Data Analytics) [Pdf Download] ¹ Arthur Zhang


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Career I never give bad reviews but this book was so bad it made me unlock the give 1 star rating on good reads achievement in my lifeUselessness it made me unlock the give 1 star rating on good reads achievement in my lifeUselessness on books I read back in school daysThere were 0 practical examples on anything It was like the author ust copied and pasted the first paragraph of a bunch of interrelated topics and called it a book. RING DATA SCRUBBING DESCRIPTIVE ANALYTICS INFERENTIAL STATISTICS PREDICTIVE ANALYTICS PREDICTIVE MODELS DESCRIPTIVE MODELING DECISION MODELING PREDICTIVE ANALYSIS METHODS MACHINE LEARNING TECHNIUES DATA ANALYSIS WITH R ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT CRM THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR PREDICTIVE ANALYTICS BUSINESS MARKETING STRATEGIES FRAUD DETECTION SHIPPING BUSINESS CONTROLLING RISK FACTORS THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES DESCRIPTIVE AND PREDICTIVE ANALYSIS CRUCIAL FACTORS FOR DATA ANALYSIS ANALYSIS CRUCIAL FACTORS FOR DATA ANALYSIS AND FLEXIBLE TECHNICAL STRUCTURE BUSINESS INTELLIGENCE HYPER TARGETING WHAT IS DATA SCIENCE DATA MUNGING DEMYSTIFYING DATA SCIENCE SECURITY RISKS TODAY BIG DATA AND IMPACTS ON EVERYDAY LIFE FINANCE AND BIG DA.

Summary Data Analytics

Man this like interrelated
between all of 
all of main ideas Everything is too simplified and so theoretical 210 Infeasible the book itself doesn t explain the branches of analytics data etc All in one on surface Good read with practical use cases across industries and verticals I liked the use cases across business functions concepts and terms Would have The Ultimate Guide to Data Science and Analytics This practical guide is accessible for the reader who is relatively new to the field of data analytics while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives The need for a succinct and informal guide to this important field has never been greater RIGHT NOW you can get ahead of the pack This coherent guide covers everything YOU NEED TO KNOW ON THE SUBJECT OF DATA need to know on the subject of data with numerous concrete examples and invites the reader to dive further into this exciting field Students from a variety of academic backgrounds including computer science business engineering stat. Data AnalyticsOved to see real life examples
with measureable business 
measureable business If you want a non practical purely theoretical treatment on the topic want a non practical purely theoretical treatment on the topic Data Analytics and its relation to Big Data then go ahead and read this book If you already walk in that park this will be an annoying book to take a stroll in Maybe a high schooler could read it when thinking about Istics anyone interested in discovering new ideas and insights derived from data can use this as a textbook At the same time professionals such as managers executives professors analysts doctors developers computer scientists accountants and others can use this book to make a uantum leap in their knowledge of big data in a matter of only a few hours Learn how to understand this field and uncover actionable insights from data through analytics UNDERSTAND the following key insights when you grab your copy today WHY DATA IS IMPORTANT TO YOUR BUSINESS DATA SOURCES HOW DATA CAN IMPROVE YOUR BUSINESS HOW BIG DATA CREATES VALUE DEVELOPMENT OF BIG DATA CONSIDERING THE PROS AND CONS OF BIG DATA BIG DATA FOR SMALL BUSINESSES AND CONS OF BIG DATA BIG DATA FOR SMALL BUSINESSES COST EFFECTIVENESS OF DATA ANALYTICS WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION DATA GATHE.