Big Data MBA: Driving Business Strategies with Data Science

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Wiley #ad - This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Business stakeholders no longer need to relinquish control of data and analytics to IT. 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.

You'll learn how to exploit new sources of customer, to optimize key processes, coupled with advanced analytics and data science, and operational data, product, uncover monetization opportunities, and create new sources of competitive differentiation. Big data mba shows you how to implement big data and analytics to make better decisions.

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. In fact, they must champion the organization's data collection and analysis efforts.

Big Data MBA: Driving Business Strategies with Data Science #ad - 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. 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.

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Big Data: Understanding How Data Powers Big Business

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Wiley #ad - Don't miss his invaluable insights and advice. Big data: understanding how data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, and hands-on exercises, this book explores the technologies involved, real-world examples, as well as how to find areas of the organization that can take full advantage of big data.

. Armed with the insights from big data, add value, companies can improve customer experience and products, and increase return on investment. Leverage big data to add value to your business Social media analytics, web-tracking, products, competition, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, and markets.

Big Data: Understanding How Data Powers Big Business #ad - The tricky part for busy it professionals and executives is how to get this done, and that's where this practical book comes in. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, education challenges, including organizational structures, William Schmarzo.

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Negotiating Rationally

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Free Press #ad - They identify strategies to avoid these pitfalls in negotiating by concentrating on opponents’ behavior and developing the ability to recognize individual limitations and biases. A must read for business professionals. Drawing on their research, the authors show how we are prisoners of our own assumptions.

In negotiating rationally, max Bazerman and Margaret Neale explain how to avoid the pitfalls of irrationality and gain the upper hand in negotiations. For example, to recklessly escalate previous commitments, managers tend to be overconfident, and fail to consider the tactics of the other party. They explain how to think rationally about the choice of reaching an agreement versus reaching an impasse.

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Data Smart: Using Data Science to Transform Information into Insight

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Wiley #ad - Data science is little more than using straight-forward steps to process raw data into actionable insight. Data science gets thrown around in the press like it's magic. Each chapter will cover a different technique in a spreadsheet so you can follow along: mathematical optimization, and graph modularity Data mining in graphs, spherical k-means, and bag-of-words models Forecasting, ensemble models, including non-linear programming and genetic algorithms Clustering via k-means, such as outlier detection Supervised AI through logistic regression, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique.

. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope. But never fear, the topics are readily applicable and the author laces humor throughout.

Data Smart: Using Data Science to Transform Information into Insight #ad - You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype.

But don't let the Excel sheets fool you.

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Modeling Projected or Forecasted Financial Statements Without a Plug! Concepts Simplified

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#ad - It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors.

The reader is not expected to be an expert in Microsoft Excel or Google sheets but has to be reasonably familiar with Microsoft Excel. Data science gets thrown around in the press like it's magic. This book will teach you how to build a simple 3 statement financial model. Different company’s financial statements may have different account names and lines but the overall structure of a financial statement will be quite similar.

Once you can confidently build a simple 3 statement financial model, you can add many bells and whistles to reflect the numerous specifics of any projected 3 statement financial model. Modeling projected or forecasted financial statements without a plug - Simplified is based on Senith Mathews’ experience tutoring students and executives in financial modeling over 10 years and building models as a management consultant with Arthur Andersen and Mercer Management Consulting now Oliver Wyman.

Modeling Projected or Forecasted Financial Statements Without a Plug! Concepts Simplified #ad - It does not go into the underlying accounting concepts or rules. Modeling projected or forecasted financial statements without a plug - Simplified is for MBA, CFA or undergraduate finance students interested in understanding how to forecast or project financial statements into the future in Microsoft Excel or Google Sheets.

Modeling projected or forecasted financial Statements without a plug - Simplified narrowly focusses on teaching readers how to build a 3 statement financial model in a spreadsheet.

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Managerial Accounting

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Pearson #ad - Managerial accounting taught through real-world business application Managerial Accounting helps readers see how managerial accounting concepts are used in business to make decisions. Also available with mylab accounting myLab™ Accounting is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results.

With new problems, and applications in the 5th Edition, cases, readers receive the most up-to-date information and practice opportunities to prepare them for their future careers in accounting. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them better absorb course material and understand difficult concepts.

Managerial Accounting #ad - Instructors, contact your Pearson representative for more information. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope.

Students, if interested in purchasing this title with MyLab Accounting, ask your instructor for the correct package ISBN and Course ID. If you would like to purchase both the physical text and mylab accounting, search for:   0134641809 / 9780134128528 managerial accounting 0134161645 / 9780134641805 managerial accounting plus mylab Accounting with Pearson eText -- Access Card Package   Package consists of: 0134128524 / 9780134161648 MyLab Accounting with Pearson eText -- Access Card -- for Managerial Accounting   Data science gets thrown around in the press like it's magic.

By presenting actual accounting decisions made in companies like Target and Macy’s, the text’s precise coverage of the core concepts better engages readers in the content.

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Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things

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Kogan Page #ad - Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. Less than 05 per cent of all data is currently analyzed and used. Explaining how to identify your strategic data needs, how to translate your data into organizational insights for improved business decision-making and performance, most importantly, what methods to use to collect the data and, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.

Packed with case studies and real-world examples, data strategy will equip any organization with the tools and strategies it needs to profit from big data, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, analytics and the Internet of Things.

Data science gets thrown around in the press like it's magic. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope.

Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things #ad - Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Bernard marr's data Strategy is a must-have guide to creating a robust data strategy.

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Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets Incerto Book 1

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Random House #ad - Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill–the world of trading–Fooled by Randomness provides captivating insight into one of the least understood factors in all our lives. Are we capable of distinguishing the fortunate charlatan from the genuine visionary? Must we always try to uncover nonexistent messages in random events? It may be impossible to guard ourselves against the vagaries of the goddess Fortuna, but after reading Fooled by Randomness we can be a little better prepared.

Nassim nicholas taleb–veteran trader, renowned risk expert, polymathic scholar, erudite raconteur, and New York Times bestselling author of The Black Swan–has written a modern classic that turns on its head what we believe about luck and skill. The other books in the series are the Black Swan, Skin in the Game, Antifragile,  and The Bed of Procrustes.

Fooled by randomness is the word-of-mouth sensation that will change the way you think about business and the world. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope.

Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets Incerto Book 1 #ad - Fooled by randomness is a standalone book in nassim Nicholas Taleb’s landmark Incerto series, luck, human error, probability, uncertainty, risk, an investigation of opacity, and decision-making in a world we don’t understand. Writing in an entertaining narrative style, the author tackles major intellectual issues related to the underestimation of the influence of happenstance on our lives.

But no one can replicate what is obtained by chance.

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Business Analytics: The Art of Modeling With Spreadsheets, 5th Edition

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Wiley #ad - It can be used in any number of courses or departments where modeling is a key skill. Data science gets thrown around in the press like it's magic. The briefness & accessibility of this title offers opportunities to integrate other materials -such as cases -into the course. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.

But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. In this book, management science, the authors cover spreadsheet engineering, and the modeling craft.

Business Analytics: The Art of Modeling With Spreadsheets, 5th Edition #ad - Now in its fifth edition, powell and baker’s business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling.

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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

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O'Reilly Media #ad - Learn how to use R to turn raw data into insight, knowledge, and understanding. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to:wrangle—transform your datasets into a form convenient for analysisprogram—learn powerful R tools for solving data problems with greater clarity and easeExplore—examine your data, generate hypotheses, and quickly test themModel—provide a low-dimensional summary that captures true "signals" in your datasetCommunicate—learn R Markdown for integrating prose, code, and results Data science gets thrown around in the press like it's magic.

It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data #ad - . Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors hadley wickham and garrett Grolemund guide you through the steps of importing, exploring, wrangling, and modeling your data and communicating the results.

You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. This book introduces you to r, rstudio, fluent, and the tidyverse, a collection of R packages designed to work together to make data science fast, and fun.

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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

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O'Reilly Media #ad - Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. 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.

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. 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.

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking #ad - . It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist, " to extract this gold from your data? Nope. 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 advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates Data science gets thrown around in the press like it's magic.

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