Skillify Level 4 Diploma in Data and AI – Data Analyst
Unleash your potential in the fast-growing field of data analytics with the Skillify Level 4 Diploma in Data and AI – Data Analyst, a globally accredited qualification designed to transform learners into skilled data professionals. This program equips you with the tools and knowledge to analyze complex datasets, generate actionable insights, and apply AI techniques to drive business success.
Whether you’re aiming to begin your career in data analytics or strengthen your existing analytical expertise, this diploma blends technical skills with practical applications to prepare you for a thriving career in industries such as finance, healthcare, technology, and marketing. Through interactive projects and case studies, you’ll learn to turn raw data into valuable business solutions that shape organizational strategies.
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- Duration : 4 weeks (Self-paced)
- Certificate of Completion
- Mobile & Desktop Access
- Teacher : Michael Davis
To enroll in the Skillify Level 4 Diploma in Data and AI – Data Analyst, applicants must meet the following criteria:
- Age Requirement:Minimum 18 years.
- Educational Requirements:A Level 3 qualification in Data, IT, Business, Mathematics, or a related field. Equivalent international qualifications are accepted.
- Experience: 1–2 years of experience in business intelligence, data handling, or technical support is recommended. Learners with strong academic foundations may also apply.
- English Language Proficiency: IELTS 5.5, CEFR Level B2, or equivalent. Proof of previous study in English may be accepted.
Unit Title | Credits | GLH |
Data Analysis Principles and the Role of a Data Analyst | 10 | 50 |
Advanced Data Collection, Preparation, and Cleaning Techniques | 10 | 50 |
Statistical Analysis and Data Modelling for Business Insights | 10 | 50 |
Data Tools and Programming for Analysts (e.g., Excel, SQL, Python, or R) | 10 | 50 |
Data Visualization, Dashboard Design, and Communication of Insights | 10 | 50 |
Data Governance, Ethics, and Compliance in Analytics Projects | 10 | 50 |
By the end of this course, learners will be able to:
- Data Analysis Principles and the Role of a Data Analyst
- Use statistical techniques to interpret data and identify patterns.
- Apply data cleaning and preprocessing methods.
- Advanced Data Collection, Preparation, and Cleaning Techniques
- Design dashboards using tools such as Power BI and Tableau.
- Present insights to stakeholders in a clear and actionable format.
- Statistical Analysis and Data Modelling for Business Insights
- Apply SQL to extract, manipulate, and analyze data.
- Manage structured and unstructured datasets effectively.
- Data Tools and Programming for Analysts (e.g., Excel, SQL, Python, or R)
- Write Python scripts to automate analysis.
- Apply libraries such as Pandas, NumPy, and Matplotlib.
- Data Visualization, Dashboard Design, and Communication of Insights
- Apply supervised and unsupervised learning techniques.
- Use machine learning models for prediction and decision support.
6.Data Governance, Ethics, and Compliance in Analytics Projects
- Develop a real-world project using multiple datasets and tools.
- Demonstrate professional reporting and presentation skills.
This program is ideal for:
- Aspiring data analysts and data-driven professionals.
- IT or business professionals seeking to expand into analytics roles.
- Recent graduates in mathematics, statistics, or computer science.
- Professionals aiming for roles such as Data Analyst, Business Intelligence Analyst, or Data Consultant.
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Assessment and Verification:
All units are assessed internally by Skillify-approved centers and externally verified by Skillify. The qualification uses a criterion-referenced assessment approach, ensuring learners meet all required outcomes.
To achieve a Pass, learners must provide valid, sufficient, and authentic evidence demonstrating competence across all learning outcomes. Assessors are responsible for maintaining transparent, consistent, and well-documented decisions in compliance with Skillify’s quality assurance framework.
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.