Analytics Boot Camp, Linda Herkenhoff |John Fogli

Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong
Название: Quantitative Trading
ISBN: 0367871815 ISBN-13(EAN): 9780367871819
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove

Автор: Sumer, Selay Ilgaz
Название: Social Media Analytics in Predicting Consumer Behavior
ISBN: 1032059907 ISBN-13(EAN): 9781032059907
Издательство: Taylor&Francis
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Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understanding the importance of social media analytics. Comprehending the role of social media analytics in predicting consumer behavior. Understanding the importance of using social media in strategic marketing plans.

Автор: Chen, Jenny K
Название: Financial Data Analytics with R: Monte Carlo Validation
ISBN: 1032745118 ISBN-13(EAN): 9781032745114
Издательство: Taylor&Francis
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Цена: 168430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Jeffrey D. Camm, James J. Cochran, Michael J. Fr
Название: Business Analytics
ISBN: 0357902203 ISBN-13(EAN): 9780357902202
Издательство: Cengage Learning
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Цена: 471680.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Автор: Liebowitz, Jay
Название: Intuition, Trust, and Analytics
ISBN: 1032476516 ISBN-13(EAN): 9781032476513
Издательство: Taylor&Francis
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Цена: 45930.00 T
Наличие на складе: Нет в наличии.

Автор: Verma, Rakesh M. (university Of Houston, Texas, Usa) Marchette, David J. (naval Surface Warfare Center, Dahlgren, Virginia, Usa)
Название: Cybersecurity analytics
ISBN: 1032401001 ISBN-13(EAN): 9781032401003
Издательство: Taylor&Francis
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Цена: 45930.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book organizes in one place the mathematics, probability, statistics and machine learning information that is required for a practitioner of cybersecurity analytics, as well as the basics of cybersecurity needed for a practitioner.

Автор: Levine, David Stephan, David
Название: Even you can learn statistics and analytics
ISBN: 0137654766 ISBN-13(EAN): 9780137654765
Издательство: Pearson Education
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Цена: 32180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Luckily, the parking lot only deleted footage every three months because of the relatively heavy flow of tourism that took place at Cramond Ghost Island during the summer months. The old man in charge of the parking lot security cameras asked us why we needed the footage. Ethan told him that I met someone there at noon on a Saturday in July and that the police needed to verify that this meeting took place on that date. The old man had to review footage of the four Saturdays in July. He grumbled as he escorted us to a small viewing room at the rear end of the parking lot. Ethan and I sat down next to the old man as he began his search. He

Автор: Sahay. Amar
Название: Essentials of Data Science and Analytics: Statistical Tools in Data Science and Analytics–an Overview of Machine Learning and R-Statistical Software
ISBN: 1631573454 ISBN-13(EAN): 9781631573453
Издательство: Mare Nostrum (Eurospan)
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Цена: 22570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data science has emerged as one of the most desired fields in driving business decisions. Data science employs techniques and methods from many other fields, such as statistics, mathematics, computer science, and information science. Besides the methods and theories drawn from several fields, data science uses visualization techniques using specially designed big data software and statistical programming language, such as R programming, and Python. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI). The book is divided into four different areas divided into different chapters. These chapters explain the core of Data Science. Part I of the book introduces the field of Data Science, different disciplines it comprises of, and the scope with future outlook and career prospects. This section also explains analytics, business analytics, and business intelligence and their similarities and differences with Data Science. Since the data is at the core of Data science, Part II is devoted to explaining the data, big data, and other features of data. One full chapter is devoted to Data Analysis, creating visuals, pivot table, and other applications using Excel with office 365. Part III explains the statistics behind Data Science. It uses several chapters to explain the statistics and its importance, numerical and data visualization tools and methods, probability, and probability distribution applications in Data Science. Other chapters in the Part III are Sampling, Estimation, and Hypothesis Testing. All these are integral part of Data Science applications. Part IV of the book provides the basics of Machine Learning (ML) and R-statistical software. Data Science has wide applications in the areas of Machine Learning (ML) and Artificial Intelligence (AI) and R-statistical software is widely used by data science professionals. The book also outlines a brief history, the body of knowledge, skills and education requirements for Data Scientist and data science professionals. Some statistics on job growth and prospects are also summarized. A career in data science is ranked at the third best job in America for 2020 by Glassdoor, and was ranked the number one best job from 2016-2019.[29]

Автор: Sahay Amar
Название: Business Analytics, Volume II: A Data Driven Decision Making Approach for Business
ISBN: 1631574795 ISBN-13(EAN): 9781631574795
Издательство: Mare Nostrum (Eurospan)
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Цена: 22570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes.It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together.The first three chapters provide an introduction to BA, importance of analytics, types of BA—descriptive, predictive, and prescriptive—along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics—machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.

Автор: Nabavi Majid, Olson David L.
Название: Introduction to Business Analytics
ISBN: 1949443272 ISBN-13(EAN): 9781949443271
Издательство: Mare Nostrum (Eurospan)
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Цена: 18390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This book is intended to present key concepts related to quantitative analysis in business. It is targeted to business students, undergraduate and graduate, taking an introductory core course. Topics covered include knowledge management, visualization, sampling and hypothesis testing, regression (simple, multiple, and logistic), as well as optimization modeling. It concludes with a brief overview of data mining. Concepts are demonstrated with worked examples.

Название: Handbook of research on expanding business opportunities with information systems and analytics /
ISBN: 1522562257 ISBN-13(EAN): 9781522562252
Издательство: Turpin
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Цена: 274730.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advancements in data collection will affect all aspects of businesses, improving and bringing complexity to management and demanding integration of all resources, principles, and processes. The interpretation of these new technologies is essential to the advancement of management and business.The Handbook of Research on Expanding Business Opportunities With Information Systems and Analytics is a vital scholarly publication that examines technological advancements in data collection that will influence major change in many aspects of business through a multidisciplinary approach. Featuring coverage on a variety of topics such as market intelligence, knowledge management, and brand management, this book explores new complexities to management and other aspects of business. This publication is designed for entrepreneurs, business managers and executives, researchers, business professionals, data analysts, academicians, and graduate-level students seeking relevant research on data collection advancements.

Автор: Tavana Madjid, Szabat Kathryn, Puranam Kartikeya
Название: Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics
ISBN: 1522506543 ISBN-13(EAN): 9781522506546
Издательство: Mare Nostrum (Eurospan)
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Цена: 199590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting.Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization’s operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.