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.