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Embrace data and use it to sell and market your products Data is everywhere and it keeps growing and accumulating. Companies need to embrace big data and make it work harder to help them sell and market their products. Successful data analysis can help marketing professionals spot sales trends, develop smarter marketing campaigns, and accurately predict customer loyalty. Data Driven Marketing For Dummies helps companies use all the data at their disposal to make current customers more satisfied, reach new customers, and sell to their most important customer segments more efficiently. Identifying the common characteristics of customers who buy the same products from your company (or who might be likely to leave you) Tips on using data to predict customer purchasing behavior based on past performance Using customer data and marketing analytics to predict when customers will purchase certain items Information on how data collected can help with merchandise planning Breaking down customers into segments for easier market targeting Building a 360 degree view of a customer base Data Driven Marketing For Dummies assists marketing professionals at all levels of business in accelerating sales through analytical insights.

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The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full fledged framework for Monte Carlo simulation based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

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Hardcover. Expand your enterprise into new regions using systems engineering and data analysis In Data Driven Decisions: Systems Engineering to Understand Corporate Valuation and Intangible Assets, investment banker, systems engineer, and Cornell University lecturer Joshua Michael Jahani delivers an incisive and unique unveiling of how to use the tools of systems engineering to value your organization, its intangible assets, and how to gauge or prepare its readiness for an overseas or cross-border expansion. In the book, youll learn to implement a wide range of systems engineering tools, including context diagrams, decision matrices, Goal-Question-Metric analyses, and more. Youll also discover the following: How to communicate corporate value measurements and their impact to owners, executives, and investors. Explorations of the relevant topics when considering an international expansion, including macroeconomics, joint ventures, market entry, corporate valuations, mergers and acquisitions, and company culture.A comprehensive framework and methodology for examining available global regions in your search for the perfect expansion target.A deep understanding of specific sectors in which intangible assets have a particular impact, including branded consumer products, ad-tech, and healthcare.A must-have resource for business owners, managers, executives, directors, and other corporate leaders, Data-Driven Decisions will also prove invaluable to consultants and other professionals who serve companies considering expansion or growth into new regions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local.In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States―Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow―Loukissas shows us how to analyze data settings rather than data sets.Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the “myth of digital universalism,” Loukissas reminds us of the meaning-making power of the local.

One of the "six best books for data geeks" - Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. With this book and its extensive collection of online support, readers can: - Decide what visualisations work best for their data and their audience using the chart gallery - See data visualisation in action and learn the tools to try it themselves - Follow online checklists, tutorials, and exercises to build skills and confidence - Get advice from the UK’s leading data visualisation trainer on everything from getting started to honing the craft. Explore more resources about data visualisation and Andy Kirk.

Data-Driven Seo with Python: Solve Seo Challenges with Data Science Using Python 2.29

Most companies are using inefficient computer security defenses which allow hackers to break in at will. It's so bad that most companies have to assume that it is already or can easily be breached. It doesn't have to be this way! A data-driven computer security defense will help any entity better focus on the right threats and defenses. It will create an environment which will help you recognize emerging threats sooner, communicate those threats faster, and defend far more efficiently. What is taught in this book...better aligning defenses to the very threats they are supposed to defend against, will seem commonsense after you read them, but for reasons explained in the book, aren't applied by most companies. The lessons learned come from a 30-year computer security veteran who consulted with hundreds of companies, large and small, who figured out what did and didn't work when defending against hackers and malware. Roger A. Grimes is the author of nine previous books and over 1000 national magazine articles on computer security. Reading A Data-Driven Computer Security Defense will change the way you look at and use computer security for now on.

This hands-on guide--for planning, diagnosing, implementing, and evaluating organization development interventions--gives scientifically based information, tools, suggestions, and guidelines for those who must manage the human side of change. In Organization Development, leading experts and pioneers: * Present a unified framework for understanding OD * Demonstrate OD's effectiveness for improving individual and organizational performance * Specify what types of goals, values, practices, and interventions should (and should not) represent OD You'll gain a clear understanding of the processes, approaches, and strategies that have been proven to work in managing organizational change. Plus, you'll get a wealth of charts, materials, and checklists, as well as useful practice tips.

Collaborative teaching, or co-teaching, is a powerful way to support the learning of students with diverse learning needs. But how do you know when you're doing it right? And if you're not, what can you do about that? Authors Wendy W. Murawski and Wendy W. Lochner introduce the Collaborative Teaching Improvement Model of Excellence (CTIME), a continuous improvement model that embraces personalized professional learning to ensure that teachers meet the core competencies for co-teaching without burning out along the way. Incorporating a systematic application of collaborative groups, data analysis, microteaching, feedback, and collegial support, CTIME is the culmination of the best research in the field.As Murawski and Lochner walk you through their data-driven, no-fail model of co-teaching, you'll learn aboutThe CTIME process and how it works.Co-teaching core competencies measured schoolwide and at the classroom level.Assessment of progress toward mastery.Co-teaching action plans.Professional learning communities and schoolwide improvement.Co-teaching communities of practice and microteaching.Co-teaching facilitation, feedback, and reflection. Offering a practical approach to achieving mastery of the co-teaching core competencies, this book provides dozens of strategies, resources, and templates that can be used by district-level administrators, principals, and co-teaching teams. If you're ready to examine your co-teaching practices to make sure you're achieving the best possible outcomes for your students, then Beyond Co-Teaching Basics is for you.

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.

Unread book in perfect condition.

Unread book in perfect condition.

Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 1.1

Tools and techniques from the trailblazers in data-based education reformOver a period of several years Amanda Datnow and Vicki Park visited public schools with a reputation for being ahead of the pack in data-driven decision making The results of this pioneering study reveal how education leaders can make data work for students and teachers rather than against them This book is an essential guide to meeting the challenges of high-stakes accountability building performance-based schools and improving student outcomes By following the advice in this book youll be able to transform data overload into a data-positive school culture Youll learn the difference between data-driven leadership and data-informed leadership and how to use distributed leadership to inspire collaboration and guided analysis Incorporating narrative reflections drawn from real educators and administrators the authors refine their observations and interviews into practical conclusions that leaders can put to use immediately This book empowers leaders to support inquiry build trust in data-based initiatives establish goals for evidence use and provide educators with the skills they need to mobilize data for the good of all stakeholders Datnow and Parks ideas are easily accessible and grounded in clear examples and their seven calls about what needs to be done nail the problem and the solutions Use this book as your action guide and youll be rewarded with better results in student learning -Michael Fullan professor emeritus University of TorontoDatnow and Park uncover at last what it means to use data to inform leadership Documenting the four Ps people policies practices and patterns in schools we learn about the organization and dynamics of reform informed by data A must read -Ann Lieberman senior scholar Stanford University

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Measure the difference you make in students' academic, career, and personal/social development!Aligned with the American School Counselor Association's National Model, this authoritative guide from highly respected counselor educators and trainers gives preservice and inservice counselors the tools to identify evidence-based practices in their field and to use data in designing, implementing, and evaluating programs and interventions. With vignettes and recommendations in every chapter, this book offers skill-building guidelines for: Analyzing outcome research to inform planning Carrying out action research and building collaborative partnerships Measuring student learning and behavior change Communicating results to stakeholders, and more