A Hands-On Introduction to Data Science
- Textbook
Description
This 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…
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Key features
- 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
About the book
- DOI https://doi.org/10.1017/9781108560412
- Subjects Business and Management,Computer Science,Data Science, Databases, Data Mining, and Information Retrieval,Management: General Interest
- Format: Hardback
- Publication date: 02 April 2020
- ISBN: 9781108472449
- Dimensions (mm): 246 x 189 mm
- Weight: 1.14kg
- Contains: 5 b/w illus. 135 colour illus. 36 tables 154 exercises
- Page extent: 424 pages
- Availability: Temporarily unavailable - available from
- Format: Digital
- Publication date: 01 February 2020
- ISBN: 9781108560412
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