Predictive Analytics For Dummies

For anyone interested in the world of predictive analytics, this is a great and timely book to start with. It breaks down complicated concepts in a manner that 'dummies' can understand. The science of predictive analytics is never easy to explain to make it easily understandable and comprehensible, but the authors have done a thorough job. A must read for anyone beginning to delve into predictive analytics and computer science at large.

Predictive Analytics for Dummies is one of the remarkable books that I have recently read, and it requires investment of time and effort. Dr. Bari explains Data Predictions and avoiding analysis trap were in some senses amazing and helped me to take my learning to the new, further level. The material might be sufficiently technical to scare some readers away, but those who remain will definitely learn more about the craft. As a computer science major in college, I can say this book contains insanely detailed explanations about data analytics. If you are familiar with programming and data structure in various formats, I would want to say this book will definitely fill in the blanks with very fine tuned details about how data analytics is performed. I highly recommend this book to anyone interested in data science.

Being someone who has never read any books based on Predictive Analysis and has very limited knowledge in the area of marketing and data mining, I found this book very informative. Most of the information was presented to me in very simple terms, although there were a few parts that felt a bit overwhelming when there were a lot of algorithms involved. I would recommends this book to someone who finds the idea of creating a program to predict something is possible as I found it very helpful in explaining how to predict trends based on data but I personally can not recommend this book to someone who considers themselves an expert in this area. The book uses very relatable and real life examples of data preparation, decision trees and "big data", which helped make the book much more interesting for me.

This is a very high level overview for people who may not understand statistical concepts of predictive analytics. The pros are that it contains decent, easy to understand descriptions, but the biggest con is that it glosses over some of the key caveats of the methods it is describing. This book is best for someone who has had little to no machine learning or exposure to data. It doesn't contain in-depth information. It's repetitive in places, but it's also targeting a demographic very unfamiliar with the topics, and who might choose to page to a specific topic rather than read in sequence.

As a student with almost no experience in predictive analysis, I found that this book is an excellent way to introduce me to the field. Dr. Bari presents the topic is a clear, logical, and easy to follow way, first teaching readers what Big Data is, what tools are used to extrapolate vital information from it, and how this information can be used. The book manages to be both informative and readable, and the examples and diagrams the authors provide add clarity at the most complex parts of the book. Although the book is very clear and would benefit someone with no experience in programming, having at least a limited a background in the field is definitely a plus, and the book uses examples of code and understanding programming language is definitely helpful.

This book will make you change your perspective on internet privacy. Bari's Predictive Analytics for Dummies has an entire section devoted to case study examples of how social and marketing analytics have changed the way businesses use big data. "Tweets as predictors for the stock market" and "Target store predicts pregnant women" were two topics I found extremely interesting, but also a bit terrifying. The more you read this book the more you question what information businesses have on you. Overall, this book serves as a good beginning tool for those interested in big data, using predictive models, or even wishing to get into the marketing business. I definitely would recommend this to a friend or family member!

As a computer science minor, I found Predictive Analytics for Dummies to be a great introductory text on applying algorithms and data structures and easily explains the roles of big data and predictive analytics in seen in marketing and data mining. It's a fast read, about 330 pages, but garners a lot of good information so as to keep for a while. It's a nice book for IT experts, businessmen, students, really anyone can take something from this book if you're at all interested in using big data, using predictive analytics into your business, or computer science applications. Overall, Predictive Analytics for Dummies is a fantastic read and a book I'll keep reading long after college.

Predictive analysis and data mining are becoming some of the most useful areas of study. This book gives a great overview of a very complicating topic and is very easy to understand for someone who may have no prior knowledge on the subject. It helps you understand the vast areas in which predictive analysis is useful from analyzing Google search queries to predict epidemics to how Target was able to predict a woman was pregnant. It includes many charts and other graphs to better enhance your understanding as well as pointing out helpful tips and pointers throughout each chapter. This field of study is becoming very important in the business world and this book will help you get a jumpstart.

What a great resource for a predictive analytics beginner like me! Very informative and easy to understand, Predictive Analytics for Dummies was actually a fun read that I would recommend to anyone looking to broaden their knowledge into computer science. This is a book that I will keep in my personal library for the rest of my life, as I think it will prove helpful to me thought my years. And in addition to this great read, the shipping was very fast! 10/10!

As someone with introduction level background in computer science, I gained many interesting knowledge after reading this book such as its explanation of complex algorithms and how predictive analytics is the key to have an advantage in our world today. The book gives very easy to understand guide as to how someone can make use of data to make predictions. Overall, I found the information included in the book not only refreshing but also practical as anyone can start following the steps explained in the book and make their own predictions about the world.

Predictive Analysis for Dummies gives great insight into the field of predictive analysis. I had no idea it had so many uses before reading this book. Being able to predict outcomes for your business using advertising and politics is an essential asset. I really liked this book because it's clearly written for the average person. It doesn't confuse you with technical lingo and tells you exactly what it means. It uses real world examples to explain the points made and makes the subject easy to understand. As a college student using the book to better understand the subject, I would highly recommend it to anyone trying to gain a simple understanding of this subject.

Predictive Analytics for Dummies was a truly informative and eye-opening read. As a student double majoring in business and computer science, I felt like this book really catered to my inquiries on how to meld the two. The content on software installation and data structuring and modeling appealed to the computer scientist in me, whereas the idea that one can predict the future of a business venture appealed to the businesswoman in me. It seems to me that predictive analytics is the future and this book is the start of my understanding.

While I do not have much experience with data mining, I found this book both fascinating and informative. The seventh chapter on predicting the future using data classification was particularly interesting. I had no idea there was such capability in this area. Though I am certainly no expert, this book has started my journey into the realm of predictive analytics and data mining. I would highly recommend it to anyone with an interest in the subject.

This book provides a very helpful introduction and guide for Predictive Analytics. The book manages to explain both the most simple and complex aspects of Predictive Analytics in an accessible way. The book provides a helpful guide to understanding how to predict trends based on data, and uses helpful everyday examples to reinforce the point. Moreover, the "steps" method used in some chapters, really helped explain aspects of predictive analytics in a natural and intuitive way. I would definitely recommend it for beginners.

I would recommend this book to anyone trying to learn more, or even interested in Predictive Analytics. The chapters and overview of the whole book is easy to understand and the book has a great flow. Having no previous knowledge or experience with predictive analytics I think this book is a great first step to understand the basic concepts and all relative information. Dr. Bari did an excellent job making all topics clear and explaining and introducing all of the topics in a way that a new reader would understand.

Fantastic book for learning the basics of predictive analytics. Every technique or method is backed up with a helpful example, or better yet, real world case. Code examples in Python and R are understandable to anyone who has even a basic knowledge of computers, and only an elementary knowledge of statistics is needed throughout the book. Well written, easy to read and follow, and very helpful in introducing the field.

The information provided in this read is presented such that any beginner could pick it up and understand perfectly. Bari's explanation of data preparation, structure, and building business value is incredibly fascinating and interests you as well as informs you. I would hands down recommend "Predictive Analytics For Dummies" to a friend who would like to learn about this topic.

This book overall is very helpful, from the wording, to the diagrams, and to the many comparisons made to help the reader understand what is going on. For example, Chapter 4: complexities of data there is a diagram comparing the high volume of data to a vortex or tsunami. It goes into explaining how programmers filter out the “big data” so that they can get to the “smart data”. The smart data gives useful information so that programmers can make changes as needed. The smart data and big data are compared to fruit; always a comparison.
Overall highly recommend this book.

This book is essential for anybody creating a predictive analytics project. Not only does it help set up the project, it walks you through step by step the best ways to ensure success. Anasse Bari makes a complex topic simple enough to understand for even those without any prior experience. This is a must have for any young company, as it successfully combines statistics, business, and computer science in an intelligent manner, nearly guaranteeing business prosperity.

Reading this book was a real pleasure! As a Computer Science enthusiast I learned a lot of things about programs and Analytics that I know I will be able to use in my future work. I also liked how the book related computer programs to every day life. There are multiple examples of how a company, of any kind, uses Predictive Analytics in order to serve their customers more efficiently. Even companies that I use such as ITunes and the store, use programs mentioned in the book. In all a relatable and enjoyable read, I would definitely recommend the book to friends!

As a (relative) beginner at computer science, Predictive Analytics for Dummies does just what the title says - explaining fairly understandably the applications and importance of data, data mining, prediction, and probability in computer science and the real world. I enjoyed the illustrative examples which were good supplements to learning the basics of modeling data to suit your needs.

This was an excellent written book. It was super helpful and very easy to understand. The author did a wonderful job explaining algorithms that I have previously struggles with. I believe this book would be useful to all people working with predictive analytics.

This is a very well written and informative "for dummies" book covering an intricate topic. It is very helpful to those looking to strengthen and deepen their understanding of Predictive Analytics and is written in an easy to understand manner. I would definitely recommend adding this book to your library. The way it covers big data, data mining, and model analysis is very beneficial.

I do not have much experience with data mining and analysis, and this book did a great job of explaining new concepts to me. After reading this book, I understand much more about the process and structures that go into predictive analysis. This book does a great job of integrating data and computer science principles.

As a freshman Computer Science student, I was not very knowledgeable on predictive analytics. This book was a great introduction that made it quite simple to understand the basics. It is obvious that there was a lot of effort put into making each topic accessible and understandable.

This book provides some interesting examples of models within biology while also describing the impact of Predictive Analytics on a variety of industries. As someone who was new to this concept, this book did a great job working through each example in a step-by-step manner. By showing the results of each iteration, each model was made clearer.

Wow! I have always wondered why advertisements on my Facebook feed were different than the one's on my friends. Before reading this book I had no idea how businesses knew what advertisements to send my way. It's crazy to think that businesses follow the model outlined in the book to gear these ads towards me. This book does a great job in explaining the convoluted process businesses undergo to write algorithms that anticipate what consumers' next purchases would be.

It is a great starting place. I think it provides the elementary concepts necessary for those who are interested in Computer Science and particularly predictive analytics but don't know where to start. I also enjoy the layout and progression that the book provides. I am not all the way through yet but what I have read so far looks good. I have to reread a few things sometimes to get them, given the way they are presented, but overall helpful in gaining necessary information.

This book give a concise yet thorough overview of predictive data analytics and the processes which drive them. With larger piles of metadata accumulating on the internet to target individuals with a multitude of products, a look that this book will help programming adepts and the laymen alike to better understand the mechanisms which govern today's online world.

This book was a great introduction of the topic predictive language, and it ties together computer science with business and statistics very well. The visuals of the analytical results are extremely helpful to bring the ideas and concepts into an applicable perspective. The authors also go over the predictive analysis processes step-step by step in a manner that allows novices in this subject field grasp the ideas and algorithms. Overall great read.

This book has a whole section with case studies involving instances where businesses used big data to their advantage, which I found interesting. It's interesting how tweets may be used to make predictions in the stock market. It is a very informative and fascinating topic. It's a good beginners book (it is, after all, in the for dummies series) for people interested in big data and systems engineering topics.

This book was a good starting point to learn about predictive analytics! As a topic that is slowly coming out of the woodworks, it is helpful to have a book like this to educate me about it and to understant both the pros and cons about these systems. As a consumer it is eye-opening to read about the access online companies have in order to ensure customer knowledge. Good book to learn about this topic.

Predictive analytics is an interesting topic as companies everywhere are using tools in this field to assist them in making better business decisions for themselves. In this book Dr. Bari does an excellent job of breaking everything down and conveying real life examples to better explain each step of building a predictive model. The book is a very interesting read and I would highly recommend it.

I didn't really have any previous knowledge on this topic, but after reading this book, I learned a lot about it. I found this topic new and exciting, and it made me realize that I may want to look into this more in my future. I found the book really interesting and I would definitely recommend it to anyone that has some interest in computer science.

Interesting book! This book articulates how big data affects our life. The book reveals that how big companies, such as the store, Netflix, Target, use the data to analyze and predict our behavior! Although I'm not a science major student, I find this book easy understood! Thanks to this book, I would love to know more about this field of study!

This is a thorough, detailed, and easy-to-understand description of predictive analytics. The authors are clearly very knowledgeable about the material and excellent and explaining it simply to those unfamiliar with the subject.

I'm a freshman computer science student and I found this book extremely helpful. Not only is it informative on big data and data mining but I learned a lot about the business as well like making budgets and presentations. Everything I was looking for in a compsci book.

A solid introduction to a field that is, at essence, the future of computing. Perhaps best used as a jumping point for a dedicated reader to use as a reference of where modern technology stands/how to get involved.

As a data scientist in the finance field, this book provides a solid foundation for a lot of the concepts necessary in dealing with financial data. The examples are good and there are lots of great tips. Good for beginners as well. Only issue with the book is that it hasn't always been perfectly edited. I found a few typos and grammatical errors.

As someone with little knowledge of computer science, this book is a good introduction into the fascinating field of predictive analytics. While some of the "how-to" methods went a bit over my head, the book provided a good introduction into just what predictive analysis is.

I have to say I really enjoyed reading this book. This book is written by my professor for C-language and he is a very nice guy in classroom. After reading this book I understand predictive analytics generates scores for possible future outcomes based on statistical modeling of past data, enabling data-driven decision making in the face of uncertainty. And also an challenge in predictive analytics that is often overlooked is the issue of deployment. The analysts who develop the predictive models must work with different technical teams to implement their models into production applications across organizational boundaries. The programs are also usually rewritten for the target platforms, and they need to be tested for functional equivalency. I thought I could use those information on the future study very well.

This book was very helpful for people starting off in Predictive Analytics. I know this because I am one of those people. This book was clearly very well thought out and made aspects of Predictive Analytics a lot more clear. I am very proud I read this and recommend this book to anyone interested in this field. It was a nice, easy read.