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Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Anal
PDF Ebook Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Anal
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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 science, 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, statistics, 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 quantum 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
- THE COST EFFECTIVENESS OF DATA ANALYTICS
- WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION
- DATA GATHERING
- DATA SCRUBBING
- DESCRIPTIVE ANALYTICS
- INFERENTIAL STATISTICS
- PREDICTIVE ANALYTICS
- PREDICTIVE MODELS
- DESCRIPTIVE MODELING
- DECISION MODELING
- PREDICTIVE ANALYSIS METHODS
- MACHINE LEARNING TECHNIQUES
- 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
- RESOURCES 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 DATA
- APPLYING SENTIMENT ANALYSIS
- RISK EVALUATION AND THE DATA SCIENTIST
- THE FINANCE INDUSTRY AND REAL-TIME ANALYTICS
- HOW BIG DATA IS BENEFICIAL TO THE CUSTOMER
- CUSTOMER SEGMENTATION IS GOOD FOR BUSINESS
- USE OF BIG DATA BENEFITS IN MARKETING
- GOOGLE TRENDS
- THE PROFILE OF A PERFECT CUSTOMER
- LEAD SCORING IN PREDICTIVE ANALYSIS
- EVALUATING THE WORTH OF LIFETIME VALUE
- BIG DATA ADVANTAGES AND DISADVANTAGES
- MAKING COMPARISONS WITH COMPETITORS
- DATA SCIENCE IN THE TRAVEL SECTOR
- SAFETY ENHANCEMENTS THANKS TO BIG DATA
- BIG DATA AND AGRICULTURE
- BIG DATA AND LAW ENFORCEMENT
- THE USE OF BIG DATA IN THE PUBLIC SECTOR
- BIG DATA AND GAMING
- PRESCRIPTIVE ANALYTICS
- GOOGLE’S “SELF-DRIVING CAR”
- AND MUCH MORE!
- Sales Rank: #63668 in Books
- Published on: 2017-03-10
- Original language: English
- Dimensions: 9.00" h x .64" w x 6.00" l,
- Binding: Paperback
- 280 pages
Most helpful customer reviews
2 of 2 people found the following review helpful.
Data science is the most important field of our generation
By Alkes Quick
I am not a data scientist or involved in that field in anyway. Big data however is a huge part of the world and it is only getting more important as systems become automated and rely every more on collecting and analyzing large sets of data.
I was worried this book might be above my head given that I have no background in data science, or that it would be so dry and academic that it would put me to sleep. I am happy to say that the book was none of hose things.
This is a really, really interesting read regardless of your background. The author describes not only the current state of data science, but where it is rapidly headed in the future. Most importantly, everything in the book is grounded in the real world applications of big data that are all around us.
This is an interesting, enjoyable, and enlightening read.
4 of 4 people found the following review helpful.
Very detailed and very helpful for me.
By Hailey Foster
This is an instructive book for everybody. Through this you will get leverage on the power of data analytics, data science, and predictive analytics even for beginners.Here the data is categorized properly and systematically so that you would understand the book and its deepest meanings. This book is very helpful for me since I've learned a lot about Data Analytics. I am so happy that I bought this book.
2 of 2 people found the following review helpful.
Explains difficult concepts clearly
By Amazon Customer
I bought this book hoping it could help me to understand a bit more about algorithms and machine learning for a college course on data science. I was not disappointed. This book lays out difficult concepts clearly but without getting too basic or talking down to the reader. It was actually much more helpful than the course textbook in terms of both its clarity and its breadth.
I think that regardless of the level you are at in your understanding of data science, this book can help you. I'd recommend it to students, professionals, and casual enthusiasts. An easy five stars.
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