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Learn MySQL from Scratch for Data Science and Analytics
By Studyhub UK
(3)- 30 Day Money Back Guarantee
- Completion Certificate
- 24/7 Technical Support
Highlights
On-Demand course
5 hours 47 minutes
All levels
Description
Embark on a comprehensive journey into the world of MySQL with a focus on its applications in Data Science and Analytics. This course is structured to take you from the fundamentals to advanced topics in MySQL Server. Covering SQL basics, data manipulation and definition, control and analytic functions, and database management, you'll acquire the essential skills for harnessing MySQL's power in data-driven decision-making.
Learning Outcomes:
Establish a strong foundation in SQL and MySQL.
Set up and configure SQL Server for efficient data handling.
Master SQL's Data Manipulation, Definition, and Control Language.
Create and optimize SQL queries for data analysis.
Perform advanced data analytics using SQL.
Understand the power of GROUP BY and JOIN statements.
Implement data constraints and views for data integrity and security.
Develop proficiency in stored procedures, data import/export, and database backup/restore.
Why buy this Learn MySQL from Scratch for Data Science and Analytics?
Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home
Certification
After studying the course materials of the Learn MySQL from Scratch for Data Science and Analytics you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.
Who is this course for?
This Learn MySQL from Scratch for Data Science and Analytics course is ideal for
Aspiring Data Scientists and Analysts.
Database Administrators and Developers.
Students and professionals seeking to enter the field of Data Science.
Anyone looking to enhance their SQL and MySQL skills for data-related roles.
Prerequisites
This Learn MySQL from Scratch for Data Science and Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
Career path
Data Analyst: £25,000 - £50,000 per year.
Database Administrator: £30,000 - £60,000 per year.
SQL Developer: £30,000 - £60,000 per year.
Data Scientist: £40,000 - £80,000 per year.
Business Intelligence Analyst: £35,000 - £65,000 per year.
Course Curriculum
| Learn MySQL 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 | 00:06:00 | ||
| 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 | 00:03:00 | ||
| 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 functions3 | 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 | ||
About The Provider
Studyhub UK
London, England
(3)Studyhub is a premier online learning platform which aims to help individuals worldwide to realise their educational dreams. For 5 years, we have been dedicated...
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