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A to Z SQL Programming
124 Students (23 Reviews)
Learn SQL programming, database management, data querying, joins, subqueries, database design, performance optimisation, and reporting skills.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
SQL (Structured Query Language) is one of the most widely used programming languages for managing, querying, and analysing data stored in relational databases. This comprehensive A to Z SQL Programming course is designed to provide learners with a complete understanding of SQL, from fundamental database concepts to advanced querying and database management techniques.
In today’s data-driven world, organisations rely on databases to store, organise, and retrieve information efficiently. This course covers the fundamentals of relational databases, SQL syntax, data retrieval, filtering and sorting data, table creation, database design, joins, aggregate functions, subqueries, views, indexes, stored procedures, database security, data manipulation, and performance optimisation. Learners will gain practical knowledge of how SQL is used to manage databases, generate reports, and support business decision-making.
Whether you are aspiring to become a database administrator, data analyst, software developer, business intelligence professional, or simply want to learn SQL for career advancement, this course provides a strong foundation in database management and SQL programming.
Learning Outcomes
- Develop skills in data retrieval and manipulation
- Understand database design and table relationships
- Learn joins, subqueries, and advanced query methods
- Explore database security and access management
- Understand performance optimisation and indexing techniques
- Develop practical SQL programming and reporting skills
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Certificate of Achievement
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Entry Requirements
There are no formal entry requirements for this course. Learners of all educational and professional backgrounds can enrol. Basic computer skills and an interest in databases or data management will be beneficial.
Who is this course for?
This course is ideal for:
- Business Intelligence Professionals
- Software Developers
- Data Science Students
- IT Support Professionals
- Business Professionals Working with Data
Career Paths
Successful completion of this course may support progression into roles such as:
- SQL Developer
- Database Administrator
- Data Analyst
- Business Intelligence Analyst
- Database Support Specialist
- Software Developer
Course Curriculum
| Beginner | |||
| Module: 01 | |||
| Introduction | FREE | 00:16:00 | |
| Tools for Creating Views | 00:11:00 | ||
| Examples | 00:21:00 | ||
| Updating Data Using a View | 00:13:00 | ||
| Columns and Indexed Views | 00:18:00 | ||
| Module: 02 | |||
| Introduction Stored Procedures | 00:18:00 | ||
| Creating Stored Procedures | 00:19:00 | ||
| Returning Data | 00:14:00 | ||
| Module: 03 | |||
| Testing and Debugging | 00:17:00 | ||
| Execute with Result Sets | 00:11:00 | ||
| Creating Triggers | 00:26:00 | ||
| Module: 04 | |||
| Overview and Scalar Functions | 00:20:00 | ||
| Inline Table Valued Functions | 00:11:00 | ||
| Multi Statement | 00:16:00 | ||
| Views and Stored Procedures | 00:18:00 | ||
| Module: 05 | |||
| Transaction Concepts | 00:30:00 | ||
| Applications and Transactions | 00:13:00 | ||
| Creating Explicit Transactions | 00:29:00 | ||
| Structured Error Handling | 00:25:00 | ||
| Module: 06 | |||
| Introduction to SQL CLR | 00:08:00 | ||
| Writing SQL CLR Code | 00:24:00 | ||
| Using SQL CLR Code | 00:22:00 | ||
| SQL CLR Code | 00:13:00 | ||
| SQL CLR Security | 00:20:00 | ||
| Intermediate | |||
| Module: 01 | |||
| Topic A Aggregates | 00:27:00 | ||
| Topic B User Defined Types | 00:17:00 | ||
| Topic C Table and Functions | 00:10:00 | ||
| Topic D Managing Code Modules | 00:08:00 | ||
| Module: 02 | |||
| Topic A Introduction Data Tools | 00:19:00 | ||
| Topic B Connected Database Development | 00:20:00 | ||
| Topic C Updating a Connected Database | 00:16:00 | ||
| Module: 03 | |||
| Topic A Creating New Objects with TSQL | 00:12:00 | ||
| Topic B Comparing Database Schemas | 00:10:00 | ||
| Topic C Offline Database Development | 00:13:00 | ||
| Topic D Database Project Settings | 00:18:00 | ||
| Module: 04 | |||
| Topic A Using APPLY | 00:15:00 | ||
| Topic B MERGE Statement | 00:23:00 | ||
| Topic C Creating Recursive Queries | 00:08:00 | ||
| Topic D Grouping Sets | 00:12:00 | ||
| Module: 05 | |||
| Topic A ROLLUP and CUBE Operators | 00:12:00 | ||
| Topic B Creating Pivot Queries | 00:14:00 | ||
| Topic C Executing Dynamic SQL | 00:28:00 | ||
| Module: 06 | |||
| Topic A Complex Query Execution | 00:26:00 | ||
| Topic B Using Execution Plans | 00:16:00 | ||
| Topic C Execution Plan Operators | 00:12:00 | ||
| Topic D Common Join Operators | 00:16:00 | ||
| Module: 07 | |||
| Topic A Hierarchy ID Data Type | 00:12:00 | ||
| Topic B Exploring a Hierarchy | 00:09:00 | ||
| Topic C Sparse Columns | 00:16:00 | ||
| Topic D Column Sets | 00:12:00 | ||
| Module: 08 | |||
| Topic A Filtered Indexes | 00:09:00 | ||
| Topic B FILESTREAM Storage | 00:22:00 | ||
| Topic C Adding Sequences to Queries | 00:22:00 | ||
| Module: 09 | |||
| Topic A Introduction to Spatial Data | 00:13:00 | ||
| Topic B Spatial Data in SQL Server | 00:23:00 | ||
| Topic C Manipulating Spatial Shapes | 00:10:00 | ||
| Topic D Interactions Between Objects | 00:09:00 | ||
| Advanced | |||
| Module: 01 | |||
| Topic A Partitioning | 00:20:00 | ||
| Topic B Creating Partition Tables | 00:30:00 | ||
| Topic C Querying Partitions | 00:14:00 | ||
| Topic D Managing Partitions | 00:17:00 | ||
| Module: 02 | |||
| Topic A Complex Querying | 00:22:00 | ||
| Topic B Rankings | 00:15:00 | ||
| Topic C SubQueries | 00:21:00 | ||
| Topic D Common Table Expressions | 00:17:00 | ||
| Module: 03 | |||
| Topic A Complex Data and Structures | 00:26:00 | ||
| Topic B Efficient Queries | 00:36:00 | ||
| Topic C Complex Queries | 00:17:00 | ||
| Module: 04 | |||
| Topic A XML Data Type | 00:28:00 | ||
| Topic B XML Schemas | 00:17:00 | ||
| Topic C Querying XML | 00:20:00 | ||
| Topic D Best Practices | 00:08:00 | ||
| Mock Exam | |||
| Mock Exam – A to Z SQL Programming | 00:20:00 | ||
| Final Exam | |||
| Final Exam – A to Z SQL Programming | 00:20:00 | ||
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Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
SQL (Structured Query Language) is a programming language used to create, manage, query, and manipulate data stored in relational databases.
You will learn database fundamentals, SQL syntax, data retrieval, joins, subqueries, database design, reporting, security, and performance optimisation techniques.
The course is suitable for aspiring database administrators, developers, data analysts, business professionals, and anyone interested in learning SQL.
No. The course is suitable for beginners and gradually introduces SQL concepts and techniques.
Yes. The course covers advanced concepts such as joins, subqueries, views, indexing, stored procedures, and optimisation techniques.
Yes. Database structure, table relationships, and design principles are important parts of the course.
You will develop database management, data querying, analytical thinking, reporting, problem-solving, and SQL programming skills.
Yes. SQL is one of the most important skills used in data analysis, reporting, and business intelligence roles.
Yes. The course introduces database security principles, access control, and user management techniques.
Career opportunities include SQL Developer, Database Administrator, Data Analyst, Business Intelligence Analyst, Reporting Analyst, Database Support Specialist, Software Developer, and Data Management Assistant.