that will get you hired. The curriculum is going to be very hands on as we walk you from start to finish of working with databases and SQL, all the way into learning how to scale databases, how to manage them, and even bonus material on working with Big Data, Caching using Redis, and connecting PostgreSQL to a Node.js server. We even talk about pros and cons of choosing an SQL Database vs NoSQL like MongoDB. We will start from the very beginning by teaching you SQL and Database Fundamentals and then going into advanced topics so you can make good decisions and work with any data that your company has no matter how complex!The topics covered are:- NoSQL (MongoDB) vs PostgreSQL, MySQL vs NewSQL- SQL Theory And Concepts- The Relational Model- SQL Basics- SQL Functions- Data Modification Language / DML- Data Query Language / DQL- Subqueries- Indexes- SQL Filtering / WHERE Statement- 3 Valued Logic- SQL JOINS- Window Functions- Date Filtering and Timestamps- SQL Aggregate Functions- SQL Operator Precedense- SQL ORDER BY- SQL GROUP BY- SQL Top Down Design- SQL Bottom Up Design- SQL Entity Relationship Diagram- SQL Normalization- Database Types- The role of a DBMS- Multi Table SELECT- The Software Development Lifecycle / SDLC- POSTGRES Role Management- POSTGRES Permission Management- POSTGRES Backup Strategies- POSTGRES Transaction Management/ SQL Transactions- POSTGRES/SQL Data Types- SQL Views- Redis Database- Elasticsearch- Connecting A Database To A Server/Web App (Node.js)- Data Engineering (Kafka, Hadoop, etc.)- Sharding- Replication- Backups- Vertical + Horizontal Scaling- Distributed vs Centralized Databases- Big Data + Analytics- Database Security (SQL Injections, Access Control, etc.)+ moreWith SQL you will be able to work with all databases like: PostgreSQL, MySQL, Oracle SQL, Microsoft SQL Server, IBM DB2, SQLite, MariaDB, Amazon Redshift, Presto, Apache Hive with Hadoop, and many many more because SQL is everywhere!You see, data is everywhere and it is the most valuable asset in the world. All the top companies need people that can work with data. That is where this course comes in. Unlike most tutorials out there, this course encompasses many fields working with many databases. Whether you want to get into the tech industry, you're a mobile or web developer, a data scientist, a machine learning engineer, a business analyst, even sales and marketing or you have your own company. Any role that requires you to work with data will need to know this valuable skill that is SQL (how to interact with databases, analyze, and use data). Here is the thing though. There are many courses on this topic. Let me tell you 3 reasons why this course is different from any other SQL/PostgreSQL/MySQL/Database tutorial online:1. In this course you will learn to work with not just 1 but many Databases like MySQL, PostgreSQL, Microsoft Server, Redis, and so much more. No prior programming or technical experience is necessary. We take you from absolute zero, all the way to mastery. We will go above and beyond to not just teach you SQL commands but to teach you advanced techniques, best practices, database design and how to think about performance, security, and scalability.2. This course is taught by actual professionals who have experience and have worked with databases for some of the largest companies in the world. Mo is a super star when it comes SQL. He has built software for the European Union, launched products for 5 Fortune 500 companies, and has consulted at Google. Andrei has worked on enterprise level apps for large tech firms in Silicon Valley as well as Toronto and has also taught others tech skills that got them into big companies like Google. By having both Andrei and Mo teach, you get to see different perspective and learn from 2 engineers as if you are working at a company together.3. We are going to have fun here. The course starts off with you getting hired at Keiko Corp to investigate their recent Database breach. Because we believe in learning by doing, you will be doing tons of real life assignments and exercises along the way, and eventually get to the point where you can help Keiko Corp solve their mystery by looking at their databases and analyzing hidden information. Our goals is that everyone has fun and is successful after completing the course :)This course is not about making you just watch along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner in SQL and Databases to someone that is in the top 10% of SQL and Database experts!Taught By:Andrei is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Tesla, Amazon, JP Morgan, IBM, UNIQLO etc. He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible.––––Mo is a Solutions Architect with over 7 years of experience in Software Architecture and Development. Having worked as a consultant for the majority of his career, he has seen it all.He has worked on global applications for multi-nationals, governments and Fortune 500 companies.Throughout his career he has seen every type of developer and development practice, and the one thing that he believes more than anything is that software development is a pragmatic team sport. Go fast alone, go far together!My main goal with instructing is to teach the foundational knowledge to set you up for life-long learning. Software and development practices change often, but when you have the right foundation adapting to the constant change becomes easy!See you inside the courses!

Overview

Section 1: Introduction

Lecture 1 Course Outline

Lecture 2 Join Our Online Classroom!

Lecture 3 Exercise: Meet Your Classmates and Instructor

Lecture 4 The Big Data Breach At Keiko Corp

Lecture 5 Monthly Coding Challenges, Free Resources and Guides

Section 2: History And Story Of Data

Lecture 6 What Is a Database?

Lecture 7 I Didn't Learn Anything, Try Again.

Lecture 8 Database Management System (DBMS)

Lecture 9 Exercise: Building Amazon

Lecture 10 Exercise: Building Amazon 2

Lecture 11 5 Types Of Databases

Lecture 12 Exercise: What Is A Database?

Lecture 13 Section Review

Section 3: Databases + SQL Fundamentals

Lecture 14 SQL Playground

Lecture 15 What Is SQL?

Lecture 16 What Is A Query?

Lecture 17 Exercise: Setting Up Your First Database

Lecture 18 Imperative vs Declarative

Lecture 19 History of SQL

Lecture 20 Optional: History of SQL Deep Dive

Lecture 21 Exercises: The Select Statement

Lecture 22 SQL Standards

Lecture 23 What Is A Database? Revisited

Lecture 24 Database Oriented Approach

Lecture 25 Exercise: SQL Starter Quiz

Lecture 26 Database Models

Lecture 27 Hierarchical And Networking Model

Lecture 28 Relational Model

Lecture 29 DBMS Revisited

Lecture 30 Relational Model Revisited

Lecture 31 Tables

Lecture 32 Columns

Lecture 33 Rows

Lecture 34 Primary And Foreign Keys

Lecture 35 OLTP vs OLAP

Lecture 36 Exercise: OLTP vs OLAP

Lecture 37 Exercise: Relational Model Quiz

Lecture 38 Endorsements On LinkedIN

Section 4: Environment Setup

Lecture 39 Why PostgreSQL

Lecture 40 Environment Tooling

Lecture 41 Having Trouble Registering A Serial Key For ValentinaDB?

Lecture 42 SQL Tooling Alternatives

Lecture 43 Command Line 101

Lecture 44 Getting Help With The Setup

Lecture 45 WINDOWS Setup

Lecture 46 Optional: Setting Up Windows For Command Line

Lecture 47 MAC Setup

Lecture 48 MAC Commandline tools

Lecture 49 LINUX Setup

Lecture 50 Importing The Databases

Lecture 51 Exercise: Imposter Syndrome

Section 5: SQL Deep Dive

Lecture 52 Query Along

Lecture 53 Starting With Query

Lecture 54 Exercise: Simple Queries

Lecture 55 Changing Column Names in a SELECT Query

Lecture 56 Concat Function

Lecture 57 What Is A Function In SQL?

Lecture 58 Aggregate Functions

Lecture 59 Exercise: Aggregate Functions

Lecture 60 Commenting Your Queries

Lecture 61 Common SELECT Mistakes

Lecture 62 Filtering Data

Lecture 63 AND and OR

Lecture 64 Exercise: Filtering Data

Lecture 65 The NOT Keyword

Lecture 66 Exercise: The Where Clause

Lecture 67 Comparison Operators

Lecture 68 Exercise: Comparison Operators

Lecture 69 Logical Operators

Lecture 70 Operator Precedence

Lecture 71 Operator Precedence 2

Lecture 72 Operator Precedence Extra

Lecture 73 Exercise: Operator Precedence

Lecture 74 Checking For NULL Values

Lecture 75 IS Keyword

Lecture 76 NULL Coalescing

Lecture 77 Exercise: Null Value Coalescing

Lecture 78 3 Valued Logic

Lecture 79 Exercise: 3 Valued Logic

Lecture 80 BETWEEN + AND

Lecture 81 Exercise: BETWEEN + AND

Lecture 82 IN Keyword

Lecture 83 Exercise: IN Keyword

Lecture 84 LIKE

Lecture 85 Exercise: Like Keyword

Lecture 86 Dates And Timezones

Lecture 87 Setting Up Timezones

Lecture 88 How Do We Format Date And Time?

Lecture 89 Timestamps

Lecture 90 Date Functions

Lecture 91 Date Difference And Casting

Lecture 92 Age Calculation

Lecture 93 Extracting Information

Lecture 94 Intervals

Lecture 95 Exercise: Date and Timestamp

Lecture 96 DISTINCT

Lecture 97 Exercise: Distinct Keyword

Lecture 98 Sorting Data

Lecture 99 Exercise Sorting Data

Lecture 100 Multi Table SELECT

Lecture 101 Inner Join

Lecture 102 Self Join

Lecture 103 Outer Join

Lecture 104 Less Common Joins

Lecture 105 Inner-Join Exercises

Lecture 106 USING Keyword

Section 6: Advanced SQL

Lecture 107 GROUP BY

Lecture 108 Group By Exercises

Lecture 109 HAVING Keyword

Lecture 110 Having Exercises

Lecture 111 Ordering Grouped Data

Lecture 112 Group By Mental Model

Lecture 113 Grouping Sets

Lecture 114 Rollup

Lecture 115 Window What?

Lecture 116 Looking Through The Window

Lecture 117 PARTITION BY

Lecture 118 Order By Acting Strange

Lecture 119 Using Framing In Window Function

Lecture 120 Solving For Current Salary

Lecture 121 FIRST_VALUE

Lecture 122 LAST_VALUE

Lecture 123 SUM

Lecture 124 ROW_NUMBER

Lecture 125 Window Function Exercises

Lecture 126 Conditional Statements

Lecture 127 Conditional Statement Exercise

Lecture 128 NULLIF

Lecture 129 NULLIF Exercise

Lecture 130 Views.What Are They Good For?

Lecture 131 View Syntax

Lecture 132 Using Views

Lecture 133 Views Exercises

Lecture 134 Indexes

Lecture 135 Index Types

Lecture 136 Index Algorithms

Lecture 137 Quick Note On Index Algorithms

Lecture 138 What Are Subqueries?

Lecture 139 Subqueries vs Joins

Lecture 140 Subquery Guidelines As Types

Lecture 141 Using Subqueries

Lecture 142 Quick Note: Titles For Employees

Lecture 143 Getting The Latest Salaries

Lecture 144 Subquery Operators

Lecture 145 Subquery Exercises

Section 7: Database Management

Lecture 146 Before We Get Started

Lecture 147 Time To Create Some Stuff!

Lecture 148 Types Of Databases In A RDBMS

Lecture 149 Default PostgreSQL Database

Lecture 150 Template Databases

Lecture 151 Creating A Database

Lecture 152 Database Organization

Lecture 153 Roles In Postgres

Lecture 154 Role Attributes And Creation

Lecture 155 Creating Users And Configuring Login

Lecture 156 Privileges

Lecture 157 Granting Privileges and Role Management

Lecture 158 Best Practices For Role Management

Lecture 159 Data Types & Boolean Type

Lecture 160 Storing Text

Lecture 161 Storing Numbers

Lecture 162 Storing Arrays

Lecture 163 Data Models And Naming Conventions

Lecture 164 CREATE TABLE

Lecture 165 Extra information on CREATE TABLE

Lecture 166 Column Constraints

Lecture 167 Table Constraints

Lecture 168 Regexes!

Lecture 169 UUID Explained

Lecture 170 Custom Data Types And Domains

Lecture 171 Creating The Tables For ZTM

Lecture 172 Extra information on ALTER TABLE

Lecture 173 Adding Students And Teachers

Lecture 174 Creating A Course

Lecture 175 Adding Feedback To A Course

Lecture 176 A Tale Of 2 Feedbacks

Lecture 177 SQL Exercises

Lecture 178 SQL Quiz

Lecture 179 Backups And Why They Are Important

Lecture 180 Backing Up In Postgres

Lecture 181 Restoring A Database

Lecture 182 Transactions

Section 8: Solving The Mystery

Lecture 183 Clue #1 and #2

Lecture 184 Getting ready to solve the Mystery!

Lecture 185 Clue #3

Lecture 186 Exercise: Solving The First Clues

Lecture 187 Solution: Solving The First Clues

Lecture 188 Clue #4

Lecture 189 Exercise: Clue #4

Lecture 190 Solution: Clue #4

Lecture 191 Clue #5 and #6

Lecture 192 Exercise: Clue #5 and #6

Lecture 193 Solution: Clue #5 and #6

Lecture 194 Solving The Mystery

Section 9: Database Design

Lecture 195 System Design And SDLC

Lecture 196 SDLC Phases

Lecture 197 System Design Deep Dive

Lecture 198 Top-Down vs Bottom-Up

Lecture 199 DRIVEME Academy

Lecture 200 Top Down Design

Lecture 201 ER Model

Lecture 202 Step 1: Determining Entities

Lecture 203 Tooling For Diagramming

Lecture 204 DRIVEME Academy Entities

Lecture 205 Step 2: Attributes

Lecture 206 Relational Model Extended

Lecture 207 Relational Schema And Instance

Lecture 208 Super Key and Candidate Key

Lecture 209 Primary Key and Foreign Key

Lecture 210 Compound Composite And Surrogate Key

Lecture 211 DRIVEME Attributes

Lecture 212 Step 3: Relationships

Lecture 213 DRIVEME Relationships

Lecture 214 Step 4: Solving Many To Many

Lecture 215 Step 5: Subject Areas

Lecture 216 DRIVEME Subject Areas

Lecture 217 Exercise: Painting Reservations

Lecture 218 Exercise: Movie Theatre

Lecture 219 Bottom Up Design

Lecture 220 Anomalies

Lecture 221 Normalization

Lecture 222 Functional Dependencies

Lecture 223 Functional Dependencies 2

Lecture 224 The Normal Forms

Lecture 225 Going from 0NF to 1NF

Lecture 226 Going from 1NF to 2NF

Lecture 227 Going from 2NF to 3NF

Lecture 228 Boyce-Codd Normal Form

Lecture 229 Why 4NF And 5NF Are Not Useful

Lecture 230 Exercise: Database Design Quiz

Section 10: Database Landscape, Performance and Security

Lecture 231 Bruno's Request

Lecture 232 Scalability

Lecture 233 Sharding

Lecture 234 Replication

Lecture 235 Backups

Lecture 236 Distributed vs Centralized Databases

Lecture 237 Database Security

Lecture 238 Exercise: SQL Injection

Lecture 239 Optional: All About Injections Attacks

Lecture 240 Optional: Storing Passwords

Lecture 241 Optional: How To Store Passwords

Lecture 242 Relational vs NoSQL, PostgreSQL vs MongoDB Databases

Lecture 243 Future Of Relational Databases

Lecture 244 Elasticsearch

Lecture 245 S3 Object Storage

Lecture 246 Top Databases To Use

Section 11: Where To Go From Here?

Lecture 247 Thank You

Lecture 248 LinkedIn Endorsements

Lecture 249 Become An Alumni

Lecture 250 Learning Guideline

Lecture 251 Coding Challenges

Section 12: Extras: Data Engineering (And the role of Machine Learning)

Lecture 252 Big Data + Analytics

Lecture 253 Quick Note: Upcoming Videos

Lecture 254 Reviewing How We Got Here

Lecture 255 Data Engineering Introduction

Lecture 256 What Is Data?

Lecture 257 What Is A Data Engineer?

Lecture 258 What Is A Data Engineer 2?

Lecture 259 What Is A Data Engineer 3?

Lecture 260 What Is A Data Engineer 4?

Lecture 261 Types Of Databases

Lecture 262 Hadoop, HDFS and MapReduce

Lecture 263 Apache Spark and Apache Flink

Lecture 264 Kafka and Stream Processing

Section 13: Extras: Redis

Lecture 265 Quick Note: Upcoming Videos

Lecture 266 What Is Caching?

Lecture 267 Introducing Redis

Lecture 268 Installing Redis

Lecture 269 Redis Commands

Lecture 270 Redis Data Types

Lecture 271 Redis Hashes

Lecture 272 Redis Lists

Lecture 273 Redis Sets and Sorted Sets

Lecture 274 Section Summary

Section 14: Extra Bits: Databases In A Web App (with Node.js)

Lecture 275 Quick Note: Upcoming Videos

Lecture 276 Setting Up Your Database

Lecture 277 Connecting To The Database

Lecture 278 Registering A User Part 1

Section 15: BONUS SECTION

Lecture 279 Bonus Lecture

Both beginner and advanced professionals looking to learn modern SQL and Database principles,Professionals who are working with or will be working with databases and want to learn to work smart and efficiently using best practices,Everyone who is interested in one of the most in demand tech skill that will be around for many years to come: SQL,Developers, Data Scientists, Machine Learning Engineers, Business Analysts, Product Managers, Sales/Marketers, and anyone who uses data to make business decisions,Anyone interested in learning more about SQL, PostgreSQL, or basic data analysis to boost your resume