A Hands-On Introduction to Data Science
A Hands-On Introduction to Data Science
Experience the eBook and the associated online resources on our new Higher Education website.
Go to site
For other formats please stay on this page.
£43.99
GBPThis book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.
- Almost everything in the book is accompanied with examples and practice - both in-chapter and end-of-chapter so students are more engaged because they can use hands-on experiences to see how theories relate to solving practical problems
- Assumes no prior technical background or computing knowledge and lowers the barrier for entering the field of data science so that students from a range of disciplines can benefit from a more accessible introduction to data science
- Supplemented by a generous set of material for instructors, including curriculum suggestions and syllabi, slides for each chapter, datasets, program scripts, answers and solutions to each exercise, as well as sample exams and projects which gives instructors end-to-end support for teaching a data science course
Reviews & endorsements
'Chirag's extensive experience as a teacher shines through in this textbook, which lives up to its promise to be a 'hands on' introduction to data science. Students have a chance to apply their learning to real-life examples from diverse fields, with hands-on examples that build on basic techniques and utilize tools of data science practice throughout the book. I am particularly pleased to see him weave human issues into his approach, putting principles ahead of particular tools and pointing to ethical challenges at various stages of working with data to help his audience develop an appreciation of ways context and interpretation shape data practices. He exposes students to a more nuanced perspective in which human as well as machine input shapes data science outcomes. It is an awareness that we all will need if we are to use data appropriately to tackle the complex challenges we face today.' Theresa Dirndorfer Anderson
'Dr. Shah has written a fabulous introduction to data science for a broad audience. His book offers many learning opportunities, including explanations of core principles, thought-provoking conceptual questions, and hands-on examples and exercises. It will help readers gain proficiency in this important area and quickly start deriving insights from data.' Ryen W. White, Microsoft Research AI
Product details
April 2020Hardback
9781108472449
424 pages
253 × 195 × 25 mm
1.14kg
5 b/w illus. 135 colour illus. 36 tables 154 exercises
Available
Table of Contents
- Part I. Introduction:
- 1. Introduction
- 2. Data
- 3. Techniques
- Part II. Tools:
- 4. UNIX
- 5. Python
- 6. R
- 7. MySQL
- Part III. Machine Learning:
- 8. Machine learning introduction and regression
- 9. Supervised learning
- 10. Unsupervised learning
- Part IV. Applications and Evaluations:
- 11. Hands-on with solving data problems
- 12. Data collection, experimentation and evaluation.
