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Data Science For Business 2019 2 Books In 1


Data Science For Business 2019 2 Books In 1
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Data Science For Business 2019 2 Books In 1


Data Science For Business 2019 2 Books In 1
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Author : Riley Adams
language : en
Publisher: This Is Charlotte.
Release Date : 2019-05-12

Data Science For Business 2019 2 Books In 1 written by Riley Adams and has been published by This Is Charlotte. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-12 with Computers categories.


★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 2019 2 Books In 1


Data Science For Business 2019 2 Books In 1
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Author : Matt Henderson
language : en
Publisher:
Release Date : 2019-04-07

Data Science For Business 2019 2 Books In 1 written by Matt Henderson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-07 with categories.


★☆★ This book includes 2 Manuscripts: Data Analytics for Businesses 2019 + Machine Learning for Beginners 2019.★☆★ 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. 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!



Cutting Edge Business Technologies In The Big Data Era


Cutting Edge Business Technologies In The Big Data Era
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Author : Saad G. Yaseen
language : en
Publisher: Springer Nature
Release Date : 2023-08-26

Cutting Edge Business Technologies In The Big Data Era written by Saad G. Yaseen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-26 with Computers categories.


This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value. Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence? Quo Vadis cutting-edge business technologies?



Cause And Effect Business Analytics And Data Science


Cause And Effect Business Analytics And Data Science
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Author : Dominique Haughton
language : en
Publisher: CRC Press
Release Date : 2025-07-15

Cause And Effect Business Analytics And Data Science written by Dominique Haughton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Business & Economics categories.


Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships. Establishing and measuring causality can be difficult. This book explains the most useful techniques for discerning causality and illustrates the principles with numerous examples from business. It discusses randomized experiments (aka A/B testing) and techniques such as propensity score matching, synthetic controls, double differences, and instrumental variables. There is a chapter on the powerful AI approach of Directed Acyclic Graphs (aka Bayesian Networks), another on structural equation models, and one on time-series techniques, including Granger causality. At the heart of the book are four chapters on uplift modeling, where the goal is to help firms determine how best to deploy their resources for marketing or other interventions. We start by modeling uplift, discuss the test-and-learn process, and provide an overview of the prescriptive analytics of uplift. The book is written in an accessible style and will be of interest to data analysts and strategists in business, to students and instructors of business and analytics who have a solid foundation in statistics, and to data scientists who recognize the need to take seriously the need for causality as an essential input into effective decision-making.



Data Analytics And Business Intelligence


Data Analytics And Business Intelligence
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Author : Vincent Charles
language : en
Publisher: CRC Press
Release Date : 2023-06-15

Data Analytics And Business Intelligence written by Vincent Charles and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Computers categories.


Business Analytics (BA) is an evolving phenomenon that showcases the increasing importance of using huge volumes of data to generate value for businesses. Advances in BA have offered great opportunities for organisations to improve, innovate, and develop existing or new processes, products, and services. BA is the process of transforming data into actionable insight by using statistical and mathematical analysis, descriptive, prescriptive, and predictive models, machine learning, information systems and network science methods, among others, along with a variety of data, expert knowledge, and fact-based management to support better and faster decision-making. BA and Business Intelligence (BI) generate capabilities for companies to compete in the market effectively and has become one of the main functional areas in most companies. BA tools are used in diverse ways, for example, to identify consumer behaviour patterns and market trends, to derive valuable insights on the performance of stocks, to find information on the attrition rate of employees, to analyse and solve healthcare problems, to offer insight into inventory management and supply chain management, to analyse data from social networks, and to infer traffic behaviour and develop traffic management policy, among others. BA and BI have become one of the most popular research areas in academic circles, as well as in the industry, driven by the increasing demand in the business world. This book aims to become a stimulus for innovative business solutions covering a wide range of aspects of business analytics, such as management science, information technology, descriptive, prescriptive, and predictive models, machine learning, network science, mathematical and statistical techniques. The book will encompass a valuable collection of chapters exploring and discussing computational frameworks, practices, and applications of BA that can assist industries and relevant stakeholders in decision-making and problem-solving exercises, with a view to driving competitive advantage.



Market Grooming


Market Grooming
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Author : Sumesh Dadwal
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-11-11

Market Grooming written by Sumesh Dadwal and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-11 with Business & Economics categories.


Establishing a paradigm shift in the field of marketing, this thought-provoking scholarly work examines how customers, markets, and communities are groomed, socially conditioned, subliminally marketed to, and influenced by the use of AI technologies.



Biomedical And Business Applications Using Artificial Neural Networks And Machine Learning


Biomedical And Business Applications Using Artificial Neural Networks And Machine Learning
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Author : Segall, Richard S.
language : en
Publisher: IGI Global
Release Date : 2022-01-07

Biomedical And Business Applications Using Artificial Neural Networks And Machine Learning written by Segall, Richard S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-07 with Computers categories.


During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.



Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics


Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics
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Author : Patil, Bhushan
language : en
Publisher: IGI Global
Release Date : 2020-10-23

Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics written by Patil, Bhushan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Computers categories.


Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.



Research Anthology On Big Data Analytics Architectures And Applications


Research Anthology On Big Data Analytics Architectures And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-09-24

Research Anthology On Big Data Analytics Architectures And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-24 with Computers categories.


Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.



It S All Analytics Part Ii


It S All Analytics Part Ii
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Author : Scott Burk
language : en
Publisher: CRC Press
Release Date : 2021-09-28

It S All Analytics Part Ii written by Scott Burk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Business & Economics categories.


Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It’s All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses ....... The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful, the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply, "culture – company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ..... Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses .... Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.