Название: Data Analytics: A Comprehensive Beginner’s Guide To Learn About The Realms Of Data Analytics From A-Z
Автор: Benjamin Smith
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 103
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB

Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant.

Collating and gathering data is one thing while processing it is an entirely separate issue. It is not something that can be accomplished carelessly by merely staring at the data. If you are hoping to derive reasonable insights from the data generated, you must understand the data you are gathering, the approaches that are required, and the appropriate techniques to use when analyzing this data. How exactly can all this be achieved – well, this is exactly where this book comes in. The book presents the A-Z on the realms of data analytics. It is a beginner’s friendly guide. Hence, if you are totally new in the world of data analytics, we’ve got you covered!

In this book, you'll find useful strategies and resources that can be used to derive reasonable insight on the data generated. Hey! Data analytics is not the scary jargon you’ve probably have heard about. Why not start by buying this book today and uncover those simple yet comprehensive strategies employed in the world of data analytics!

What to expect in this book:
•Uncover the nitty-gritty of data and big data
•The two common data structures employed in data analytics
•The essentials of machine learning and how it relates to data analytics
•The data analytics life cycle
•Unraveling probability distributions and inferential statistics processes
•Some machine learning approaches to data analytics
•How to clean your data for analysis
•Data visualization tools and strategies
•Some common analytical and statistical packages in R,
•And much more!