Launch your career in the fast-evolving world of data and artificial intelligence with the LICQual Level 3 Diploma in Data and AI – Data Technician, a globally recognized qualification designed to equip you with the skills to excel as a data technician. This course is ideal for individuals eager to master data handling, analysis, and AI fundamentals, paving the way for exciting roles in technology-driven industries.
Whether you’re new to the field or looking to advance your technical expertise, this diploma offers a dynamic blend of practical training and theoretical knowledge to prepare you for the demands of modern data roles. Start your journey today to become a skilled data technician shaping the future of business and innovation.
The LICQual Level 3 Diploma focuses on building core competencies in data management, processing, and introductory AI applications, tailored for sectors like finance, healthcare, retail, and more. You’ll learn to work with data sets, use industry-standard tools, and apply AI concepts to support business solutions. Delivered through flexible, engaging modules, this course accommodates busy learners, offering both online and in-person study options. By enrolling, you’re investing in a qualification that opens doors to high-demand careers in data and AI, positioning you as a key contributor to organizational success.
The LICQual Level 3 Diploma in Data and AI – Data Technician is a comprehensive program crafted to empower learners with the technical and analytical skills needed to excel as data technicians. Perfect for those seeking to build a solid foundation in data management and AI, this qualification combines hands-on practice with theoretical insights to prepare you for roles in data analysis, database management, and AI support. Through real-world projects and interactive learning, you’ll gain the confidence to handle complex data tasks and contribute to innovative business solutions.
The curriculum covers essential topics such as data collection, processing, visualization, and basic AI applications. You’ll master tools like Python, SQL, and data visualization platforms, while exploring introductory machine learning concepts to enhance decision-making.
Practical exercises and case studies ensure you can apply your skills to solve real-world problems, while also developing critical thinking and teamwork abilities. This course equips you to meet the growing demand for data technicians who can bridge technical expertise with business needs in dynamic industries.
Designed for flexibility, the LICQual Level 3 Diploma offers accessible learning options, making it ideal for students, professionals, or career changers balancing busy schedules. Upon completion, you’ll earn an internationally accredited qualification from LICQual, unlocking opportunities for roles like data technician, junior data analyst, or database administrator. This diploma not only enhances your technical proficiency but also positions you for career growth in the rapidly expanding data and AI sectors.
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.
This course is ideal for:
- Individuals aspiring to begin a career in data management, analysis, or IT support
- School leavers or college graduates interested in data and digital technologies
- Entry-level professionals looking to formalize their skills in data handling and systems
- Junior IT or admin staff wanting to transition into technical data roles
- Learners who have completed a Level 2 qualification in IT, Business, or Mathematics
- Career changers seeking entry into the fields of data science, AI, or database management
- Professionals aiming to build foundational knowledge in SQL, data analysis, and reporting tools
- Apprentices and interns in technology, business, or analytics teams
- Small business staff managing data manually and seeking technical efficiency
- Anyone interested in contributing to data-driven decision-making in modern organizations
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.
