Predictive Analytics For Dummies

Anasse Bari, Ph.D. . is data science expert and a university professor who has many years of predictive modeling and data analytics experience.Mohamed Chaouchi is a veteran software engineer who has conducted extensive research using data mining methods. Tommy Jung is a software engineer with expertise in enterprise web

All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. Use Big Data and technology to uncover real-world insightsYou don't need a time machine to predict the future. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. If

Predictive analytics is the tool that can make it happen, and this book eliminates the tricks and shows you how to use it. You'll learn to prepare and process your data, create goals, build a predictive model, get your organization's stakeholders on board, and more. From the Back CoverReal-world tips for creating business valueDetails on modeling, data clustering, and more Enterprise use cases to help you get started Learn to predict the future! Business today relies on effectively using data to predict trends and sales. Inside How to start a projectIdentifying data typesModeling tipsWorking with algorithmsHow dat

Over Over 400 pages of great information, the authors explain all aspects of predictive Amazon Customer First impression: this is a major upgrade from the first edition. Over 400 pages of great information, the authors explain all aspects of predictive analytics and data modeling. This is one of the rare books that cover everything you need to know about this fascinating field. The book covers types of data and various aspects of analytics, data preparation, data modeling, algorithms, technologies, and it dives into the realm of big data. It provides solid insights on how to and what to expect. This is a must read by all practitioners and would-be data scie. 00 pages of great information, the authors explain all aspects of predictive First impression: this is a major upgrade from the first edition. Over Over 400 pages of great information, the authors explain all aspects of predictive Amazon Customer First impression: this is a major upgrade from the first edition. Over 400 pages of great information, the authors explain all aspects of predictive analytics and data modeling. This is one of the rare books that cover everything you need to know about this fascinating field. The book covers types of data and various aspects of analytics, data preparation, data modeling, algorithms, technologies, and it dives into the realm of big data. It provides solid insights on how to and what to expect. This is a must read by all practitioners and would-be data scie. 00 pages of great information, the authors explain all aspects of predictive analytics and data modeling. This is one of the rare books that cover everything you need to know about this fascinating field. The book covers types of data and various aspects of analytics, data preparation, data modeling, algorithms, technologies, and it dives into the realm of big data. It provides solid insights on how to and what to expect. This is a must read by all practitioners and would-be data scie. Highly recommended. This is an all encompassing book about Predictive Analytics, covering all the topics you run into in this field. As a practitioner, I found this book very satisfying; it strikes a balance between in-depth analysis, and broad-ground covering of the relevant topics. The tips dispensed throughout the book were especially helpful. Also, the authors were able to communicate very complex topics relating to modeling aspects, and data preparation with clarity and precision rarely found in specialized books. Highly recommended.. "Amazing!" according to Makaveli. Great book, the leading source for learning about data science! Very knowledgable authors with great expertise in their fields. Would recommend this to anyone interested in learning more about predictive analytics!