Big Data: Practical Tools for Data Analysis

by Amir Sandach, Ofer Davidzadeh

Many data analysts see the statistical field, saturated with formulas and mathematics, as a threatening and intimidating area, so they approach it hesitantly or even try to distance themselves from it. Those who dare to discover in the course of their work, each in their field of work, that the theoretical knowledge they have acquired does not help them at the moment of truth - when they come across a practical question about analyzing their data. The fears are understandable. Choosing an inappropriate model and / or using the wrong tools will lead to incorrect results, and the data analyst will not even know about it. In other cases, the results will be correct, but the interpretation given to them may be mistaken, since not all that is significant is necessarily meaningful. Today, in the era of Big Data, which is characterized by an enormous amount of information coming from many different sources, in different qualities and data structures, these struggles are becoming more and more complex, creating the need for a practical guide for data analysts, giving them a “Toolbox” to solve the problems they face. This is one of the first books that deals with the practical statistical arena in the world of data analysis. The rich practical experience of the authors enabled them to refine to one book the main practice required by those involved in the field, and not to settle for only theory. In a simple and clear language, the book presents the most common statistical methods, accompanied by illustrations and examples from various and varied worlds. This book offers you the lead - whether you are an experienced data analyst already working in an industry or an emerging analyst who has just completed your undergraduate degree - hand in hand, from defining the problem to handling the data and adapting the statistical method to the solution to the conclusion.

Kindle Edition

Published October 18, 2018