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.

Guiding you through how to plan your research project, this Little Quick Fix covers everything from how to get started and the stages of research, to avoiding procrastination and staying on track.

This accessible guide takes you through the process of designing, conducting and writing up a research project using case study methods. In his characteristic warm and friendly style, Gary Thomas covers each step at a confidence-building pace, helping you to get to grips with the theory and practice of doing a case study. Focusing on vital issues like validity, reliability and quality in research, the author helps you ensure your research is rigorous and methodologically sound.

A step-by-step on five different qualitative approaches - thematic analysis, interpretative phenomenological analysis, grounded theory, narrative analysis and discourse analysis.

Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.

Sagt man »auf ein Projekt bestehen« oder »auf einem Projekt bestehen«? Die Fragen zu typischen Zweifelsfällen der deutschen Sprache, die regelmäßig an die Duden-Sprachberatung herangetragen werden, werden in diesem Wörterbuch ausführlich behandelt. Sortiert von A bis Z gibt der Band Antworten auf orthografische, grammatische und stilistische Fragen und bietet Empfehlungen bei Varianten. Durch einfache Erklärungen, Übersichtsartikel zu Themen wie Kommasetzung oder Fremdwörtern sowi...

An introduction to rapid research, this book shows you how to do quick, quality research that balances accommodating time and resource constraints with credible research design.

This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.

An unrivalled exploration of what visual ethnography is and what it should be, this book maintains a fine balance between theory and practice. The author provides up-to-date digital and technological topics in this 4th edition; offering clear, relevant guidance on the approaches that contemporary students want to understand and the tools they want to use.