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