GET THIS COURSE AND 2500+ OTHERS FOR ONLY £49 FIND OUT MORE

Home
Curriculum

Overview:

Welcome to “Learn MySQL from Scratch for Data Science and Analytics”! This course serves as your comprehensive guide to mastering MySQL, the popular relational database management system, for data science and analytics. MySQL is a fundamental tool for storing, managing, and analyzing data, making it essential for anyone pursuing a career in data science or analytics. In this course, you’ll dive deep into MySQL, learning how to design databases, write SQL queries, and manipulate data to extract valuable insights.

Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases

Main Course Features:

Thorough coverage of MySQL fundamentals, including database design and normalization
Hands-on projects and exercises to reinforce learning
Writing complex SQL queries to retrieve and manipulate data
Implementation of joins, subqueries, and aggregate functions for data analysis
Guidance on indexing, optimization, and performance tuning in MySQL
Best practices for data modeling and schema design for analytics
Real-world case studies and examples to illustrate MySQL applications in data science
Access to a supportive online community for collaboration and assistance

Who Should Take This Course:

Aspiring data scientists and analysts seeking to master MySQL for data manipulation and analysis
Database administrators looking to enhance their SQL skills for data science applications
Students and professionals aiming to build a strong foundation in relational databases for analytics

Learning Outcomes:

Master MySQL fundamentals, including database design, SQL queries, and data manipulation
Perform complex data analysis tasks using SQL, including joins, subqueries, and aggregations
Design efficient database schemas and optimize query performance in MySQL
Apply MySQL skills to real-world data science and analytics projects
Extract valuable insights from large datasets using MySQL for data manipulation
Debug and troubleshoot SQL queries effectively in MySQL
Build a portfolio of MySQL projects showcasing data science and analytics skills
Stay updated with the latest trends and techniques in MySQL for data science and analytics.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Course Curriculum

Learn MySQL Server from Scratch for Data Science and Analytics
Section 01: Getting Started
	Introduction	00:02:00
	How to get course requirements	00:01:00
	Getting started on Windows, Linux or Mac	00:01:00
	How to ask great questions	00:01:00
	FAQ’s	00:01:00
	What is Source Code?	00:09:00
Section 02: SQL Server setting up
	Section Introduction	00:01:00
	MySQL Server Installation	00:14:00
	Connect MySQL Server Instance	00:06:00
	MySQL Workbench overview	00:11:00
	Download and Restore Sample Database	00:08:00
Section 03: SQL Database basics
	Section Introduction	00:01:00
	Overview of Databases	00:09:00
	Creating Database	00:07:00
	SQL Data Types	00:04:00
	Column Data Types on Workbench	00:07:00
	Creating Table	00:04:00
	Overview of Primary and Foreign Key	00:03:00
	Primary Key	00:06:00
	Foreign Key	00:12:00
	Creating Temporary tables	00:12:00
	EER – Enhanced Entity Relationship Diagrams	00:04:00
Section 04: SQL DML (Data Manipulation Language)
	Section Introduction	00:01:00
	Insert statement	00:07:00
	Update statement	00:06:00
	Delete statement	00:03:00
Section 05: SQL DDL (Data Definition Language)
	Section Introduction	00:01:00
	CREATE table statement	00:08:00
	DROP statement	00:03:00
	ALTER statement	00:05:00
	TRUNCATE statement	00:03:00
	COMMENT in query	00:02:00
	RENAME table	00:03:00
Section 06: SQL DCL (Data Control Language)
	Create Database user	00:03:00
	GRANT permissions	00:05:00
	REVOKE permissions	00:04:00
Section 07: SQL Statement Basic
	Section Introduction	00:01:00
	SQL Statement basic	00:03:00
	SELECT Statement	00:03:00
	SELECT DISTINCT	00:02:00
	SELECT with column headings	00:01:00
	Column AS statement	00:02:00
	DASHBOARD Analytics	00:06:00
Section 08: Filtering Data rows
	SELECT WHERE Clause – theory	00:03:00
	SELECT WHERE Clause – practical	00:06:00
Section 09: Aggregate functions for Data Analysis
	Sum()	00:06:00
	Min()-Max()	00:03:00
Section 10: SQL Data Analyticstatements
	Order By statement	00:05:00
	SELECT TOP 3 records	00:02:00
	BETWEEN command	00:06:00
	IN operator	00:03:00
	Search Data usingLIKE cards	00:05:00
Section 11: SQL Group by statement
	Section Introduction	00:01:00
	Group by – theory	00:04:00
	Data Analytics with Group By	00:04:00
	HAVING statement	00:04:00
Section 12: JOINS
	Overview of Joins	00:02:00
	What are Joins	00:02:00
	Inner join	00:07:00
	Left outer join	00:02:00
	Right outer join	00:02:00
	Union	00:03:00
	CERTESIAN Product or Cross Join	00:03:00
	Query Exercise	00:01:00
	Solution for Query Exercise	00:01:00
Section 13: SQL Constraints
	Section introduction	00:01:00
	Check constraint	00:09:00
	NOT NULL constraint	00:03:00
	UNIQUE constraint	00:06:00
Section 14: Views
	Creating Views	00:03:00
	Data Analytic Views from multiple tables	00:03:00
Section 15: Advanced SQL Functions
	Section Introduction	00:01:00
	Timestamp	00:03:00
	Extract from timestamp	00:03:00
	Mathematical scalar functions	00:03:00
	String functions	00:07:00
	Advanced functions	00:04:00
	Sub Queries	00:03:00
	SELECT with calculations	00:05:00
Section 16: SQL Stored procedures
	Create stored procedure	00:06:00
	Stored procedure with parameter	00:03:00
	Drop Procedure	00:01:00
Section 17: Import & Export data
	Section Introduction	00:01:00
	Import .csv file	00:04:00
	Export Data to .csv file	00:02:00
Section 18: Backup and Restore Database
	Section Introduction	00:01:00
	Creating Database backup	00:02:00
	Restoring Database backup	00:02:00