Data Science Audiobook By Richard Hurley cover art

Data Science

What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine Learning

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Data Science

By: Richard Hurley
Narrated by: Sam Slydell
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About this listen

If you want to learn about data science, then pay attention...

This audiobook 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.

This audiobook will discuss the following topics:

  • What Is Data Science?
  • What Exactly Does a Data Scientist Do?
  • A Look at What Data Analytics Is All About
  • What Is Data Mining and How Does It Fit in with Data Science?
  • Regression Analysis
  • Why Is Data Visualization so Important When It Comes to Understanding Your Data?
  • How to work with Database Querying
  • A Look at Artificial Intelligence
  • What Is Machine Learning and How Is It Different from Artificial Intelligence?
  • What Is the Future of Artificial Intelligence and Machine Learning?
  • And much more!

So if you want to learn more about data science, get your audiobook now!

©2019 Richard Hurley (P)2019 Richard Hurley
Machine Learning Data Science Artificial Intelligence Business Mining
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Poor written, very light knowledge of the subject

I listen for the half of the book. Felt like the content of each chapter was cut and paste, very repeatable and very trivial. Based on the content of the book the author doesn't know what Data Science field is, thus even for the introduction to the Data Science it is simply incorrect. Very bad book. Don't waist your time.

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