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Course Overview
Learn how to make a genuine difference in your life by taking our popular Learn MySQL from Scratch for Data Science and Analytics. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Learn MySQL from Scratch for Data Science and Analytics to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Learn MySQL from Scratch for Data Science and Analytics provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
Learning Outcomes
Your Path to Success
By completing the training in Learn MySQL from Scratch for Data Science and Analytics, you will be able to significantly demonstrate your acquired abilities and knowledge of Learn MySQL from Scratch for Data Science and Analytics. This can give you an advantage in career progression, job applications, and personal mastery in this area.
Is This Course Right for You?
This course is designed to provide an introduction to Learn MySQL from Scratch for Data Science and Analytics and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Assessment Process
Once you have completed all the modules in the Learn MySQL from Scratch for Data Science and Analytics course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Learn MySQL from Scratch for Data Science and Analytics course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
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 | ||
Additional Materials | 00:00:00 | ||
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 |
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