Data Science for Business Book
Score: 3.5
From 10 Ratings

Data Science for Business


  • Author : Foster Provost
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27
  • Genre: Business & Economics
  • Pages : 414
  • ISBN 10 : 9781449374297

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Data Science for Business Book Description :

Annotation This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data-mining techniques in use today. More importantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques.

Data Science for Business 2019  2 BOOKS IN 1  Book

Data Science for Business 2019 2 BOOKS IN 1


  • Author : Riley Adams
  • Publisher : This Is Charlotte.
  • Release Date : 2019-05-12
  • Genre: Computers
  • Pages : 290
  • ISBN 10 : 199917707X

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Data Science for Business 2019 2 BOOKS IN 1 Book Description :

★This book includes 2 Manuscripts★ Are you looking for new ways to grow your business, with resources you already have? Do you want to know how the big players like Netflix, Amazon, or Shopify use data analytics to MULTIPLY their growth? Keep listening to learn how to use data analytics to maximize YOUR business.

Data Science for Business Professionals Book

Data Science for Business Professionals


  • Author : Probyto Data Science and Consulting Pvt. Ltd.
  • Publisher : BPB Publications
  • Release Date : 2020-05-06
  • Genre: Computers
  • Pages : 368
  • ISBN 10 : 9789389423280

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Data Science for Business Professionals Book Description :

Primer into the multidisciplinary world of Data Science KEY FEATURES - Explore and use the key concepts of Statistics required to solve data science problems - Use Docker, Jenkins, and Git for Continuous Development and Continuous Integration of your web app - Learn how to build Data Science solutions with GCP and AWS DESCRIPTION The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. The book will pose questions to the learners to solve the problems and build the problem-solving aptitude and effectively learn. The book uses Mathematics wherever necessary and will show you how it is implemented using Python with the help of an example dataset. WHAT WILL YOU LEARN - Understand the multi-disciplinary nature of Data Science - Get familiar with the key concepts in Mathematics and Statistics - Explore a few key ML algorithms and their use cases - Learn how to implement the basics of Data Pipelines - Get an overview of Cloud Computing & DevOps - Learn how to create visualizations using Tableau WHO THIS BOOK IS FOR This book is ideal for Data Science enthusiasts who want to explore various aspects of Data Science. Useful for Academicians, Business owners, and Researchers for a quick reference on industrial practices in Data Science. TABLE OF CONTENTS 1. Data Science in Practice 2. Mathematics Essentials 3. Statistics Essentials 4. Exploratory Data Analysis 5. Data preprocessing 6. Feature Engineering 7. Machine learning algorithms 8. Productionizing ML models 9. Data Flows in Enterprises 10. Introduction to Databases 11. Introduction to Big Data 12. DevOps for Data Science 13. Introduction to Cloud Computing 14. Deploy Model to Cloud 15

Data Analytics Book

Data Analytics


  • Author : John Harper
  • Publisher :
  • Release Date : 2019-06-17
  • Genre:
  • Pages : 170
  • ISBN 10 : 1074535987

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Data Analytics Book Description :

Data Analytics: 3 Books in 1 - The New Ultimate Bible for Understanding & Using Data Analytics, Big Data + Data Science For Business + Data MiningIn this 3 Book Bible we will discuss everything you will need to know to start understanding the world of Data Analytics, Big Data and Data Science For BusinessThere are plenty of books on this subject on the market, thanks again for choosing thisone! Every effort was made to ensure it is full of as much useful information as possible.Please enjoy! Here Is A Preview Of What You'll Learn...In Book 1: Data Analytics: The New Ultimate Guide To Understanding & Using Data Analytics, Data Mining, Big DataData Analytics UtilizationTypes of AnalyticsTechniques Applied in Data AnalyticsIntegrating Business and Data AnalyticsIn Book 2: Data Science For Business: How To Use Data Analytics and Data Mining in Business, Big Data For BusinessHow to Undertake Data ScienceVisualizing the DataApplication of Big Data in Data ScienceHow to Use Data Science AppropriatelyIn Book 3: Data Mining: The Complete Beginner's Guide - Discover How To Use Data Mining in Business, Data AnalyticsAssociation Rule MiningGenetic AlgorithmMachine LearningRegression AnalysisAnd Much Much More..Get Your Copy Right Now!

Data Science Book

Data Science


  • Author : Herbert Jones
  • Publisher :
  • Release Date : 2020-01-03
  • Genre: Computers
  • Pages : 134
  • ISBN 10 : 1647483042

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Data Science Book Description :

2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database Querying

A Hands On Introduction to Data Science Book
Score: 1
From 1 Ratings

A Hands On Introduction to Data Science


  • Author : Chirag Shah
  • Publisher : Cambridge University Press
  • Release Date : 2020-04-02
  • Genre: Business & Economics
  • Pages : 400
  • ISBN 10 : 9781108472449

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A Hands On Introduction to Data Science Book Description :

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

Data Science for Business and Decision Making Book
Score: 5
From 2 Ratings

Data Science for Business and Decision Making


  • Author : Luiz Paulo Fávero
  • Publisher : Academic Press
  • Release Date : 2019-03-08
  • Genre: Business & Economics
  • Pages : 1000
  • ISBN 10 : 0128112166

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Data Science for Business and Decision Making Book Description :

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Big Data MBA Book
Score: 4
From 1 Ratings

Big Data MBA


  • Author : Bill Schmarzo
  • Publisher : John Wiley & Sons
  • Release Date : 2015-12-11
  • Genre: Computers
  • Pages : 312
  • ISBN 10 : 9781119238843

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Big Data MBA Book Description :

Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Data Science for Business and Decision Making Book

Data Science for Business and Decision Making


  • Author : Luiz Paulo Fávero
  • Publisher : Academic Press
  • Release Date : 2019-04-11
  • Genre: Business & Economics
  • Pages : 1240
  • ISBN 10 : 9780128112175

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Data Science for Business and Decision Making Book Description :

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Data Analytics and Python Programming  Beginners Guide to Learn Data Analytics  Predictive Analytics and Data Science with Python Programming Book

Data Analytics and Python Programming Beginners Guide to Learn Data Analytics Predictive Analytics and Data Science with Python Programming


  • Author : Isaac D. Cody
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-12-28
  • Genre:
  • Pages : 264
  • ISBN 10 : 1541334574

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Data Analytics and Python Programming Beginners Guide to Learn Data Analytics Predictive Analytics and Data Science with Python Programming Book Description :

This is a 2 book bundle related to data analytics and learning Python Programming from scratch! Two manuscripts for the price of one! What's included in this 2 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners Hacking University: Junior Edition Learn Python Computer Programming from Scratch. Become a Python Zero to Hero. The Ultimate Beginners Guide in Mastering the Python Language In Data Analytics, you will learn: Why your business should be using data analytics Issues with using big data Effective data management Examples of data management in the real-world The different kinds of data analytics and their definitions How data management, data mining, data integration and data warehousing work together A step-by-step guide for conducting data analysis for your business An organizational guide to data analytics Tools for data visualization (with hyperlinks) In Hacking University Junior Edition, you will learn: The history of Python Language The benefits of learning Python and the job market outlook when learning Python Setting Up a Development Environment Variables, Variable Types, Inputs, String Formatting, Decision Structures, Conditional Operators, Loops Several Programming Examples to make sure you practice what you learn String Formatting and Programming Concepts Classes, Special Methods, and Inheritance Key Modules, and Common Errors And a WHOLE lot more! Get your copy today! Scroll up and hit the buy button to download now!

Data Science and Big Data Analytics Book

Data Science and Big Data Analytics


  • Author : EMC Education Services
  • Publisher : John Wiley & Sons
  • Release Date : 2015-01-05
  • Genre: Computers
  • Pages : 432
  • ISBN 10 : 9781118876053

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Data Science and Big Data Analytics Book Description :

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Corresponding data sets are available at www.wiley.com/go/9781118876138. Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Hands On Data Science for Marketing Book

Hands On Data Science for Marketing


  • Author : Yoon Hyup Hwang
  • Publisher :
  • Release Date : 2019-03-29
  • Genre: Computers
  • Pages : 464
  • ISBN 10 : 1789346347

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Hands On Data Science for Marketing Book Description :

Optimize your marketing strategies through analytics and machine learning Key Features Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability Book Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learn Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Lea

Data Science and Digital Business Book

Data Science and Digital Business


  • Author : Fausto Pedro García Márquez
  • Publisher : Springer
  • Release Date : 2019-01-04
  • Genre: Business & Economics
  • Pages : 316
  • ISBN 10 : 9783319956510

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Data Science and Digital Business Book Description :

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.

Recent Developments in Data Science and Business Analytics Book

Recent Developments in Data Science and Business Analytics


  • Author : Madjid Tavana
  • Publisher : Springer
  • Release Date : 2018-03-27
  • Genre: Business & Economics
  • Pages : 505
  • ISBN 10 : 9783319727455

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Recent Developments in Data Science and Business Analytics Book Description :

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data science and business analytics is emerging at the intersection of the fields of mathematics, statistics, operations research, information systems, computer science and engineering. Data science and business analytics is an interdisciplinary field about processes and systems to extract knowledge or insights from data. Data science and business analytics employ techniques and theories drawn from many fields including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition, visualization, descriptive analytics, predictive analytics, prescriptive analytics, uncertainty modeling, big data, data warehousing, data compression, computer programming, business intelligence, computational intelligence, and high performance computing among others. The volume contains 55 contributions from diverse areas of Data Science and Business Analytics, which has been categorized into five sections, namely: i) Marketing and Supply Chain Analytics; ii) Logistics and Operations Analytics; iii) Financial Analytics. iv) Predictive Modeling and Data Analytics; v) Communications and Information Systems Analytics. The readers shall not only receive the theoretical knowledge about this upcoming area but also cutting edge applications of this domains.

Doing Data Science Book

Doing Data Science


  • Author : Cathy O'Neil
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-10-09
  • Genre: Computers
  • Pages : 408
  • ISBN 10 : 9781449363895

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Doing Data Science Book Description :

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

Data Science from Scratch Book
Score: 3.5
From 4 Ratings

Data Science from Scratch


  • Author : Joel Grus
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2015-04-14
  • Genre: Computers
  • Pages : 330
  • ISBN 10 : 9781491904404

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Data Science from Scratch Book Description :

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Getting Started with Data Science Book

Getting Started with Data Science


  • Author : Murtaza Haider
  • Publisher : IBM Press
  • Release Date : 2015-12-14
  • Genre: Business & Economics
  • Pages : 400
  • ISBN 10 : 9780133991239

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Getting Started with Data Science Book Description :

Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing

Business Data Science  Combining Machine Learning and Economics to Optimize  Automate  and Accelerate Business Decisions Book
Score: 5
From 1 Ratings

Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions


  • Author : Matt Taddy
  • Publisher : McGraw Hill Professional
  • Release Date : 2019-08-23
  • Genre: Business & Economics
  • Pages : 384
  • ISBN 10 : 9781260452785

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Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions Book Description :

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling•Understand how use ML tools in real world business problems, where causation matters more that correlation•Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.

Data Science For Dummies Book

Data Science For Dummies


  • Author : Lillian Pierson
  • Publisher : John Wiley & Sons
  • Release Date : 2017-03-06
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9781119327639

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Data Science For Dummies Book Description :

Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Big Data for Business Book

Big Data for Business


  • Author : Victor Finch
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-08-10
  • Genre:
  • Pages : 130
  • ISBN 10 : 1973957663

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Big Data for Business Book Description :

Big Data For Business Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. Is Big Data worth it? Does it work for me or my business? How can Big Data (with Analytics) help spur my next business growth? Do you know that last two years accounts for 90 percent of the data in the world? Data whispers stories. Only if you listen carefully, process it, analyze it and act on it, to move towards your next revolution. Many individuals' life and businesses have been transformed by Big Data and in fact you are already part of the Big Data if you are into social media. (Look out for this very interesting link that you really need to see it for yourself. It will widen your horizon.) In this book, you will have gain tremendous insights, understanding and basics of Big Data and how it can helps to identify new growth areas and product opportunities, streamline their costs, increase their operating margins and above all; make better human resource decisions using efficient budgets. The future belongs to only those who embrace Big Data. Take your first step now. What you will learn in Big Data For Business: Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. You will learn all about Big Data and the challenges You will learn when to use Descriptive or Predictive Analytics You will discover what are the popular tools that Data scientists are using now You will learn the various algorithms used in Big Data You will what is Big Data and NoSQL Technologies You will explore the different social examples and business applications of Big Data And many more.. This Big Data For Business: Your Comprehensive Guide To Understand Data Science, Data Analytics and Data Mining To Boost More Growth and Improve Business. is your must have guide to explore and learn about the impact of Big Data For Business, and understand how you can starts forming ideas