Cambridge Advanced National (AAQ Level 3) in IT: Data Analytics
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Unit F200: Fundamentals of Data Analytics
Topic Area 1: Understanding Data
1.1–1.2 Data, Information and Knowledge, and Big Data
1.3–1.4 File Formats, Data Types and Classifications
Topic Area 2: Managing Data
2.1 Data Lifecycle Management (DLM) and the Data Analytics Pipeline
2.2 Creation and Capture
2.3 Storage
2.4–2.6 Data Transformation, Usage Analysis and Visualisation
2.7–2.8 Archival and Destruction
Topic Area 3: How Data Can Be Accessed and Managed Across Platforms
3.1–3.3 APIs, User Access Controls, and Permissions
Topic Area 4: Legal Considerations
4.1 Legislation and the Role of the ICO when Using Data
Topic Area 5: Job Roles, Skills and Attributes in Data Analytics
5.1–5.3 Job Roles, Personal Attributes, and Communication Skills
Unit F201: Big Data and Machine Learning
Topic Area 1: The Scope of Managing Big Data
1.1–1.2 The 6Vs and Evolution of Big Data
1.3–1.4 The Capture, Purpose, Importance and Use of Big Data Analytics
Topic Area 2: The Infrastructure Challenges of Big Data
2.1 Types of Big Data
2.2–2.3 Data Mining
2.4–2.6 Big Data Infrastructure, Data Science, and Data Analytics
Topic Area 3: Big Data, Machine Learning and Artificial Intelligence
3.1 Artificial Intelligence and Machine Learning
Topic Area 4: Legal and Ethical Issues in Data Management
4.1–4.2 Legal Issues and Ethical Issues
Topic Area 5: Environment and Society
5.1–5.2 Environment and Society
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