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Introduction to Data Science: Essential Concepts
If you are looking for a complete introduction to data science, this book is for you.
After his great success with his first book “Data Analysis from Scratch with Python”, Peters Morgan publish this book focusing now in data science and machine learning. Practitioners consider it as the easiest guide ever written in this domain.
Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.
To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations.
This book is an introduction to the main concepts of data science explained with easiest examples. Peters Morgan focus on the practical aspects of using data science and machine learning algorithms, rather than the math behind them.
Is this book for me and do I need programming experience?
No programming experience is required. This book is an introduction to data science without any type of programming.
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 machine learning and further learning will be required beyond this book to master all aspects.
Can I have a refund if this book doesn’t fit 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. We will also be happy to help you if you send us an email (email address inside the book).
"Peters managed to combine theory with practice for absolute beginners. I was impressed to see how easy itis to implement the more simple algorithms from scratch, and while I would notdo that normally, it was very helpful to understand what's going on behind the scenes.
I would recommend this for beginners in data Analysis and machine learning."
- Mike Beaumier , Data Scientist at Google.
After his great success with his first book “Data Analysis from Scratch with Python”, Peters Morgan publish this book focusing now in data science and machine learning. Practitioners consider it as the easiest guide ever written in this domain.
Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.
To get the most out of the concepts that would be covered, readers are advised to adopt hands on approach, which would lead to better mental representations.
This book is an introduction to the main concepts of data science explained with easiest examples. Peters Morgan focus on the practical aspects of using data science and machine learning algorithms, rather than the math behind them.
Is this book for me and do I need programming experience?
No programming experience is required. This book is an introduction to data science without any type of programming.
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 machine learning and further learning will be required beyond this book to master all aspects.
Can I have a refund if this book doesn’t fit 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. We will also be happy to help you if you send us an email (email address inside the book).
"Peters managed to combine theory with practice for absolute beginners. I was impressed to see how easy itis to implement the more simple algorithms from scratch, and while I would notdo that normally, it was very helpful to understand what's going on behind the scenes.
I would recommend this for beginners in data Analysis and machine learning."
- Mike Beaumier , Data Scientist at Google.
97 pages, Kindle Edition
Published July 8, 2018
62 people are currently reading
25 people want to read
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Displaying 1 - 2 of 2 reviews
July 4, 2022
it was my first time reading anything about Data science, so I needed something simple yet informative. this book gave me a basic understanding that someone should have as a beginner !
November 22, 2018
Mediocre
This book has limited content. I scanned through it cover to cover in a half hour. It's more suited for someone brand new to learning the data science field. I'm surprised I didn't see gini covered in the decision tree section yet entropy was covered.
This book has limited content. I scanned through it cover to cover in a half hour. It's more suited for someone brand new to learning the data science field. I'm surprised I didn't see gini covered in the decision tree section yet entropy was covered.
Displaying 1 - 2 of 2 reviews