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SQL & Database Management QLS Endorsed cover image

SQL & Database Management QLS Endorsed
Thames College

15 QLS Endorsed Courses + 15 Free QLS Certificates + 5 Free eBooks

Summary

Price
£599 inc VAT
Or £66.56/mo. for 9 months...
Study method
Online
Duration
150 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Achievement
Assessment details
  • Assignment For QLS Endorsed Certificate (included in price)
Additional info
  • Tutor is available to students

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Overview

What is Included?

  • 15 QLS Endorsed Course
  • 15 Free QLS Hardcopy Certificates
  • 15 Free PDF Certificates
  • 5 Free eBooks
  • 24/7 Tutor Support

SQL and database management have become the foundation of data-driven decision-making in today’s world. Organisations of every size and sector rely on databases to store, organise, and process information. From financial firms handling millions of records to e-commerce platforms tracking customer purchases, the ability to manage and query data effectively is now essential.

Database management goes far beyond storing information. It covers organising, protecting, and analysing data to ensure smooth business operations. Companies today need secure systems that maintain accuracy and efficiency across their datasets.

★★★ 82% of UK companies list SQL and database skills among top hiring priorities. ★★★

A strong knowledge of database management can help streamline reporting, improve financial modelling, and support regulatory compliance. When combined with tools such as Excel, R, and machine learning techniques, database skills open opportunities in roles like data analysis, business intelligence, and data science. By completing SQL and database management courses, learners gain the confidence to tackle real-world tasks such as handling financial data, supporting business planning, and building systems that improve organisational performance.

Learning Outcomes

After completing this course, learners will be able to:

  • Write and optimise SQL queries to manage relational databases.
  • Apply data analysis skills using Excel, R, and data modelling tools.
  • Maintain data accuracy, compliance, and security through structured database processes.
  • Use business intelligence techniques to support strategic decision-making.
  • Manage datasets for advanced applications, including machine learning and predictive modelling.

★ Courses we are offering ★

  • Course 01: MySQL Database Development Level 5
  • Course 02: SQL Training Level 3
  • Course 03: Information Management Level 3
  • Course 04: Diploma in Data Analysis Fundamentals Level 5
  • Course 05: Data Analyst : Data Analyst (Data Analytics) Level 5
  • Course 06: Data Science & Machine Learning with R Level 7
  • Course 07: Easy to Advanced Data Structures Level 6
  • Course 08: Javascript for Data Structures Level 4
  • Course 09: Business Intelligence and Data Mining Level 4
  • Course 10: Excel Data Tools and Data Management Level 1
  • Course 11: Financial Modelling Using Excel Level 2
  • Course 12: Microsoft Excel Level 7
  • Course 13: Data Protection Level 3
  • Course 14: GDPR Level 3
  • Course 15: Document Control Training Course Level 3

Free ebooks

  • eBook 01: Agile Project Management
  • eBook 02: Leadership & Management: Become a Team Leader
  • eBook 03: Virtual Assistant
  • eBook 04: Workplace Communication Mastery
  • eBook 05: Working Remotely: How To Succeed In The New Workplace

Additional perks of selecting course from Thames College:

This course offers you the benefit of —

  • Learn with an engaging voiceover and visual elements.
  • Lifetime access to the course.
  • Participate in quick assessments and get instant feedback on your course progress.
  • Study on your own schedule.

Achievement

Assessment details

Assignment For QLS Endorsed Certificate

Included in course price

Description

The SQL & Database Management course bundle brings together key training areas such as MySQL Database Development, SQL Training, Information Management, Data Protection, Financial Modelling with Excel, Microsoft Excel, GDPR, Business Intelligence, and Data Science with R. Each course has been designed to help learners develop both technical and analytical skills. MySQL and SQL Training provide the foundation to build and query databases. Information Management and Data Protection modules help learners manage records safely, which is highly valued in today’s compliance-driven world. Excel-based modules such as Financial Modelling and Data Tools teach how to work with structured datasets for reporting and forecasting. Advanced areas like Data Science with R and Data Mining prepare learners for future-focused roles, while Data Structures and Business Intelligence expand their ability to solve complex problems.

These courses are highly valuable for job seekers because employers want candidates who can handle and interpret data effectively. In the UK, data-related roles are increasing every year, and applicants with multiple database and analytics skills stand out. The inclusion of free QLS-endorsed certificates adds further value, giving learners a recognised boost to their CV and making them more competitive in the job market. With structured training and certification, learners can confidently pursue roles across data, IT, and business sectors.

Please Note:Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.

Who is this course for?

  • Learners who want to start a career in data and IT.
  • Job seekers looking to improve their employability with SQL and data analysis skills.
  • Professionals aiming to transition into business intelligence or data science.
  • Graduates interested in strengthening their CV with database and analytics knowledge.
  • Employees in finance, business, or IT roles who want to upgrade their skills.

Requirements

No formal entry requirements for this course!

Career path

After completing this course, learners may pursue roles such as:

  • SQL Developer
  • Data Analyst
  • Business Intelligence Analyst
  • Database Administrator
  • Data Scientist
  • Information Manager
  • Compliance and Data Protection Officer
  • Financial Data Analyst
  • Machine Learning Assistant
  • Reporting and Analytics Specialist

Questions and answers

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FAQs

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