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This is a structured online training program designed to teach SQL for data analysis, data science, and reporting. Moreover, it helps learners understand how to extract and analyze data from databases effectively.
CPD Accredited SQL Course for Data Analytics
- Price: Giaranteed Low Price + Free Course
- Level: Intermediate
- Course Type: 100% Online Course
- Syllabus: 21 Course Modules
- Duration: 7+ Hours Guided Classes
- 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
Build Strong Career Skills in SQL for Data Science and Analytics
The SQL Data Analytics Training Course UK is designed to help you move from basic understanding to professional-level database and analytics skills. Therefore, you will not only learn SQL commands but also understand how real-world data systems operate in business environments.
To begin with, you will explore how relational databases store and manage structured data efficiently. As a result, you will develop the ability to retrieve, manipulate, and analyze large datasets with confidence.
Furthermore, this CPD Accredited SQL Course for Data Analytics focuses on real-world application rather than theory alone. Consequently, you will learn how SQL is used in data science projects, business intelligence systems, and reporting dashboards.
In addition, you will gain hands-on experience in querying data, joining multiple tables, filtering records, and generating insights for decision-making. Moreover, you will understand how SQL integrates with data visualization and analytics tools to support business growth.
After completing this course, you will be able to:
- Write and execute SQL queries for data analysis
- Extract and manipulate data from relational databases
- Use filtering, sorting, and aggregation techniques effectively
- Combine multiple datasets using SQL joins
- Apply SQL for data science and business intelligence tasks
- Understand database structure and relationships clearly
- Prepare data for visualization and reporting
- Build confidence in analytical problem-solving using SQL
Exclusive Course Glimpse
Why This is the Best SQL for Data Analysis Course Online
This SQL for Data Science Course Online is designed to provide practical, job-ready skills that are highly valued in today’s data-driven industries. Moreover, it focuses on real business applications of SQL, making it ideal for beginners and aspiring data professionals.
- CPD Accredited certification for professional recognition
- Practical SQL training focused on real-world datasets
- Beginner-friendly structured learning path
- Strong focus on data analytics and visualization support
- Flexible online learning from anywhere in the UK or globally
- Career-focused training for data science and analytics roles
- Step-by-step modules for easy understanding
Who Is This Course For?
This SQL Data Analytics Training Course UK is suitable for anyone who wants to build strong data skills and enter the analytics or data science field. Moreover, it is designed for learners with or without prior technical experience.
- Aspiring data analysts and data scientists
- Business intelligence and reporting professionals
- IT professionals and software developers
- Students exploring data-driven careers
- Beginners interested in SQL and databases
- Finance and marketing professionals working with data
- Career changers entering analytics industry
- Anyone wanting CPD accredited SQL training
No prior SQL knowledge is required, making it fully beginner-friendly.
Learning Outcomes
- Understand core concepts of relational databases and SQL architecture
- Write and execute SQL queries to extract and analyse structured data
- Apply filtering, sorting, and conditional logic to refine datasets
- Use aggregate functions (COUNT, SUM, AVG, MIN, MAX) for data insights
- Combine multiple tables using SQL joins for advanced data analysis
- Perform data grouping and summarisation using GROUP BY and HAVING
- Work with subqueries and nested queries for complex problem-solving
- Understand database design, relationships, and data integrity constraints
- Prepare and transform data for reporting, dashboards, and visualisation
- Import, export, and manage datasets efficiently within SQL environments
- Optimise query performance and understand basic database security practices
- Apply SQL skills in real-world data science, business intelligence, and analytics tasks
- Build strong analytical thinking for data-driven decision-making
- Develop job-ready SQL skills for roles in data analytics and data science
Certificate of Achievement
After completing this CPD Accredited SQL Course for Data Analytics, you will receive:
- CPD Accredited Certificate of Completion
- Industry-recognised SQL training proof
- CV and LinkedIn enhancement certification
- Professional data analytics qualification
- Career-ready SQL skill validation
Career Opportunities (UK)
Completing the SQL for Data Analysis Course Online opens strong career opportunities in the fast-growing data and technology sector. Moreover, demand for SQL professionals continues to increase across industries such as finance, healthcare, IT, and marketing.
Junior Data Analyst – £25,000–£35,000/year
Work with datasets to generate reports and business insights.
SQL Data Analyst – £30,000–£45,000/year
Analyse structured data and support decision-making processes.
Business Intelligence Analyst – £32,000–£50,000/year
Develop dashboards and reports using SQL-based data systems.
Data Science Assistant – £35,000–£55,000/year
Support machine learning and data modelling tasks.
Database Administrator (Junior Level) – £28,000–£42,000/year
Manage and maintain database performance and security.
Reporting Analyst – £27,000–£40,000/year
Create structured reports for business performance analysis.
Career Progression Pathways
In addition, learners can progress into advanced roles such as Data Scientist, Senior Data Analyst, BI Developer, or Data Engineer. Consequently, this course provides a strong foundation for long-term career growth in data science and analytics industries.
Entry Requirements
- No formal qualifications required
- Basic computer knowledge recommended
- Interest in data, analytics, or IT
- Internet access for online learning
- Suitable for beginners and professionals
Order Your Certificate
To order your Certificate, we kindly invite you to visit the following link
Frequently Asked Questions (FAQ)
Yes, this course is CPD accredited and widely recognised in the UK and internationally. Therefore, it adds strong value to your CV and professional development profile.
This course is ideal for beginners, students, IT professionals, and anyone interested in data analytics careers. In addition, it is suitable for professionals who want to upgrade their data skills.
Yes, this course is fully online and flexible. Therefore, you can study at your own pace from anywhere in the world.
Yes, you will receive a CPD accredited certificate after successful completion. Consequently, it helps enhance your career opportunities in data and analytics roles.
Yes, absolutely. It starts from basic SQL concepts and gradually progresses to advanced data analysis techniques, making it beginner-friendly.
You can work as a data analyst, BI analyst, reporting analyst, or SQL developer. Furthermore, you can progress into advanced data science and engineering roles.
Yes, SQL is one of the most important skills in data science and analytics. Therefore, this course provides a strong foundation for high-demand tech careers.
Course Curriculum
| SQL for Data Science, Data Analytics and Data Visualization | |||
| 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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
| 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 | ||
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