Data Science for Business Book PDF

Data Science for Business

  • Author : Foster Provost
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27
  • Genre : Computers
  • Pages : 414
  • ISBN : 9781449374280

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Data Science for Business Book Description :

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces 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. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Data Science for Business Professionals Book PDF

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 : 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 Science for Business and Decision Making Book PDF

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 : 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 Science for Business With R Book PDF

Data Science for Business With R

  • Author : Jeffrey S. Saltz
  • Publisher : SAGE Publications
  • Release Date : 2021-02-14
  • Genre : Business & Economics
  • Pages : 424
  • ISBN : 9781544370460

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Data Science for Business With R Book Description :

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field.

Data Science for Business 2019  2 BOOKS IN 1  Book PDF

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 : 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 Book PDF

DATA SCIENCE

  • Author : William Vance
  • Publisher : joiningthedotstv
  • Release Date :
  • Genre : Computers
  • Pages : 95
  • ISBN : 9876543210XXX

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DATA SCIENCE Book Description :

Discover advanced methods and strategies to learn data science for business. When the concept ‘data science’ was incorporated into some basic business decision processes, it was, at some point, neglected. But with the recent technological advancement, this method of analytics can no longer be neglected in the various decision-making process of a business. Yet, a lot of business owners are unaware of the ubiquity of data opportunities in business The book introduces various methods and strategies that are essential to facilitate your learning path into data science and how it can be used for business decisions and organizational growth. In simple terms, it provides real-world situations that can be used to explain the pervasiveness of data opportunities in business. Hence, as a business owner, you can learn how to participate smartly on your data science project even without the help of a data scientist. You will also discover advanced methods and strategies on how to think analytically while using various data mining strategies to collate data for your analysis. In this book, you will learn how to wrangle, program, explore data sets, model your data, and how to communicate business decisions and findings using data visualization techniques. While this book is a comprehensive guide on various method methods and strategies to learn data science for business, it doesn’t include the general basic knowledge of data science. Hence, the following are some of the things you should expect: · The pervasiveness of data opportunities · The overall process of business decisions and how data science is useful during this process · Various analytical approaches to business · Programming languages · And data visualization Finally, the opportunities that big data provides are vast; let this book help you harness those opportunities. Now is the time to start collating essential information, making rational predictions, and gaining a competitive advantage over other busines

Data Science for Business Book PDF

Data Science for Business

  • Author : Herbert Jones
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2018-09-26
  • Genre : Uncategorized
  • Pages : 100
  • ISBN : 1727618572

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Data Science for Business Book Description :

Do you want to learn about data science but aren't in the mood to read a boring textbook? Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. And it is all done by collecting and sorting through a large amount of information, so you have the right sources behind you when you make a major decision. In this guidebook, you will discover more about data science and how to get started in this field. This book will discuss the following topics: What is data science? How Big Data works and why it is so important How to do an explorative data analysis Working with data mining How to mine text to get the data Some amazing machine learning algorithms to help with data science How to do data modeling Data visualization How to use data science to help your business grow Tips to help you get started with data science And much, much more! So if you are ready to get started with data science, click "add to cart"!

Data Science for Business Book PDF

Data Science for Business

  • Author : William Jayden
  • Publisher : Unknown
  • Release Date : 2017-06-03
  • Genre : Uncategorized
  • Pages : 396
  • ISBN : 1547265612

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Data Science for Business Book Description :

Data Science for Business introduces 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. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.

Data Science for Business Book PDF

Data Science for Business

  • Author : Charles Jensen
  • Publisher : Independently Published
  • Release Date : 2017-07-12
  • Genre : Uncategorized
  • Pages : 51
  • ISBN : 1980292841

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Data Science for Business Book Description :

Basic data science explained Explore the field of data science, and the way to analyze big and small data. This technical book goes over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about: Modeling data and visualization. The three V's of big data and what to do with them. Software recommendations and applications. Machine algorithms and interesting side notes regarding them. Rules, infrastructure, adaptation, and other techniques. Perception and cognition basics that apply to data. Efficient uses of regression, database querying, machine learning, and data warehousing. Curious yet? Then don't wait and start reading, so you don't have to remain in the dark. Save yourself the time and learn from what worked for me. I will see you in the first chapter!

Business Intelligence Book PDF

Business Intelligence

  • Author : Ramesh Sharda
  • Publisher : Pearson
  • Release Date : 2017-01-13
  • Genre : Business & Economics
  • Pages : 512
  • ISBN : 0134633288

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Business Intelligence Book Description :

For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.

Analytics Book PDF

Analytics

  • Author : Daniel Covington
  • Publisher : Lulu.com
  • Release Date : 2019-08-13
  • Genre : Business & Economics
  • Pages : 288
  • ISBN : 0359828523

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Analytics Book Description :

SO MANY PEOPLE DREAM OF BECOMING THEIR OWN BOSS OR SUCCEEDING IN THEIR CHOSEN PROFESSION, AND WITH THE RESOURCES AVAILABLE TODAY, MORE ENTREPRENEURS AND PROFESSIONALS ARE ACHIEVING GREAT SUCCESS! HOWEVER, SUCCESS SHOULD BE DEFINED FOR THE LONG TERM, AND AS OPPORTUNITIES START TO GROW, SO DOES THE COMPETITION. Getting your business up and running or starting on your career path is one thing, but have a sustainable business or career is completely another. Many people make the mistake of making plans but having no follow-through. This is where analytics comes in. DonÕt you wish to have the power to know what your target consumers are thinking? WonÕt you want to have a preview of what future trends to expect in the market you are in? Well, this book is just the one you need. This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.

Data Analytics for Businesses 2019 Book PDF

Data Analytics for Businesses 2019

  • Author : Riley Adams
  • Publisher : Independently Published
  • Release Date : 2019-04-05
  • Genre : Uncategorized
  • Pages : 154
  • ISBN : 1092793380

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Data Analytics for Businesses 2019 Book Description :

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 maximise YOUR business. Yes, you have customers that love your product. However, you're having trouble finding new customers and captivating their attention. You realized you're also losing customers, and you have no clue what you can do to prevent this from happening. How do I stand out in a crowd of businesses? How do I target my perfect client and make them choose ME? If this sounds like you, Data Analytics for Businesses if the guide you need. This book will walk you through the fundamental principles of data science and how to apply the "data analytic mindset" when approaching your business. You will learn how to extract valuable insights from data sources you ALREADY HAVE, and make informed business decisions to help you achieve your goals. With real-world examples of how to apply data analytics to your business, this book does what others fail to do. Break the process down step by step, so you can optimize unique parts of your business; such as improving customer loyalty or reducing churn. This guide also helps you understand the many data-mining techniques in use today. Discover the value of applied data science for business decision-making. You'll learn how to think data-analytically, and make connections between data sources to unveil insights you've never imagined. In this book you will learn: ✔︎ Why every company should be leveraging Data Analytics ✔︎ The difference between Big Data, Data Science and Data Analytics. ✔︎ How to achieve your goals by applying data-analytical thinking to your business ✔︎ The recommended data mining techniques for each of your business goals. ✔︎ The most important thing to remember when extracting knowledge from your data. ✔︎ How to use data analytics

Data Science Book PDF

Data Science

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

The Decision Maker s Handbook to Data Science Book PDF

The Decision Maker s Handbook to Data Science

  • Author : Stylianos Kampakis
  • Publisher : Apress
  • Release Date : 2019-11-26
  • Genre : Computers
  • Pages : 156
  • ISBN : 9781484254943

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The Decision Maker s Handbook to Data Science Book Description :

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook to Data Science, you will learn how to think like a veteran data scientist and approach solutions to business problems in an entirely new way. Author Stylianos Kampakis provides you with the expertise and tools required to develop a solid data strategy that is continuously effective. Ethics and legal issues surrounding data collection and algorithmic bias are some common pitfalls that Kampakis helps you avoid, while guiding you on the path to build a thriving data science culture at your organization. This updated and revised second edition, includes plenty of case studies, tools for project assessment, and expanded content for hiring and managing data scientists Data science is a language that everyone at a modern company should understand across departments. Friction in communication arises most often when management does not connect with what a data scientist is doing or how impactful data collection and storage can be for their organization. The Decision Maker’s Handbook to Data Science bridges this gap and readies you for both the present and future of your workplace in this engaging, comprehensive guide. What You Will Learn Understand how data science can be used within your business. Recognize the differences between AI, machine learning, and statistics. Become skilled at thinking like a data scientist, without being one. Discover how to hire and manage data scientist

Data Science For Dummies Book PDF

Data Science For Dummies

  • Author : Lillian Pierson
  • Publisher : John Wiley & Sons
  • Release Date : 2017-02-21
  • Genre : Computers
  • Pages : 384
  • ISBN : 9781119327646

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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.

Data Science for Librarians Book PDF

Data Science for Librarians

  • Author : Yunfei Du
  • Publisher : ABC-CLIO
  • Release Date : 2020-03-26
  • Genre : Language Arts & Disciplines
  • Pages : 160
  • ISBN : 9781440871221

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Data Science for Librarians Book Description :

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Skills such as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design. Reviews fundamental concepts and principles of data science Offers a practical overview of tools and software Highlights skills and services needed in the 21st-century academic library Covers the entire research data life cycle and the librarian's role at each stage Provides insight into how library science and data science intersect

Business Analytics for Managers Book PDF

Business Analytics for Managers

  • Author : Wolfgang Jank
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-09-08
  • Genre : Business & Economics
  • Pages : 189
  • ISBN : 1461404061

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Business Analytics for Managers Book Description :

The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making. Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available. The main goals of this book are as follows: to excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes and provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.