
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
While data science is powering most modern organisations its technical intricacies often remain confined to a select few.
This book is for those starting to work within this field to give them the foundations on which to build their confidence and understanding. Allowing them to contribute to projects through making decisions and acting on them.Â
Written in an accessible manner, Data Science Foundations provides explanations of complex concepts and methods in layman's terms supported by examples. It also includes a holistic view of data science covering the technical, ethical and delivery challenges illustrated by case studies.
Aligned with industry-recognised qualifications, this is the definitive guide for aspiring data scientists, providing a solid foundation in data analysis techniques.
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Information
Table of contents
- Front Cover
- Half-Title Page
- BCS, The Chartered Institute for IT
- Title Page
- Copyright Page
- Contents
- List of figures and tables
- Authors
- Foreword
- Acknowledgements
- Abbreviations
- 1. Introduction
- 2. Stakeholders
- 3. Project Delivery
- 4. Ethics and Lawfulness
- 5. Discovery
- 6. Properties of Data
- 7. Sourcing
- 8. Preparation
- 9. Basic Concepts
- 10. Model Selection
- 11. Visualisations
- 12. Model Evaluation
- 13. Communication
- 14. Machine Learning and Artificial Intelligence
- 16. Conclusion
- Glossary
- References
- Index
- Back Cover