Data Science: Main Principles

This book is an excellent guide for those who want to major in Data Science. The first part of the book guides you in understanding what data science is and what it entails. It also helps you to understand Big Data. This part will help you become familiar with the fundamentals of data science. The various steps involved in data science are discussed. This includes all the steps necessary for one to be able to draw patterns and meaningful conclusions, and then make predictions from a set of data. A number of algorithms have been developed so that they can help data scientists in their work of exploring data. This book helps you understand the various computing algorithms which are helpful in data science. You will learn how these algorithms work and the areas in which they can be applied. It is good for a data scientist to have a good computer programming knowledge. R and Python are the two main programming languages which are widely used in data science. However, not everybody is good in programming. Some people find computer programming to be a tough subject, or they lack interest in it. However, there are software applications which have been developed to be used solely in data science. This book discusses such software and guides you on how to use them. This book then helps you understand the various ways that you can apply data science in your business. The following topics are discussed in this book: - What is Data Science? - Approaches to Data Science - Data Science Software - How to Implement Data Science in your Business

• | Author: Nicholas Brown
• | Publisher: CreateSpace Independent Publishing Platform
• | Publication Date: Sep 21, 2017
• | Number of Pages: 34 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1976554918
• | ISBN-13: 9781976554919