Complete SQL and Databases Bootcamp: Zero to Mastery [2023]

• 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

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…)

+ more

With 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!