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Data Science from Scratch: Practical Guide with Python
In the past ten years, Data Science has quietly grown to include businesses and organizations world-wide. It is now being used by governments, geneticists, engineers, and even astronomers.
Technically, this includes machine translation, robotics, speech recognition, the digital economy, and search engines. In terms of research areas, Data Science has expanded to include the biological sciences, health care, medical informatics, the humanities, and social sciences. Data Science now influences economics, governments, and business and finance.
This book is written for helping you to grasp data science in the easiest way possible with a lot of examples.
Instead of tough math formulas, this book contains several graphs and images which detail all importants data science concepts and their applications.
This book will help you explore exactly all data science techniques by using python.
This book takes a different approach that is based on providing simple examples of how each da science technique work, and building on those examples step by step to encompass data science.
The book designed for a variety of target audiences. The most suitable users would
Is this book for me and do I need programming experience?
f you want to smash Data Science from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you’ll be OK.
Can I loan this book to friends?
Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.
Does this book include everything I need to become a data science expert?
Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.
Can I have a refund if this book is not fitted for me?
Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at customer_service@datasciences-book.com.
Technically, this includes machine translation, robotics, speech recognition, the digital economy, and search engines. In terms of research areas, Data Science has expanded to include the biological sciences, health care, medical informatics, the humanities, and social sciences. Data Science now influences economics, governments, and business and finance.
This book is written for helping you to grasp data science in the easiest way possible with a lot of examples.
Instead of tough math formulas, this book contains several graphs and images which detail all importants data science concepts and their applications.
This book will help you explore exactly all data science techniques by using python.
This book takes a different approach that is based on providing simple examples of how each da science technique work, and building on those examples step by step to encompass data science.
The book designed for a variety of target audiences. The most suitable users would
Is this book for me and do I need programming experience?
f you want to smash Data Science from scratch, this book is for you. Little programming experience is required. If you already wrote a few lines of code and recognize basic programming statements, you’ll be OK.
Can I loan this book to friends?
Yes. Under Amazon’s Kindle Book Lending program, you can lend this book to friends and family for a duration of 14 days.
Does this book include everything I need to become a data science expert?
Unfortunately, no. This book is designed for readers taking their first steps in data science and further learning will be required beyond this book to master all aspects of data science.
Can I have a refund if this book is not fitted for me?
Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. will also be happy to help you if you send us an email at customer_service@datasciences-book.com.
136 pages, Kindle Edition
Published March 7, 2018
28 people are currently reading
31 people want to read
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Displaying 1 - 2 of 2 reviews
August 27, 2019
Pretty basic, short and clear explanation for beginner who’s interested in Data Science.
April 5, 2019
A bit rushed
It’s more of a dictionary. It’s sometimes good but always rushed and not always explained well. Often times, it’s not explaining at a beginners level. It had good intentions but unfortunately didn’t do so well.
It’s more of a dictionary. It’s sometimes good but always rushed and not always explained well. Often times, it’s not explaining at a beginners level. It had good intentions but unfortunately didn’t do so well.
Displaying 1 - 2 of 2 reviews