The LICQual Level 3 Diploma in Data and Al – Data Technician is a comprehensive qualification designed for individuals who want to start a career in data technology while gaining practical skills in artificial intelligence applications. As organizations increasingly rely on data to make informed decisions, the role of skilled data technicians has never been more critical. This diploma provides learners with the foundational knowledge and hands-on experience needed to manage, process, and analyze data efficiently.
This Level 3 Diploma in Data Technician focuses on developing essential technical skills, including data collection, data cleaning, and basic analysis. Learners will also explore the use of AI tools to streamline data workflows, automate processes, and generate actionable insights. The course emphasizes practical learning, ensuring students can confidently handle real-world data scenarios, from setting up databases to creating visual reports that support business decisions.
By enrolling in the Data Technician Diploma Level 3, learners will gain exposure to industry-standard software and techniques, equipping them with the skills employers are seeking. The program also introduces key concepts in data governance, quality control, and compliance, providing a well-rounded understanding of the responsibilities associated with handling sensitive information. This makes it suitable for those aiming to progress in IT, analytics, or AI-related roles.
The Diploma in Data Technology and AI is ideal for school leavers, career changers, or entry-level IT professionals who want to build a strong foundation in data analytics and AI. Completion of this qualification opens up opportunities in roles such as junior data technician, IT support analyst, or AI operations assistant. It also provides a stepping stone for further study at Level 4, preparing learners for advanced roles in data analysis, data engineering, and AI-driven decision-making.
If you are looking to start a career in data technology with a focus on AI and gain practical, industry-relevant skills, the LICQual Level 3 Diploma in Data and AI – Data Technician is the perfect pathway. With a combination of theoretical knowledge, hands-on practice, and career-oriented learning, this course sets you on the path to becoming a competent and confident data technician.
Course Overview
Qualification Title
LICQual Level 3 Diploma in Data and Al – Data Technician
Total Units
6
Total Credits
60
GLH
240
Qualification #
LICQ2200563
Qualification Specification
To enroll in the LICQual Level 3 Diploma in Data and Al – Data Technician, applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200563-1 |
Fundamentals of Data Systems and the Role of a Data Technician |
10 |
40 |
|
LICQ2200563-2 |
Data Collection, Validation, and Cleaning Techniques |
10 |
40 |
|
LICQ2200563-3 |
Database Concepts, Structured Query Language (SQL), and Data Storage |
10 |
40 |
|
LICQ2200563-4 |
Data Analysis and Visualization Tools (e.g., Excel, Power BI, or Python Basics) |
10 |
40 |
|
LICQ2200563-5 |
Data Security, Privacy, and Compliance with Legal Regulations |
10 |
40 |
|
LICQ2200563-6 |
Supporting Data-Driven Decision Making in Business Environments |
10 |
40 |
By the end of this course, learners will be able to:
Fundamentals of Data Systems and the Role of a Data Technician
- Explain the core components of data systems, including databases, data pipelines, and their role in organizational processes.
- Describe the responsibilities of a data technician in managing, processing, and supporting data-driven operations.
- Apply foundational data management principles to ensure accurate and efficient handling of data in business contexts.
- Evaluate the impact of data systems on organizational efficiency and decision-making processes.
Data Collection, Validation, and Cleaning Techniques
- Implement effective data collection methods, such as surveys, APIs, and manual entry, to gather accurate and relevant data.
- Apply validation techniques to verify the accuracy, completeness, and reliability of collected data.
- Use data cleaning methods, including deduplication and error correction, to prepare data for analysis.
- Assess the quality of cleaned data to ensure it meets the requirements for downstream analysis and reporting.
Database Concepts, Structured Query Language (SQL), and Data Storage
- Explain fundamental database concepts, including relational databases, schemas, and data storage principles.
- Write and execute SQL queries to retrieve, manipulate, and manage data in relational database systems.
- Apply data storage techniques to organize and secure data efficiently in various database environments.
- Evaluate the effectiveness of database structures and SQL queries in supporting business data needs.
Data Analysis and Visualization Tools (e.g., Excel, Power BI, or Python Basics)
- Utilize data analysis tools, such as Excel, Power BI, or basic Python libraries, to perform descriptive and exploratory data analysis.
- Create data visualizations, including charts, dashboards, and reports, to communicate insights effectively to stakeholders.
- Apply basic statistical techniques to interpret data trends and patterns for business decision-making.
- Assess the suitability of different visualization tools for presenting data insights in various business scenarios.
Data Security, Privacy, and Compliance with Legal Regulations
- Implement data security practices, such as encryption and access controls, to protect sensitive data from unauthorized access.
- Explain data privacy principles and legal regulations, such as GDPR or CCPA, relevant to data handling and storage.
- Apply compliance measures to ensure data management practices align with industry standards and legal requirements.
- Evaluate the effectiveness of data security and privacy strategies in maintaining organizational trust and regulatory adherence.
Supporting Data-Driven Decision Making in Business Environments
- Identify key business questions and objectives that can be addressed through data-driven insights.
- Prepare and present data reports to support strategic and operational decision-making in business contexts.
- Collaborate with stakeholders to translate data insights into actionable recommendations for business improvement.
- Evaluate the impact of data-driven decisions on organizational performance and strategic outcomes.
The LICQual Level 3 Diploma in Data and AI – Data Technician is ideal for individuals who want to start a career in data technology and AI. This course suits learners seeking practical skills in data collection, analysis, and AI-assisted workflows. Whether you are a school leaver, IT assistant, or career changer, this diploma provides the foundational knowledge and hands-on experience needed to enter the growing field of data technology.
School Leavers and Recent Graduates
- Students looking to build a career in IT, data, or AI
- Graduates interested in gaining practical, industry-relevant skills
- Learners aiming for a recognized Level 3 qualification
- Individuals wanting to explore data technology before advanced study
- Students seeking a foundation for data analytics or AI roles
IT Support and Technical Assistants
- Professionals working in IT support seeking career progression
- Technical staff aiming to specialize in data handling and AI
- Individuals responsible for managing and maintaining databases
- IT assistants wanting to add data analytics to their skillset
- Professionals looking to gain practical hands-on data experience
Aspiring Data Technicians
- Individuals aiming to enter entry-level data technician roles
- Learners wanting to understand data processing and analysis
- People interested in AI-assisted workflows and automation
- Candidates seeking skills for real-world data management
- Professionals looking for a pathway to Level 4 diplomas
Career Changers
- Professionals transitioning from business, finance, or administration
- Individuals looking to move into IT, data, or AI fields
- Learners wanting a structured qualification to boost employability
- Career changers seeking practical, hands-on technical skills
- Those aiming to develop a strong foundation in data analytics
Business and Operations Assistants
- Professionals supporting business decision-making with data
- Operations staff seeking to improve reporting and insights
- Team members responsible for data quality and documentation
- Individuals aiming to leverage AI for operational efficiency
- Assistants wanting to contribute to data-driven business strategies
International and Remote Learners
- Global learners seeking a recognized Level 3 qualification in data technology
- Remote learners needing practical AI and data skills for international roles
- Consultants or freelancers looking to enhance technical capabilities
- Individuals working across borders with data compliance requirements
- Learners seeking a flexible, industry-relevant diploma
Early Career IT and Analytics Professionals
- Junior IT professionals wanting career growth into analytics roles
- Data assistants aiming to handle AI-driven projects
- Professionals seeking foundational knowledge in data technology
- Employees wanting to develop practical reporting and visualization skills
- Those preparing for advanced studies or Level 4 diplomas in AI and data
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.