In this fourth edition, the authors present the fundamentals of research design and data management with five distinct methods of analysis: exploring, describing, ordering, explaining and predicting.
This is the definitive guide to doing constructivist grounded theory. From gathering rich data and conducting interviews, to undertaking coding and writing up your study, this down-to-earth book guides you through all the steps you need to do grounded theory research. This revised third edition: Showcases 9 new case studies of grounded theory research in action from scholars across the globe, including Australia, Canada, Japan and the United States. Enables you to see, at a glance, how each chapter will develop your understanding with new learning objectives. Supports you to expand your knowledge with new further reading suggestions in every chapter. Retaining Kathy Charmaz's characteristic warm and accessible style, this book is essential reading for anyone - undergraduate, postgraduate or researcher - looking to understand and do grounded theory research.
The updated Second Edition of the comprehensive how-to guide functions as a set of blueprints, supported by research and the author's extensive experience with clients in industries all over the world, for conveying data in an impactful way.
A Practical Guide to Telling Persuasive Policy Stories
A guide for how to tell clear, data-driven stories that will make an impact. People with important evidence-based ideas often struggle to translate data into stories their readers can relate to and understand. And if leaders can't communicate well to their audience, they will not be able to make important changes in the world. Why do some ......
This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional. It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark. Learning features include: - Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises giveyou the opportunity to apply your learning. Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton. Dr Ofer Engel is a Data Scientist at the University of Groningen.
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.
A practical guide to creating value from data and AI
As a forward-thinking business leader, do you know how to make best use of data and AI, to improve your business and act strategically and decisively? This fully updated second edition of Data Means Business is a comprehensive and pragmatic guide for leaders that sets out a proven approach for developing the mindset and strategies required ......
Data Analytics and Statistics provides students with a comprehensive survey of the field, equipping them with the knowledge they need to understand and apply statistics across a broad spectrum of disciplines. Featuring a highly practical approach, the text guides students through the process of statistical analysis utilizing the software JMP and ......
For those new to Python and data science, this text guides readers through the tools and techniques used to analyze data and generate predictive models. This book starts with the basics, includes practice questions to check understanding, and delves into advanced topics like neural networks and deep learning, all with clarity and a touch of humor.
