Title
An Introduction To Data Science-used
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An Introduction To Data Science By Jeffrey S. Saltz And Jeffrey M. Stanton Is An Easytoread, Gentle Introduction For People With A Wide Range Of Backgrounds Into The World Of Data Science. Needing No Prior Coding Experience Or A Deep Understanding Of Statistics, This Book Uses The R Programming Language And Rstudio Platform To Make Data Science Welcoming And Accessible For All Learners. After Introducing The Basics Of Data Science, The Book Builds On Each Previous Concept To Explain R Programming From The Ground Up. Readers Will Learn Essential Skills In Data Science Through Demonstrations Of How To Use Data To Construct Models, Predict Outcomes, And Visualize Data.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of this book? A: The book measures seven point thirty-eight inches in length, zero point sixty-seven inches in width, and nine point thirteen inches in height.
- Q: How many pages does this book have? A: This book contains two hundred eighty-eight pages, providing a comprehensive introduction to data science concepts.
- Q: What type of binding does this book have? A: This book is available in paperback binding, making it lightweight and easy to handle.
- Q: How do I start learning from this book? A: You can begin reading from the first chapter, which introduces the basics of data science and gradually builds on each concept.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners and requires no prior coding experience or deep understanding of statistics.
- Q: What programming language does this book use? A: The book uses the R programming language and RStudio platform for its data science examples and exercises.
- Q: How should I care for this book? A: To keep this book in good condition, store it in a cool, dry place and avoid exposing it to direct sunlight.
- Q: Can I clean this book if it gets dirty? A: Yes, you can gently wipe the cover with a damp cloth to remove any dirt or smudges.
- Q: Is there a warranty on this book? A: Books typically do not come with a warranty, but you can check the return policy from the retailer.
- Q: What if my book arrives damaged? A: If your book arrives damaged, contact the retailer immediately for assistance with returns or exchanges.
- Q: How does this book compare to other data science books? A: This book is ideal for beginners and focuses on making data science accessible, unlike more advanced texts that assume prior knowledge.
- Q: Is this book good for someone with no math background? A: Yes, this book is written for readers with a wide range of backgrounds, including those without a strong math foundation.
- Q: What topics are covered in this book? A: Topics include data modeling, outcome prediction, and data visualization, providing a well-rounded introduction to data science.
- Q: Who are the authors of this book? A: The book is authored by Jeffrey S. Saltz and Jeffrey M. Stanton, both experts in the field of data science.
- Q: Where can I purchase this book? A: You can purchase this book from major online retailers or directly from SAGE Publications.
- Q: Is this book part of a series? A: No, this book stands alone as a comprehensive introduction to data science and is not part of a series.