Two exact books in one about the science of analyzing data for business.
Book one: Learn more about how to analyze data now! This elaborate guide will take you on a journey to multiple aspects of this skill. There is a trick, a science, to doing it the right way, and some of the most important secrets will be revealed in the chapters ahead of you. You'll learn, among others:
What the big deal with big data is and what to do with them
Fundamentals, risks, and strategies to analyze data
Social network data analysis
Applications to health care, business, and industrial data
Tips on analyzing decision trees, regression, and sentiment
The most important basics each analytical geek wants to know before takes these practices to the next level.
Book two: Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about:
Modeling data and visualization
The three Vs of big data and what to do with them
Software recommendations and applications
Machine algorithms and interesting side notes regarding them
Rules, infrastructure, adaptation, and other techniques
Perception and cognition basics that apply to data
Efficient uses of regression, database querying, machine learning, and data warehousing
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Bridges the gap between science and business