Now in a fully updated third edition, The Sociology of Work draws on the work of classic and contemporary theorists, to provide readers with a thorough exploration of all aspects of work and employment, including paid and unpaid work, standard and non-standard employment, and even unemployment.

Need to raise your writing game? Save time and improve your grades, with this snappy guide to improving your academic writing.

This is the perfect guide to conducting a research project in politics and international relations from start to finish, from formulating a research question and conducting a literature review to writing up and disseminating your work.

This is an essential companion to your coaching training. It guides you through the foundational knowledge and skills, looks at ethics and practice issues, answers key questions about the training process, and includes top tips from students.

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge.

This book aims to give non-Muslim teachers the confidence to engage meaningfully with important facets of Muslim pupils' lives leading to a richer and more rewarding experience in the classroom.

With a calming, reassuring tone, Nicholas Walliman gives students the ability and confidence to plan, design, and prepare for a research project.

This book gives a broad, easy-to-read overview of the cultural, social and political ideas that have shaped our education system and how we think about the concept of Education. This new edition has been updated with new chapters, a new case study feature and coverage of hot topics trending today.

Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims.

This book builds on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping, to consider Spatial Data (ie the location attached to data), issues of inference, linking Big Data, Geography / GIS / Mapping and Spatial Analytics. A 'learning by doing' text book, it covers important theoretical issues and helps to develop practical skills in the reader for addressing these.