Cambridge Advanced National (AAQ) in IT: Data Analytics Digital Student Book Optional Unit F205 (2 Years)
Cambridge Advanced National (AAQ) in IT: Data Analytics Digital Student Book Optional Unit F205 (2 Years)
This digital student book offers comprehensive coverage of the Cambridge Advanced National in IT: Data Analytics Unit F205: Data visualisation. Mapped to OCR's specification, this book is designed to support students' learning of key concepts and information, while providing teachers with guidance on the content they're required to teach. With features such as contextual examples that highlight how concepts can be applied in the real-world and quick check questions to assess knowledge and understanding, it will engage students and help them build the skills and confidence needed to succeed in the qualification and beyond. Working towards endorsement by OCR.
Overview
This digital student book offers comprehensive coverage of the Cambridge Advanced National in IT: Data Analytics Unit F205: Data visualisation. Mapped to the OCR specification, this book has been designed to help students and teachers build the confidence, knowledge and skills needed to succeed in the new qualification. Ideal as both a learning and reference tool, it is structured to follow the order of the specification and unpack its content in an easy-to-follow, digestible way. It will help students learn key concepts and information, while providing teachers with guidance on the breadth and depth of content they're required to teach. Written by Alan Jarvis, an experienced teacher and practitioner, it will help students understand the process of data visualisation, as well as how to take data in a basic or raw format, manipulate it and present it in a way that is easily understood and provides meaningful insights to decisions-makers. This book is written to be engaging and motivating. “Learning in Context” examples help students relate the concepts they are learning to the real world, and worked examples guide their development of essential skills, step-by-step. Furthermore, frequent quick-check questions help them to assess their progress and understanding of each topic. The flexible digital format means content can be accessed anywhere, at anytime. We are working towards endorsement by OCR.
Features
- The book provides comprehensive coverage of the OCR specification and unpacks it in an easy-to-follow, digestible way. This supports students’ learning of key concepts and essential information, while providing teachers with comprehensive guidance on the depth of content they need to teach. We are working towards endorsement by OCR.
- Written for students, using accessible and appropriate language, short and focused paragraphs, as well as modern and useful contextual examples.
- Engaging “Learning in context” features highlight how concepts can be applied within the industry or role, helping students to make connections between what they are studying and the real world.
- Written by expert author Alan Jarvis, an experienced teacher and practitioner.
- Worked examples guide students' development of essential skills, step-by-step.
- Frequent quick check questions empower students to assess their progress and understanding of each topic. Answers to these can be found as a downloadable PDF within our online platform, Cambridge Go.
- Key words in bold and a glossary help students to grasp and master new vocabulary.
- Great for use in class, as well as for setting homework tasks or independent learning.
- Designed to better prepare students for and build confidence ahead of assessments.
- Digital format means content can be accessed anytime, anywhere – on a phone, tablet or computer.
Contents
- Acknowledgements
- Introduction
- About the author
- How to use this book
- Unit F205: Data visualisation
- TA1: The value and importance of data visualisation
- TA2: Planning for data dashboards
- TA3: Techniques for creating a data dashboard
- TA4: Communicating information and interpreting data
- TA5: Evaluating the effectiveness of visualisation solutions
- Glossary
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