Learning Alteryx

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Learning Alteryx

Author : Renato Baruti
Publisher : Packt Publishing Ltd
ISBN 13 : 1788398688
Total Pages : 219 pages
Book Rating : 4.7/5 (883 download)

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Book Synopsis Learning Alteryx by : Renato Baruti

Download or read book Learning Alteryx written by Renato Baruti and published by Packt Publishing Ltd. This book was released on 2017-12-26 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform About This Book Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use Who This Book Is For This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book. What You Will Learn Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders In Detail Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book. The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you. Style and approach Comprehensive, step by step guide filled with real-world examples to step through the complex business questions using one of the leading data analytics platform.

Alteryx for Accounting, Tax and Finance Professionals

Author : Trent Green
Publisher : Independently Published
ISBN 13 :
Total Pages : 174 pages
Book Rating : 4.5/5 (786 download)

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Book Synopsis Alteryx for Accounting, Tax and Finance Professionals by : Trent Green

Download or read book Alteryx for Accounting, Tax and Finance Professionals written by Trent Green and published by Independently Published. This book was released on 2021-01-19 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dealing with massive amounts of messy data as part of Microsoft Excel(TM) calculations has traditionally been an enormously labor-intensive and time-consuming challenge for accounting, tax and finance professionals. This book explains how Alteryx(TM) can be used to address these challenges in a progressive, fully illustrated manner.- Learn how to import data from Excel and other sources into Alteryx using the Input Data tool.- Develop Alteryx "workflows" to quickly and systemically organize, format, cleanse and analyze large amounts of data using tools such as Select Records, Dynamic Rename, Select, Filter, Unique, Text to Columns, DateTime and several others.- Cleanly and accurately combine separate datasets using the Join and Union Tools.- Learn advanced techniques for manipulating data presented in rows and columns using the CrossTab and Transpose tools.- Use the Summarize tool to perform calculations and to aggregate data in rows.- Export data that you've cleaned and organized to Excel using the Output Data tool for further computations and analysis.- Review methods and techniques for taking advantage of the speed and power of Alteryx while simultaneously strengthening internal controls.All of the material presented in this book is explained in the context of financial and other examples that matter to accounting, tax and finance professionals. If you've been searching for a better, faster and more accurate way to organize large amounts of data that feed into and support complex Excel calculations, this is the guide you've been looking for!

Alteryx Designer: The Definitive Guide

Author : Joshua Burkhow
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098107470
Total Pages : 560 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Alteryx Designer: The Definitive Guide by : Joshua Burkhow

Download or read book Alteryx Designer: The Definitive Guide written by Joshua Burkhow and published by "O'Reilly Media, Inc.". This book was released on 2023-11-15 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks. This practical book shows you how to master all areas of Alteryx Designer quickly. Author and Alteryx ACE Joshua Burkhow starts with the basics of building a workflow, then introduces more than 200 tools for working with intermediate and advanced analytics functionality. With Alteryx Designer's all-in-one toolkit, you'll migrate from legacy analytics software or Excel with ease. Ready to work with data quickly and efficiently? This guide gets you started. Learn the fundamentals of cleaning, prepping, and analyzing data with Alteryx Designer Install, navigate, and quickly become competent with the Alteryx Designer layout and functionality Construct accurate, performant, reliable, and well-documented workflows that automate business processes Learn intermediate techniques using spatial analytics, reporting, and in-database tools Dive into advanced Alteryx capabilities, including predictive and machine learning tools Get introduced to the entire Alteryx Analytic Process Automation (APA) Platform

Machine Learning for Finance

Author : Jannes Klaas
Publisher :
ISBN 13 : 9781789136364
Total Pages : 456 pages
Book Rating : 4.1/5 (363 download)

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Book Synopsis Machine Learning for Finance by : Jannes Klaas

Download or read book Machine Learning for Finance written by Jannes Klaas and published by . This book was released on 2019-05-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plan and build useful machine learning systems for financial services, with full working Python code Key Features Build machine learning systems that will be useful across the financial services industry Discover how machine learning can solve finance industry challenges Gain the machine learning insights and skills fintech companies value most Book Description Machine learning skills are essential for anybody working in financial data analysis. Machine Learning for Finance shows you how to build machine learning models for use in financial services organizations. It shows you how to work with all the key machine learning models, from simple regression to advanced neural networks. You will see how to use machine learning to automate manual tasks, identify and address systemic bias, and find new insights and patterns hidden in available data. Machine Learning for Finance encourages and equips you to find new ways to use data to serve an organization's business goals. Broad in scope yet deeply practical in approach, Machine Learning for Finance will help you to apply machine learning in all parts of a financial organization's infrastructure. If you work or plan to work in fintech, and want to gain one of the most valuable skills in the sector today, this book is for you. What you will learn Practical machine learning for the finance sector Build machine learning systems that support the goals of financial organizations Think creatively about problems and how machine learning can solve them Identify and reduce sources of bias from machine learning models Apply machine learning to structured data, natural language, photographs, and written text related to finance Use machine learning to detect fraud, forecast financial trends, analyze customer sentiments, and more Implement heuristic baselines, time series, generative models, and reinforcement learning in Python, scikit-learn, Keras, and TensorFlow Who this book is for Machine Learning for Finance is for financial professionals who want to develop and apply machine learning skills, and for students entering the field. You should be comfortable with Python and the basic data science stack, such as NumPy, pandas, and Matplotlib, to get the most out of this book.

How Charts Lie: Getting Smarter about Visual Information

Author : Alberto Cairo
Publisher : W. W. Norton & Company
ISBN 13 : 1324001577
Total Pages : 273 pages
Book Rating : 4.3/5 (24 download)

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Book Synopsis How Charts Lie: Getting Smarter about Visual Information by : Alberto Cairo

Download or read book How Charts Lie: Getting Smarter about Visual Information written by Alberto Cairo and published by W. W. Norton & Company. This book was released on 2019-10-15 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive—intentionally or unintentionally. To be informed citizens, we must all be able to decode and use the visual information that politicians, journalists, and even our employers present us with each day. Demystifying an essential new literacy for our data-driven world, How Charts Lie examines contemporary examples ranging from election result infographics to global GDP maps and box office record charts, as well as an updated afterword on the graphics of the COVID-19 pandemic.

Accounting Information Systems

Author : Arline A. Savage
Publisher : John Wiley & Sons
ISBN 13 : 1119889383
Total Pages : 851 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Accounting Information Systems by : Arline A. Savage

Download or read book Accounting Information Systems written by Arline A. Savage and published by John Wiley & Sons. This book was released on 2024-01-08 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Text Analysis with Python

Author : Benjamin Bengfort
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491962992
Total Pages : 328 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Applied Text Analysis with Python by : Benjamin Bengfort

Download or read book Applied Text Analysis with Python written by Benjamin Bengfort and published by "O'Reilly Media, Inc.". This book was released on 2018-06-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity

Next-Generation Big Data

Author : Butch Quinto
Publisher : Apress
ISBN 13 : 1484231473
Total Pages : 572 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Next-Generation Big Data by : Butch Quinto

Download or read book Next-Generation Big Data written by Butch Quinto and published by Apress. This book was released on 2018-06-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard. What You’ll Learn Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing Turbocharge Spark with Alluxio, a distributed in-memory storage platform Deploy big data in the cloud using Cloudera Director Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard Who This Book Is For BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Learning Tableau

Author : Joshua N. Milligan
Publisher : Packt Publishing Ltd
ISBN 13 : 1784394343
Total Pages : 340 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Learning Tableau by : Joshua N. Milligan

Download or read book Learning Tableau written by Joshua N. Milligan and published by Packt Publishing Ltd. This book was released on 2015-04-27 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data visually. Some familiarity with databases and data structures is helpful, but not required.

Dear Data

Author : Giorgia Lupi
Publisher : Chronicle Books
ISBN 13 : 1616895462
Total Pages : 304 pages
Book Rating : 4.6/5 (168 download)

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Book Synopsis Dear Data by : Giorgia Lupi

Download or read book Dear Data written by Giorgia Lupi and published by Chronicle Books. This book was released on 2016-09-13 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Auditing

Author : Raymond N. Johnson
Publisher : Wiley Global Education
ISBN 13 : 1119404924
Total Pages : 733 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Auditing by : Raymond N. Johnson

Download or read book Auditing written by Raymond N. Johnson and published by Wiley Global Education. This book was released on 2019-05-20 with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of data analytics in the auditing profession demands a different kind of auditor. Auditing: A Practical Approach with Data Analytics prepares students for the rapidly changing demands of the auditing profession by meeting the data-driven requirements of today's workforce. Because no two audits are alike, this course uses a practical, case-based approach to help students develop professional judgement, think critically about the auditing process, and develop the decision-making skills necessary to perform a real-world audit. To further prepare students for the profession, this course integrates seamless exam review for successful completion of the CPA Exam.

Customer and Business Analytics

Author : Daniel S. Putler
Publisher : CRC Press
ISBN 13 : 146650398X
Total Pages : 314 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Customer and Business Analytics by : Daniel S. Putler

Download or read book Customer and Business Analytics written by Daniel S. Putler and published by CRC Press. This book was released on 2012-05-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Learning Tableau 2020

Author : Joshua N. Milligan
Publisher : Packt Publishing Ltd
ISBN 13 : 1800203721
Total Pages : 577 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Learning Tableau 2020 by : Joshua N. Milligan

Download or read book Learning Tableau 2020 written by Joshua N. Milligan and published by Packt Publishing Ltd. This book was released on 2020-08-31 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's note: This edition from 2020 is outdated and does not make use of the most recent Tableau features. A new fifth edition, updated for Tableau 2022, is now available. Key FeaturesExplore the latest Tableau 2020 features and redefine business analytics for your firmUnderstand visualizing data and creating interactive dashboards to gain meaningful insightsLearn implementing effective data storytelling to redefine how your business leverages data and makes decisionsBook Description Learning Tableau strengthens your command on Tableau fundamentals and builds on advanced topics. The book starts by taking you through foundational principles of Tableau. We then demonstrate various types of connections and how to work with metadata. We teach you to use a wide variety of visualizations to analyze and communicate the data, and introduce you to calculations and parameters. We then take an in-depth look at level of detail (LOD) expressions and use them to solve complex data challenges. Up next, we show table calculations, how to extend and alter default visualizations, build an interactive dashboard, and master the art of telling stories with data. This Tableau book will introduce you to visual statistical analytics capabilities, create different types of visualizations and dynamic dashboards for rich user experiences. We then move on to maps and geospatial visualization, and the new Data Model capabilities introduced in Tableau 2020.2. You will further use Tableau Prep's ability to clean and structure data and share the stories contained in your data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2020 for decision-making. What you will learnDevelop stunning visualizations to explain complex data with clarityExplore exciting new Data Model capabilitiesConnect to various data sources to bring all your data togetherLeverage Tableau Prep Builder's amazing capabilities for data cleaning and structuringCreate and use calculations to solve problems and enrich the analyticsMaster advanced topics such as sets, LOD calculations, and much moreEnable smart decisions with data clustering, distribution, and forecastingShare your data stories to build a culture of trust and actionWho this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book will simplify Tableau for beginners to build on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Having a bit of background with data will help, but you don't need to know scripting, SQL or database structures.

Taming The Big Data Tidal Wave

Author : Bill Franks
Publisher : John Wiley & Sons
ISBN 13 : 1118208781
Total Pages : 42 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Taming The Big Data Tidal Wave by : Bill Franks

Download or read book Taming The Big Data Tidal Wave written by Bill Franks and published by John Wiley & Sons. This book was released on 2012-04-24 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior…. As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes…. As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site…. Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game. It is just what is needed to get past some spots you’ve been struggling with…. Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion. What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time. Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about. Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!

Authorship Attribution

Author : Patrick Juola
Publisher : Now Publishers Inc
ISBN 13 : 160198118X
Total Pages : 116 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis Authorship Attribution by : Patrick Juola

Download or read book Authorship Attribution written by Patrick Juola and published by Now Publishers Inc. This book was released on 2008 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

Predictive Analytics For Dummies

Author : Anasse Bari
Publisher : John Wiley & Sons
ISBN 13 : 1118729412
Total Pages : 371 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Predictive Analytics For Dummies by : Anasse Bari

Download or read book Predictive Analytics For Dummies written by Anasse Bari and published by John Wiley & Sons. This book was released on 2014-03-06 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

Neutral and Indifference Portfolio Pricing, Hedging and Investing

Author : Srdjan Stojanovic
Publisher : Springer Science & Business Media
ISBN 13 : 0387714170
Total Pages : 274 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Neutral and Indifference Portfolio Pricing, Hedging and Investing by : Srdjan Stojanovic

Download or read book Neutral and Indifference Portfolio Pricing, Hedging and Investing written by Srdjan Stojanovic and published by Springer Science & Business Media. This book was released on 2011-09-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for quantitative finance professionals, students, educators, and mathematically inclined individual investors. It is about some of the latest developments in pricing, hedging, and investing in incomplete markets. With regard to pricing, two frameworks are fully elaborated: neutral and indifference pricing. With regard to hedging, the most conservative and relaxed hedging formulas are derived. With regard to investing, the neutral pricing methodology is also considered as a tool for connecting market asset prices with optimal positions in such assets. Srdjan D. Stojanovic is Professor in the Department of Mathematical Sciences at University of Cincinnati (USA) and Professor in the Center for Financial Engineering at Suzhou University (China).