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 - Softcover

Hurley, Richard

Softcover

ISBN 10: 1702211819 ISBN 13: 9781702211819

Publisher: Independently published, 2019

Synopsis

If you want to learn about Data Science, then keep reading...

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.

This book 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, click "buy now"!

Edition details

• Publisher: Independently published
• Publication date: 2019
• ISBN 10: 1702211819
• ISBN 13: 9781702211819
• Binding: Paperback
• Language: English
• Number of pages: 92