Skillify Level 3 Diploma in Data and AI – Data Technician
Launch your career in the fast-growing world of data and artificial intelligence with the Skillify Level 3 Diploma in Data and AI – Data Technician, a globally recognized qualification designed to equip learners with essential skills in data handling, processing, and AI fundamentals.
This program provides the technical foundation needed to thrive as a data technician, bridging the gap between raw data and actionable insights. Whether you are a student, a professional seeking career change, or someone eager to enter the tech industry, this diploma offers the perfect combination of practical training and theoretical knowledge to prepare you for success in data-driven environments.
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- Duration : 4 weeks (Self-paced)
- Certificate of Completion
- Mobile & Desktop Access
- Teacher : Michael Davis
To enroll in the Skillify Level 3 Diploma in Data and AI – Data Technician, applicants must meet the following criteria:
- Age Requirement: Minimum 18 years.
- Educational Requirements:A Level 2 qualification in IT, Mathematics, Science, or a related field (or equivalent international qualifications).
- Experience:No formal work experience required; however, familiarity with digital tools or basic data handling will be advantageous.
- English Language Proficiency: IELTS 4.5, CEFR Level B1, or equivalent. Proof of prior study in English may also be accepted.
Unit Title | Credits | GLH |
Fundamentals of Data Systems and the Role of a Data Technician | 10 | 40 |
Data Collection, Validation, and Cleaning Techniques | 10 | 40 |
Database Concepts, Structured Query Language (SQL), and Data Storage | 10 | 40 |
Data Analysis and Visualization Tools (e.g., Excel, Power BI, or Python Basics) | 10 | 40 |
Data Security, Privacy, and Compliance with Legal Regulations | 10 | 40 |
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
- Understand data structures and storage principles.
- Apply methods for organizing and securing data.
- Data Collection, Validation, and Cleaning Techniques
- Apply techniques for data gathering, cleaning, and transformation.
- Ensure accuracy and reliability in datasets.
- Database Concepts, Structured Query Language (SQL), and Data Storage
- Perform queries to retrieve, insert, and update data.
- Apply normalization principles for efficient data handling.
- Data Analysis and Visualization Tools (e.g., Excel, Power BI, or Python Basics)
- Write basic Python scripts for data processing.
- Utilize libraries such as Pandas and Matplotlib.
- Data Security, Privacy, and Compliance with Legal Regulations
- Present insights through dashboards and reports.
- Communicate findings effectively to different stakeholders.
- Supporting Data-Driven Decision Making in Business Environments
- Apply technical and analytical skills in a real-world project.
- Demonstrate problem-solving and teamwork abilities.
This diploma is designed for:
- Students aiming to build a foundation in data and AI.
- Professionals looking to transition into data-focused roles.
- Individuals with Level 2 qualifications seeking career advancement.
- Those aspiring to work as Data Technicians, Junior Data Analysts, or Database Administrators.
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Assessment and Verification:
All units are internally assessed by Skillify-approved centers and externally verified by Skillify. The qualification follows a criterion-referenced approach, ensuring learners demonstrate full achievement of learning outcomes.
To achieve a Pass, learners must submit valid, sufficient, and authentic evidence of competence. Assessors will document and maintain transparent audit trails to guarantee consistency and compliance with Skillify’s quality assurance standards.
Our Courses:
Learn to plan, conduct, and lead audits of environmental management systems in line with ISO 14001 requirements.
Develop the skills to audit risk management frameworks and evaluate how organizations identify and manage risk.
Gain the competence to lead audits of occupational health and safety management systems and assess workplace safety controls.
Focuses on auditing food safety management systems to ensure effective hazard control and compliance.
Build practical expertise in leading quality management system audits and evaluating process performance.
Covers auditing requirements for child restraint systems to ensure safety, design, and regulatory compliance.
Prepares participants to audit anti-bribery systems and promote ethical and transparent business practices.
Learn to assess sustainability management systems for events, focusing on environmental, social, and economic impacts.
Develop the ability to audit social responsibility practices and organizational accountability.
Learn how to audit energy management systems to improve efficiency and energy performance.
Provides skills to audit laboratory competence, technical operations, and quality systems.
Designed to develop auditing expertise for quality systems in the medical device industry.
Focuses on leading audits of information security management systems to protect data and information assets.
Covers auditing practices for certification bodies involved in product, process, and service certification.
Introduces conformity assessment principles and auditing approaches used within certification frameworks.
Develops skills to audit proficiency testing providers and ensure reliable testing performance.
Focuses on auditing organizations responsible for producing and managing reference materials.
Provides a strong foundation in audit principles, audit planning, and audit team leadership.
Learn to assess management systems that support long-term performance and continual improvement.
Designed for auditing quality management systems in the petroleum, petrochemical, and natural gas sectors.
Covers auditing of quality plans to ensure consistent delivery of products and services.
Develop auditing skills for quality management systems applied to project environments.
Focuses on auditing information security risk management processes and controls.
Learn to audit information management principles for building information modelling (BIM).
Covers auditing of information management practices during the asset delivery phase.
Develop skills to audit information management throughout asset operation and maintenance.
Focuses on auditing security-focused information management for built environment projects.