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.

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.

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.

A step-by-step and practical guide of how to compile a professional portfolio for use throughout nursing programmes and in initial nursing roles, where portfolios are an essential tool for interviews and employee appraisals.

An essential guide for students transitioning from undergraduate to registered nurse. The book covers all topics included on a final year transition module, is suitable for all fields of nursing, and is mapped to the latest NMC standards.

In the Second Edition of this bestselling textbook, the authors use real-world examples to introduce basic principles in statistics with no prior knowledge or experience assumed. With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book will provide readers with a step-by-step introduction to using statistics. Chapters address the following questions:Why bother learning statistics in the first place and are they relevant to re...

An essential guide to wellbeing in education for all school staff from leaders to classroom teachers.

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.