Cambridge Advanced National (AAQ) in IT: Data Analytics Student Book

Flexible resources matched to Cambridge OCR's specification. Support the development of essential skills and knowledge.

Victoria Ellis (Author), Bernie Fishpool (Author), Alan Jarvis (Author)

9781009817318, Cambridge University Press & Assessment

Paperback / softback, published 19 June 2025

277 pages
27.3 x 21.8 x 1.2 cm, 0.62 kg

This printed student book offers comprehensive coverage of the mandatory units for the Cambridge Advanced National in IT: Data Analytics (Certificate and Extended Certificate). Endorsed for Cambridge OCR's qualification and mapped to their specification, the book is designed to support students' learning of key concepts and information, while providing teachers with guidance on the depth of content they're required to teach. With features such as practice questions and contextual examples highlighting how concepts can be applied in the real-world, the book will engage students and help them build the skills and confidence needed to succeed in the qualification and beyond.

Acknowledgements
Introduction
About the authors
How to use this book
Unit F200: Fundamentals of data analytics
TA1: Understanding data
TA2: Managing data
TA3: How data can be accessed and managed across platforms
TA4: Legal considerations
TA5: Job roles, skills and attributes in data analytics
Unit F201: Big data and machine learning
TA1: The scope of managing big data
TA2: The infrastructure challenges of big data
TA3: Big data, machine learning and artificial intelligence
TA4: Legal and ethical issues in data management
TA5: Environment and society
Unit F202: Spreadsheet data modelling
TA1: Principles of spreadsheet modelling
TA2: Planning the design of a spreadsheet model
TA3: Creating the spreadsheet model
TA4: Delivering the outcomes
TA5: Evaluation
Glossary
Index

Subject Areas: Educational: Vocational subjects [YQY]