eBook Download

BOOK 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.

Product Details :

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

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

★☆★ 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!

Product Details :

Genre:
Author: Matt Henderson
Publisher:
Release: 2019-04-07
File: 288 Pages
ISBN-13: 1092986545

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

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!

Product Details :

Genre:
Author: John Harper
Publisher:
Release: 2019-06-17
File: 170 Pages
ISBN-13: 1074535987

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK 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

Product Details :

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

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK 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

Product Details :

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

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

If you want to make yourself more competitive in your industry, master python programming, and machine learning, then Keep Reading... The truth is...In the modern world, data has become fundamental, and companies are finding new ways to use the insights provided by data to improve their bottom line and customer experience. This is sometimes a challenge. Choose to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them. The good news is that working with data science can help you learn more about your customers and your industry, with the use of Python, and give you the insights and predictions that you need to see some great improvements with your business. And that's what you'll learn in Data Science. DOWNLOAD: Data Science -- 2 Books in 1: Python Programming for Advanced & Data Science The goal of this book is simple: We will teach you the neat things that you can do with data science, so you can finally beat out the competition and increase your bottom line. You will learn: Why Data Science is so Important in our Fast-Paced World of Today 5 Practical Applications of Data Science How to Install Python on your Operating System Best Data Science Libraries to Use with Python 7 Main Benefits of Working with Python Proven Strategies to Get High-Quality Data Tips and Tricks to Get your Data Organized Why You Should Use Python for Data Analysis What Machine Learning is all About and How it Fit into your Data Science Projects Learning how data science works and how to complete your own data analysis in the process is going to be very important to the amount of success that you are going to see. Data Science: 2 Books in 1 is full of step-by-step exercises and hands-on projects that will help you become a Python expert. There is so much that we can do when it comes to using the Python language, especially when we are looking at combining it with machine learning and data analysis. Would You Like to Know More? Download Now to Master Python for Data Science! Scroll up and click "BUY NOW with 1-Click" to get your copy now!

Product Details :

Genre:
Author: John Russel
Publisher:
Release: 2019-12-10
File: 218 Pages
ISBN-13: 1673995950

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

This invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Product Details :

Genre: Computers
Author: Nina Zumel
Publisher: Manning Publications
Release: 2019-12-07
File: 483 Pages
ISBN-13: 1617295876

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK 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.

Product Details :

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

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

Together, Big Data, high-performance computing, and complex environments create unprecedented opportunities for organizations to generate game-changing insights that are based on hard data. Business Analytics: An Introduction explains how to use business analytics to sort through an ever-increasing amount of data and improve the decision-making capabilities of an organization. Covering the key areas of business analytics, the book explores the concepts, techniques, applications, and emerging trends that professionals across a wide range of industries need to be aware of. Better detection of fraud through visual analytics or better prediction of the likelihood of someone getting an infection while in the hospital are just a few examples of where analytics can play a positive role. As the field of business analytics continues to emerge rapidly, there is a need for a reliable textbook and reference on the subject. Filling this need, this book is suitable for graduate-level students and undergraduate seniors. It maintains a focus on only the key areas so the material can be covered adequately in a one-semester or one-quarter course. Each chapter includes software-generic exercises, labs, and associated answers to the exercises/labs. Author Jay Liebowitz recently had an article published in The World Financial Review. www.worldfinancialreview.com/?p=1904

Product Details :

Genre: Business & Economics
Author: Jay Liebowitz
Publisher: CRC Press
Release: 2013-12-19
File: 288 Pages
ISBN-13: 9781466596108

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>




eBook Download

BOOK EXCERPT:

This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.

Product Details :

Genre: Computers
Author: Martin Braschler
Publisher: Springer
Release: 2019-06-13
File: 465 Pages
ISBN-13: 9783030118211

#1 eBook Free in [pdf] [kindle] [epub] [tuebl] [mobi] [audiobook], #1 New Release 2020 >>