Data analytics for business, Annansingh, Fenio Sesay, Joseph Bon
Автор: Murray Eva Название: Empowered by Data: How to Build Inspired Analytics Communities ISBN: 1119705657 ISBN-13(EAN): 9781119705659 Издательство: Wiley Рейтинг: Цена: 28500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Learn to build an analytics community in your organization from scratch
How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities.
How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover:
- What analytics communities are and what they look like
- Why data-driven organizations need analytics communities
- How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like.
- How they can establish their own communities and what they can do to ensure their community grows and flourishes
Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.
Автор: Vowels Susan, Leaming Goldberg Katherine Название: Teaching Data Analytics: Pedagogy and Program Design ISBN: 1032091894 ISBN-13(EAN): 9781032091891 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Geared towards educators interested in developing curriculum related to data analytics. Contains best practices for individual courses and program development.
Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner ISBN: 1118729277 ISBN-13(EAN): 9781118729274 Издательство: Wiley Рейтинг: Цена: 118270.00 T Наличие на складе: Поставка под заказ. Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.
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) Рейтинг: 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: Mize Edward Название: Data Analytics: The Ultimate Beginner`s Guide to Data Analytics ISBN: 192599757X ISBN-13(EAN): 9781925997576 Издательство: Неизвестно Рейтинг: Цена: 18350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Learn how to use data analytics to improve efficiencies, accelerate growth, and increase sales (even if you know NOTHING)
What if you could leverage the power of data analytics in your job, in your business, or at school?
Imagine being a master of data analytics; solving problems quicker and doing work faster than ever before
Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect data analytics guide for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical data analytics book for a beginner. Well-known and incredibly popular for his ability to teach hard topics in an easy-to-understand way, you won't have any issues learning (and implementing everything you learn).
Do you feel like your business or work doesn't benefit from the edge of IT, math, and technology?
Do you wish you could quickly and easily fix holes in your execution (marketing, operations, sales, etc.)?
Or if the idea of exploring data analytics that can benefit your work, business, or school sounds appealing...
THEN THIS BOOK IS FOR YOU
In this book, you will get:
A comprehensive breakdown of everything you learn so that it is easy-to-understand and perfect for anyone who is a beginner.
An understanding of the edge that business intelligence and data analytics plays in the real world today.
An introduction to the different types of data analytics, what it means in the real world, and how you can apply it in your life for better quality and more powerful results.
Edward's personal email address for unlimited customer support if you have any questions
And much, much more...
Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page
Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data.
The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.
Автор: Delen Dursun Название: Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners ISBN: 0136738516 ISBN-13(EAN): 9780136738510 Издательство: Pearson Education Рейтинг: Цена: 50150.00 T Наличие на складе: Поставка под заказ. Описание: Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen provides a holistic approach covering key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies--including lessons from failed projects. It is all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection
Автор: Ghavami Peter Название: Big Data Analytics Methods ISBN: 1547417951 ISBN-13(EAN): 9781547417957 Издательство: Walter de Gruyter Рейтинг: Цена: 85540.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensembles of models for optimal accuracy of analysis and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen data scientists insight on how to overcome challenges and avoid common pitfalls and traps in data analytics.
The book offers solutions and tips on handling missing data, noisy and dirty data, error reduction and boosting signal to reduce noise. It discusses data visualization, prediction, optimization, artificial intelligence, regression analysis, the Cox hazard model and many analytics using case examples with applications in the healthcare, transportation, retail, telecommunication, consulting, manufacturing, energy and financial services industries. This book's state of the art treatment of advanced data analytics methods and important best practices will help readers succeed in data analytics.
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) Рейтинг: 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: Iiba Название: Guide to Business Data Analytics ISBN: 1927584205 ISBN-13(EAN): 9781927584200 Издательство: Неизвестно Рейтинг: Цена: 98080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Guide to Business Data Analytics provides a foundational understanding of business data analytics concepts and includes how to develop a framework; key techniques and application; how to identify, communicate and integrate results; and more.
Автор: Beheshti Seyed-Mehdi-Reza, Benatallah Boualem, Sakr Sherif Название: Process Analytics: Concepts and Techniques for Querying and Analyzing Process Data ISBN: 3319797247 ISBN-13(EAN): 9783319797243 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data.
Автор: Argote Cusi Milenka Linneth, Parra Bernal Leуn Darнo Название: Global Entrepreneurship Analytics: Using GEM Data ISBN: 0367542099 ISBN-13(EAN): 9780367542092 Издательство: Taylor&Francis Рейтинг: Цена: 22450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology.
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
