Название: Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP
Автор: Барсегян А.А., Куприянов М.С. и др.
Издательство: БХВ-Петербург
Год: 2007 - 2-е изд., перераб. и дополн.
Cтраниц: 384
Формат: pdf
Размер: 127 мб
Язык: русский

Книга является вторым, обновленным и дополненным, изданием учебного пособия «Методы и модели анализа данных. OLAP и Data Mining». Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных.

Название: Разберись в Data Science: как освоить науку о данных и научиться думать как эксперт
Автор: Алекс Дж. Гатман, Джордан Голдмейер
Издательство: Эксмо
Год: 2023
Страниц: 296
Язык: русский
Формат: pdf, fb2, epub
Размер: 12.3 MB

Перед вами исчерпывающее руководство по основам Data Science. С помощью него вы сможете научиться мыслить статистически и понимать, какую роль в вашей работе играет аналитика, пользоваться языком науки о данных, избегать распространенных ошибок при работе с ними и, наконец, разобраться в полезных инструментах, которые используют эксперты. В этой книге вы познакомитесь с инструментами, терминами и образом мышления, необходимыми для навигации по промышленному комплексу науки о данных. Вы научитесь понимать данные и связанные с ними проблемы на более глубоком уровне, критически относиться к данным и результатам, с которыми сталкиваетесь, а также разумно говорить обо всем, что касается данных. Короче говоря, вы станете главным по данным. Многие полагают, что «традиционная» аналитика, большие данные и искусственный интеллект (ИИ) – это отдельные явления. Однако авторы книги «Разберись в Data Science» справедливо считают, что эти вещи тесно связаны друг с другом.

Название: Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence
Автор: Alejandro Pena-Ayala
Издательство: Springer
Серия: Big Data Management
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 33.3 MB

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze Big Data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic Big Data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice.

Название: The Shelly Cashman Series Microsoft Office 365 & Word 2021 Comprehensive
Автор: Misty E. Vermaat, Jennifer Duffy
Издательство: Cengage Learning
Год: 2023
Страниц: 754
Язык: английский
Формат: pdf (true)
Размер: 42.4 MB

Helping you quickly get up to speed, THE SHELLY CASHMAN SERIES MICROSOFT OFFICE 365 & WORD 2021 COMPREHENSIVE, 1st edition, includes the latest on Microsoft 365 and Office 2021 features along with enhanced support for Mac users. Its trademark step-by-step, screen-by-screen, project-based approach enables you to expand your understanding of Office applications through hands-on experimentation and critical thinking. Module Learning Objectives are mapped to Microsoft Office Specialist (MOS) certification objectives, reinforcing the critical skills needed for college and career success. Other Ways boxes reveal alternate click paths to achieve a step, while BTW call-outs offer helpful hints as you work through your projects so you can make the most of Microsoft Office tools. In addition, MindTap and SAM (Skills Assessment Manager) online resources help maximize your study time -- and results.

Название: CompTIA Linux+ Certification All-in-One Exam Guide (Exam XK0-005) (2nd Edition)
Автор: Ted Jordan, Sandor Strohmayer
Издательство: McGraw Hill
Год: 2023
Страниц: 758
Язык: английский
Формат: epub (true)
Размер: 88.2 MB

This comprehensive study guide delivers 100% coverage of every topic on the challenging CompTIA Linux+ exam. Take the newest version of the CompTIA Linux+ exam (Exam XK0-005) with complete confidence using the detailed information contained in this highly effective self-study guide. You will get clear explanations of every topic on the test along with special elements that reinforce and teach practical skills, step-by-step exercises, exam tips, and notes. Written by an expert in the field, the book serves both a powerful exam preparation tool and an ideal on-the-job reference. CompTIA Linux+ Certification All-in-One Exam Guide, Second Edition (Exam XK0-005) offers complete coverage of every topic on the test and features more than 180 accurate practice questions. Videos and a downloadable virtual machine is pre-configured for use with specific exercises in each chapter. Sidebars throughout offer real-world insights and practical applications, and end-of-chapter summaries and review questions aid in retention.

Название: Job Ready SQL
Автор: Kimberly A. Weiss, Haythem Balti
Издательство: Wiley
Год: 2023
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 23.9 MB

Learn the most important SQL skills and apply them in your job - quickly and efficiently! SQL (Structured Query Language) is the modern language that almost every relational database system supports for adding data, retrieving data, and modifying data in a database. Although basic visual tools are available to help end-users input common commands, data scientists, business intelligence analysts, Cloud engineers, Machine Learning programmers, and other professionals routinely need to query a database using SQL. Job Ready SQL provides readers with an understanding of relational databases and Structured Query Language (SQL). SQL is a domain‐specific language designed for managing data held in a relational database management system. This book contains a full‐fledged SQL course that is used by the Wiley Edge Global Academy and the Software Guild to train our alumni in SQL and other topics, such as data analysis and Data Science.

Название: Fundamentals of Predictive Analytics with JMP, 3rd Edition
Автор: Ron Klimberg
Издательство: SAS Institute Inc.
Год: 2023
Страниц: 494
Язык: английский
Формат: pdf (true)
Размер: 52.3 MB

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded third edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. The software used in many initial statistics courses is Microsoft Excel, which is easily accessible and provides some basic statistical capabilities. However, as you advance through the course, because of Excel’s statistical limitations, you might also use some nonprofessional, textbook-specific statistical software or perhaps some professional statistical software. Excel is not a professional statistics software application; it is a spreadsheet. Using JMP 17, this book discusses the following new and enhanced features in an example-driven format.

Название: Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot (5th Early Release)
Автор: Mark Needham
Издательство: O’Reilly Media, Inc.
Год: 2023-04-27
Страниц: 111
Язык: английский
Формат: epub
Размер: 10.1 MB

Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly. The term “streaming” describes a continuous, never-ending flow of data with no beginning or end. The data is made available incrementally over time, which means that you can act upon it without needing to download everything in one go. A data stream consists of a series of data points ordered in time. Each data point represents an “event” or a change in state that has occurred in the business. For example, a customer purchasing a product becomes an event, which captures facts about the person, product, price, and transaction time.

Название: Automating Data Transformations: Enable Your Organization to Solve the Largest Bottleneck in Analytics
Автор: Satish Jayanthi, Armon Petrossian
Издательство: O’Reilly Media, Inc.
Год: 2023-04-25
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

The modern data stack has evolved rapidly in the past decade. Yet, as enterprises migrate vast amounts of data from on-premises platforms to the cloud, data teams continue to face limitations executing data transformation at scale. Data transformation is an integral part of the analytics workflow–but it's also the most time-consuming, expensive, and error-prone part of the process. Today, integrating data into business operations is table stakes. Winning organizations will have the most performant and scalable architectures, prioritize the value of their outputs, and place the greatest emphasis on results. We’ve seen this pattern in other operational groups: engineering, sales, and marketing, to name a few. From workplace wikis to a slew of Slack apps, automation and tooling drive process improvement, which multiplies the value-add of passionate, curious employees—this is the premise of the modern data stack (MDS).

Название: Developing a Path to Data Dominance: Strategies for Digital Data-Centric Enterprises
Автор: Arthur Langer, Arka Mukherjee
Издательство: Springer
Год: 2023
Страниц: 291
Язык: английский
Формат: pdf (true), epub
Размер: 40.8 MB

Most existing companies struggle currently because they lack the tools and strategies to move product departments into independent platforms that can be retrofitted to form dynamic new products based on consumer demands. This book provides managers and professionals with the necessary approaches for designing software and hardware architectures to support data platform organizations. Specifically, it demonstrates how to automate the decomposition of existing platforms into smaller parts that can be reused to form new variations. This task requires significant analysis and design methodologies and procedures to create an infrastructure based on data as opposed to products. These new knowledge bases allow data-centric professionals to pursue actions that can better predict and respond to the unexpected. Data orchestration is a process where software that accesses siloed data from multiple sources and systems combines it into a common formatted repository for general access. DataOps, short for data operations, is the practice that applies agile engineering techniques with DevOps best practices to the field of data management.