This updated second edition brings together text, video, full-colour illustrations, interactive activities and more, to provide nursing students with a comprehensive guide to understanding the healthy functioning of the human body.

An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.

Written by experts in the field, this well-established book covers the core fundamentals of HRM, contemporary issues and contains a rich array of research-based case studies.

This book provides an alternative to the 'school' of today, creating the conditions for teachers to go on a co-adventure with children and allow their magic to thrive.

The perfect companion to help you crack some of secondary science's most challenging concepts in your teaching.

This reader-friendly and accessible text introduces 50 teaching and learning approaches and explores how they work in practice by taking an honest look at the advantages and disadvantages of each one.

In this newly updated edition, Julian Grenier leads you through the new updated Ofsted framework, and shows you how to navigate the process focusing on doing what is best for children and families to build long-lasting and effective provision that can be maintained before, during and after inspection.

The future-forward framework in this book prepares leaders to harness the power of innovative ideas and digital strategies to create relevant, engaging, and intuitive school cultures.

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The text also features full integration of R and RStudio software.