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MySQL for data science is used to store, manage, and analyse structured data efficiently. It allows data professionals to query large datasets and extract insights quickly. Moreover, SQL is widely used in analytics, making it a must-have skill. Therefore, learning MySQL helps you work with real-world data effectively.
Learn MySQL from Scratch for Data Science and Analytics
- Price: Guaranteed Low Price + Free Course
- Level: CPD Award
- Course Type: 100% Online Course
- Syllabus: 21 Sections + Practical Lessons
- Duration: Approx. 3+ Hours Guided Learning
- Exams: Yes, included
- Accreditation: Instant CPD Certification After Completing the Course
- Certificate: CPD Accredited Digital Certificate – Included FREE
- Tutor Support: Support included
- Access: Lifetime (Unlimited)
- Compatibility: Any Browser Device
Overview of Learn MySQL from Scratch for Data Science and Analytics
Are you looking to learn MySQL for data science and build real-world SQL skills for analytics and reporting? Then, this learn MySQL from scratch course is designed to help you master one of the most in-demand database tools used in modern data science and business intelligence. As data-driven decision-making continues to grow, studies show that over 70% of organisations rely on SQL databases like MySQL for analytics. Therefore, learning SQL for data science is no longer optional—it is a valuable career skill.
Moreover, this MySQL course UK provides a clear and structured pathway for beginners and professionals. You will explore SQL fundamentals, database design, and data manipulation while also learning how to write powerful SQL queries for data analysis. In addition, the course simplifies complex concepts such as joins, subqueries, and aggregate functions, so you can build confidence step by step.
Furthermore, this SQL for data science course focuses on practical learning and real-world applications. As a result, you will learn how to analyse large datasets, optimise queries, and automate workflows using SQL and MySQL tools. Ultimately, this course helps you develop job-ready skills for data analytics, business intelligence, and database management roles.
Exclusive Course Glimpse
What You Will Learn in Learn MySQL from Scratch for Data Science and Analytics
This mysql for data science course is structured to build strong fundamentals first, and then gradually introduce advanced SQL and data analytics techniques. Therefore, even beginners can follow along with ease while gaining practical, career-focused skills.
By the end of this course, you will be able to:
- Understand SQL fundamentals: Learn core SQL syntax, data types, and relational database concepts
- Set up MySQL environments: Install MySQL Server, Workbench, and database tools efficiently
- Write SQL queries: Create SELECT statements, filters, and complex queries for analysis
- Apply data manipulation techniques: Use INSERT, UPDATE, and DELETE statements confidently
- Use joins and group by: Analyse data across multiple tables for business insights
- Perform data analysis: Apply aggregate functions and SQL analytics techniques
- Design databases: Create tables, schemas, and relationships for structured data
- Optimise SQL performance: Improve query efficiency and database performance
- Work with real data: Import/export CSV and Excel data into SQL databases
- Automate workflows: Use SQL with Python and AI tools for productivity
In addition, you will also gain hands-on experience with real-world data scenarios, while improving your ability to extract meaningful insights from large datasets. Furthermore, you will learn how to combine SQL queries, database design, and analytics techniques into one structured workflow.
Ultimately, this course equips you with practical SQL and MySQL skills required for data science, analytics, and business intelligence roles.
Why Choose This CPD Accredited Mysql Course?
Many learners search for the best SQL course for data science, but not all courses provide structured, beginner-friendly learning. Therefore, this course is designed to simplify SQL while maintaining strong real-world relevance.
In addition, this course offers key benefits:
- Affordable Learning: Structured lessons for smooth progress
- CPD-Certified: Strengthen your CV with recognised credentials
- Lifetime Access: Learn anytime at your own pace
- Instant Certificate: Receive certification upon completion
- Flexible Scheduling: Study around your work or studies
- Transparent Pricing: No hidden costs
- Quick Assessments: Monitor your progress easily
- 24/7 Support: Assistance via chat or email
Thus, this mysql certification course UK supports both skill development and career growth.
Course Curriculum
Learn MySQL from Scratch for Data Science and Analytics –
Introduction – Overview of course structure and SQL fundamentals
SQL Setup – Install MySQL Server, SSMS, and Workbench tools
Database Basics – Understand databases, tables, keys, and relationships
SQL Statements – Learn DML, DDL, and DCL commands
Data Filtering – Apply WHERE clauses and conditional queries
Aggregate Functions – Use SUM, MIN, MAX, and analysis functions
Query Techniques – Apply ORDER BY, IN, BETWEEN, and LIKE
Group By & Having – Perform grouped data analysis
Joins & Data Analysis – Combine multiple tables using joins
Constraints & Views – Ensure data integrity and reporting
Advanced SQL – Use subqueries, functions, and calculations
Stored Procedures – Automate SQL processes efficiently
Data Visualisation – Analyse data using Azure Data Studio
Import & Export – Work with CSV and Excel datasets
Backup & Restore – Secure and manage databases effectively
Certificate of Achievement
After completing this mysql course online UK, you will receive a CPD-accredited certificate to confirm your learning professionally.
You can typically choose:
- PDF Certificate
- Hardcopy Certificate
- QLS Certificate (Optional Upgrade)
Moreover, certification helps learners:
📄 Strengthen your CV: Add a recognised SQL certification
🎓 Demonstrate skills: Showcase database and analytics expertise
📈 Boost employability: Stand out in data science and IT roles
✅ Prove learning: Validate your professional development
Therefore, if you are looking for a mysql certification course, this is a strong choice.
Who Is This Course For?
This learn SQL online course is suitable for anyone interested in data science, analytics, and database management.
This course is ideal for:
- Beginners: Start learning MySQL and SQL from scratch
- Aspiring data analysts: Build data analysis and reporting skills
- Developers: Add SQL and database skills to your toolkit
- Database administrators: Improve database management expertise
- Students: Gain practical data science knowledge
- Career changers: Enter data and analytics roles confidently
Moreover, this course is designed for both beginners and professionals who want to improve their SQL and MySQL skills. As data continues to drive business decisions, understanding databases and analytics becomes increasingly important.
Furthermore, the course is flexible and easy to follow, so you can learn at your own pace. As a result, you can balance learning with work or studies without difficulty.
Requirements
There are no formal requirements for this mysql for beginners course. However, learners should have:
- Basic English skills: To understand course materials
- Device access: Computer, tablet, or smartphone
- Internet connection: For online learning
Because this course is fully online, you can learn anytime. Therefore, you can revisit lessons and practise SQL skills whenever needed.
Career Path of Learn MySQL from Scratch for Data Science and Analytics
Completing this sql for data science course can open doors to multiple high-demand careers.
Common career paths include:
- Data Analyst: £25,000 to £50,000
Analyse datasets and create business reports - Database Administrator: £30,000 to £60,000
Manage and maintain database systems - SQL Developer: £30,000 to £60,000
Develop and optimise SQL queries and databases - Data Scientist: £40,000 to £80,000
Build models and analyse complex data - Business Intelligence Analyst: £35,000 to £65,000
Transform data into actionable insights
However, salaries may vary depending on experience, industry, and location.
Order Your Certificate
To order your Certificate, we kindly invite you to visit the following link
Frequently Asked Questions -
Yes, you can learn MySQL from scratch even if you have no prior experience. This course starts with basic SQL concepts and gradually introduces advanced topics. In addition, lessons are designed in a simple and beginner-friendly way. As a result, you can build confidence step by step.
You will learn SQL queries, database design, and data analysis techniques. Additionally, you will gain experience with joins, aggregate functions, and data manipulation. Furthermore, the course teaches optimisation and real-world data handling. As a result, you develop job-ready skills.
This course is self-paced and takes approximately one hour of guided learning. However, you can take longer to practise and review lessons. Because you have lifetime access, you can learn at your own speed. Therefore, it suits both busy professionals and students.
Course Curriculum
| Learn MySQL from Scratch for Data Science and Analytics | |||
| Section 01: Getting Started | |||
| Introduction | 00:03:00 | ||
| How to get course requirements | 00:03:00 | ||
| Getting started on Windows, Linux or Docker | 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 | 00:02:00 | ||
| Microsoft SQL Server Installation | 00:19:00 | ||
| SQL Server Management Studio (SSMS) Installation | 00:08:00 | ||
| How to connect MS SQL (Windows Authentication) | 00:04:00 | ||
| How to connect MS SQL (SQL Server Authentication) | 00:03:00 | ||
| MySQL Workbench overview | 00:11:00 | ||
| Download and Restore Sample Database | 00:07:00 | ||
| Section 03: SQL Azure Data Studio | |||
| What is Azure Data Studio | 00:06:00 | ||
| Azure Data Studio Installation steps | 00:07:00 | ||
| Azure Data Studio to Connect SQL Server | 00:09:00 | ||
| Create a Database | 00:07:00 | ||
| Create a Table | 00:09:00 | ||
| Insert Data rows | 00:07:00 | ||
| View the Data returned by Query | 00:03:00 | ||
| Section 04: SQL Database basic SSMS | |||
| Section Introduction | 00:01:00 | ||
| Overview of Databases | 00:11:00 | ||
| Creating Database | 00:05:00 | ||
| SQL Data Types | 00:03:00 | ||
| Column Data Types on SSMS | 00:04:00 | ||
| Creating Table | 00:09:00 | ||
| Overview of Primary Key and Foreign Key | 00:04:00 | ||
| Primary Key | 00:04:00 | ||
| Foreign Key | 00:07:00 | ||
| Creating Temporary tables | 00:06:00 | ||
| EER – Enhanced Entity Relationship Diagrams | 00:04:00 | ||
| Section 05: SQL Statements for DATA | |||
| Section Introduction | 00:01:00 | ||
| Insert statement | 00:08:00 | ||
| Update statement | 00:05:00 | ||
| Delete statement | 00:03:00 | ||
| Section 06: SQL Data Structure statements | |||
| Section Introduction | 00:01:00 | ||
| CREATE table statement | 00:03:00 | ||
| DROP statement | 00:02:00 | ||
| ALTER statement | 00:05:00 | ||
| TRUNCATE statement | 00:04:00 | ||
| COMMENT in query | 00:01:00 | ||
| RENAME | 00:02:00 | ||
| Section 07: SQL User Management | |||
| Create Database user | 00:04:00 | ||
| GRANT permissions | 00:06:00 | ||
| REVOKE permissions | 00:04:00 | ||
| Section 08: SQL Statement Basic | |||
| Section Introduction | 00:01:00 | ||
| SQL Statement basic | 00:03:00 | ||
| SELECT Statement | 00:07:00 | ||
| SELECT DISTINCT | 00:03:00 | ||
| SELECT with column headings | 00:03:00 | ||
| Column AS statement | 00:02:00 | ||
| DASHBOARD Analytics | 00:06:00 | ||
| Section 09: Filtering Data rows | |||
| SELECT WHERE Clause – theory | 00:04:00 | ||
| SELECT WHERE Clause – practical | 00:07:00 | ||
| Section 10: Aggregate functions | |||
| Sum() | 00:08:00 | ||
| Min()-Max() | 00:06:00 | ||
| Section 11: SQL Query statements | |||
| Order By statement | 00:05:00 | ||
| SELECT TOP clause in SQL | 00:04:00 | ||
| BETWEEN command | 00:08:00 | ||
| IN operator | 00:04:00 | ||
| Wildcard Characters and LIKE | 00:05:00 | ||
| Section 12: SQL Group by statement | |||
| Section Introduction | 00:01:00 | ||
| Group by – theory | 00:03:00 | ||
| Group by – practical | 00:05:00 | ||
| HAVING statement | 00:04:00 | ||
| Section 13: JOINS for Multiple table Data Analysis | |||
| Overview of Joins | 00:02:00 | ||
| What are Joins | 00:02:00 | ||
| Inner join | 00:08:00 | ||
| Left outer join | 00:03:00 | ||
| Right outer join | 00:02:00 | ||
| Full outer join | 00:01:00 | ||
| Union | 00:03:00 | ||
| Cartesian Product with the Cross Join | 00:03:00 | ||
| Query Exercise | 00:01:00 | ||
| Solution for Query Exercise | 00:01:00 | ||
| Section 14: SQL Constraints | |||
| Section introduction | 00:01:00 | ||
| Check constraint | 00:07:00 | ||
| NOT NULL constraint | 00:08:00 | ||
| UNIQUE constraint | 00:05:00 | ||
| Section 15: Views | |||
| Creating Views | 00:04:00 | ||
| Reporting with multiple tables | 00:03:00 | ||
| Section 16: Advanced SQL commands | |||
| Section Introduction | 00:01:00 | ||
| Timestamp | 00:04:00 | ||
| Extract from timestamp | 00:03:00 | ||
| Mathematical scalar functions | 00:04:00 | ||
| String functions | 00:05:00 | ||
| Sub Query | 00:03:00 | ||
| SELECT with calculations | 00:06:00 | ||
| Section 17: SQL Stored procedures | |||
| Create stored procedure | 00:05:00 | ||
| Stored procedure with parameter | 00:04:00 | ||
| Section 18: Azure Data Studio Visualization | |||
| Installing SandDance Extension | 00:03:00 | ||
| Visualization Charts | 00:05:00 | ||
| Multiple Table Data Charts | 00:06:00 | ||
| Section 19: Azure Studio SQL for Data Analysis | |||
| Type Decision for Data Analysis | 00:13:00 | ||
| Data Analysis with Case Statement and String Text | 00:09:00 | ||
| Section 20: Import & Export data | |||
| Section Introduction | 00:01:00 | ||
| Import Flat File | 00:05:00 | ||
| Import .csv or excel file | 00:03:00 | ||
| Export Data to Excel or any format | 00:06:00 | ||
| Section 21: Backup and Restore Database | |||
| Section Introduction | 00:01:00 | ||
| Creating Database backup | 00:04:00 | ||
| Restoring Database backup | 00:04:00 | ||
| Order Your Certificate | |||
| Order Your Certificate | 00:00:00 | ||
