This is a draft of the book Introduction to Data Science
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Goals of the Book
Data Science is a cross-disciplinary subject involving hands-on experience and business problem-solving exposures. The majority of existing introduction books in data science are about the modeling techniques and implementation using R or Python. However, they fail to introduce data science in a context of the industrial environment. Moreover, a crucial part, the art of data science in practice, is often missing. This book focuses on the hands-on and business problem-solving such that readers can quickly and easily transfer knowledge to real-world practice.
Based on industry experience, this book outlines the real world scenario and points out pitfalls data science practitioners should avoid. It also covers big data cloud platform and the art of data science such as soft skills. We use R as the main tool and provide code for both R and Python.
Our Target Audience
This text is intended for a broad audience as both an introduction to data science as well as a guide to applying them. Non-mathematical readers will appreciate the emphasis on problem-solving with real data across a wide variety of applications and the reproducibility of the companion R and python code.
Readers should know basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Key Features
- Comprehensive: covers not only technical skills but also soft skills and big data environment in industry
- Hands-on using both R and Python
- Repeatable
- End-to-end cycle of a typical data science project
- Pitfalls that everyone should avoid
Others
- CRC Press
- Deadline: Dec 1, 2019
- Approximately 450 ~ 500 pages
- Color book
Short links:
- https://raw.githubusercontent.com/happyrabbit/DataScientistR/master/Data/SegData.csv to http://bit.ly/2P5gTw4
- https://raw.githubusercontent.com/happyrabbit/DataScientistR/master/Data/AirlineRating.csv to http://bit.ly/2TNQ6TK
- https://raw.githubusercontent.com/happyrabbit/DataScientistR/master/Data/sim1_da1.csv to http://bit.ly/2KXb1Qi
- https://raw.githubusercontent.com/happyrabbit/DataScientistR/master/Data/topic.csv to http://bit.ly/2zam5ny