Jump to ratings and reviews
Rate this book

Data Science: A Comprehensive Guide to Data Science, Data Analytics, Data Mining, Artificial Intelligence, Machine Learning, and Big Data

Rate this book
If you want to learn about data science and big data, then keep reading...
Two manuscripts in one
This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in.

There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.

Some of the topics covered in part 1 of this book
Some of the topics covered in part 2 of this book
So if you want to learn more about data science and big data, click the "add to cart" button!

167 pages, Kindle Edition

Published November 2, 2019

23 people are currently reading
6 people want to read

About the author

Richard Hurley

23 books1 follower

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
2 (50%)
4 stars
0 (0%)
3 stars
0 (0%)
2 stars
1 (25%)
1 star
1 (25%)
Displaying 1 of 1 review
Profile Image for Trajano Lima.
82 reviews
June 29, 2020
Very disappointing. Too general for experts and too repetitive for a beginner in tech. Sometimes I had a feeling I was reading the same paragraphs over and over again. Same topics covered multiple times along the book. It was not a completely waste of time, because there are a few interesting definitions. But, again, nothing too far from what you'd read on Wikipedia. Not worth your time time reading. If you want to learn about Data Science or Big Data, search for blogs.
Displaying 1 of 1 review

Can't find what you're looking for?

Get help and learn more about the design.