Cambridge Advanced National (AAQ) in IT: Data Analytics Student Book
Published on 19. June 2025
Book
Paperback/Softback
277 pages
978-1-009-81731-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Primary & secondary/elementary & high school
Product notice
Paperback (trade)
Illustrations
Worked examples or Exercises
Dimensions
Height: 218 mm
Width: 275 mm
Thickness: 13 mm
Weight
620 gr
ISBN-13
978-1-009-81731-8 (9781009817318)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
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