data science for business

EXCERPT:

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

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Product Details :

Genre : Computers
Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
Release : 2013-07-27
File : 414 Pages
ISBN-13 : 9781449374280

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EXCERPT:

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.

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Product Details :

Genre : Business & Economics
Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
Release : 2013-07-27
File : 414 Pages
ISBN-13 : 9781449374297

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Product Details :

Genre : Big data
Author : Foster Provost
Publisher :
Release : 2013
File : Pages
ISBN-13 : 1449374271

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EXCERPT:

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. Introduction to Business Intelligence 16. Data Visualization Tools 17. Industry Use Case 1 – FormAssist 18. Industry Use Case 2 – PeopleReporter 19. Data Science Learning Resources 20. Do It Your Self Challenges 21. MCQs for Assessments

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Product Details :

Genre : Computers
Author : Probyto Data Science and Consulting Pvt. Ltd.
Publisher : BPB Publications
Release : 2020-05-06
File : 368 Pages
ISBN-13 : 9789389423280

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EXCERPT:

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 to improve brand loyalty and customer experience. ✔︎ How to hire the best data scientist, and more. If you are overwhelmed by this whole new topic of data analytics, don't be. This guide is designed for beginners, with all the guidance you need to understand the fundamentals of harnessing data analytics for your business. So even if you have never heard about data analytics until today, I promise we will walk through this step- by-step. By the end of this, you'll be able to think analytically and make informed business decisions. This book illustrates how EASY it is to find success by just applying a few principles. So stop reading this description, and start reading Data Analytics for Businesses instead. Scroll up, and CLICK BUY now!

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Product Details :

Genre : Computers
Author : Riley Adams
Publisher : This Is Charlotte.
Release : 2019-04-05
File : 128 Pages
ISBN-13 : 1989632122

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EXCERPT:

★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.

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Product Details :

Genre : Computers
Author : Riley Adams
Publisher : This Is Charlotte.
Release : 2019-05-12
File : 290 Pages
ISBN-13 : 199917707X

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EXCERPT:

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

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Product Details :

Genre : Business & Economics
Author : Luiz Paulo Fávero
Publisher : Academic Press
Release : 2019-03-08
File : 1000 Pages
ISBN-13 : 0128112166

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EXCERPT:

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.

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Product Details :

Genre : Computers
Author : Bill Schmarzo
Publisher : John Wiley & Sons
Release : 2015-12-11
File : 312 Pages
ISBN-13 : 9781119238843

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EXCERPT:

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 visualizationFinally, 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 businesses using the vast array of data available online.

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Product Details :

Genre :
Author : William Vance
Publisher :
Release : 2020-03-20
File : 158 Pages
ISBN-13 : 9798628702093

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EXCERPT:

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.

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Product Details :

Genre : Business & Economics
Author : Matt Taddy
Publisher : McGraw Hill Professional
Release : 2019-08-23
File : 384 Pages
ISBN-13 : 9781260452785

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