Mastering SQL (Using MySQL, Java, and Go)

Mastering SQL (Using MySQL, Java, and Go)

Learning SQL (Structured Query Language), as  the most commonly used database language, can be one of the greatest career decisions you make.

SQL is one of the most sought-after skills by hiring employers.

SQL that is the primary language responsible for managing data within a relational database management system (RDBMS) can be easily connected to any programming language.

SQL is a natural language for data analysis that is the center of every decision making process.

SQL is a productive language for writing queries and for performing CRUD  (Create, Read, Update, Delete) operations on data.

SQL can be used by data scientists, data analysts, front- and back-end developers, business and systems analysts and in short anyone who's willing to analyze data.

In this practical course, you will:

• Learn CRUD (Create, Read, Update, Delete) operations

• Create complex queries across multiple tables

• Analyze data and create reports accordingly

• Write complex joins (inner, outer, full)

• Write summary queries using aggregate functions

• Write sub-queries

• Utilize String/Numeric/Datetime functions

• Analyze data, group the related data into separate entities (tables), establish relationships (1-1, 1-m, m-m) between tables, and apply referential integrity on tables

• Write views, triggers, stored procedures, cursors, and stored functions

• Four Comprehensive Assignments: Create four sample databases from scratch, as well as to write advanced queries for each assignment

• Assignments: Learn how  views, triggers, stored procedures, cursors, and stored functions can interact

• Connect MySQL and PostgreSQL to Java

• Connect MySQL and PostgreSQL to Go (Google Golang)

A practical course to master SQL advanced queries using MySQL, and to connect Java & Golang to MySQL & PostgreSQL

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What you will learn

• Write complex queries to address organizations business queries
• Perform data analysis using SQL
• Design and implement your own database (mainly using MySQL and partially using PostgreSQL)

Rating: 4.7

Level: All Levels

Duration: 21 hours

Instructor: Kam Hojati