Название: Effective Data Analysis: Hard and soft skills (MEAP V9)
Автор: Mona Khalil
Издательство: Manning Publications
Год: 2024
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 48.8 MB

Learn the technical and soft skills you need to succeed in your career as a data analyst. Effective Data Analysis is full of sage advice on how to be an effective data analyst in a real production environment. Inside, you’ll find methods that maximize the impact of your work, from choosing the right analysis approach to effectively communicating with stakeholders. You’ll soon understand the nuances and challenges of real data science projects, with the kind of insights that only come from years of experience. Without doubt, technical skills in Python, R, SQL, along with knowledge of statistics and data science are vital to your success as an analyst. However, they’re only part of the picture. This one-of-a-kind guide reveals the soft skills, best practices, and tools that help you maximize your effectiveness and deliver accurate data-driven decisions in your organization. Effective Data Analysis teaches you to deliver productive data science in business and research. It assumes you’ve mastered the basics and supports you with best practices normally learned through trial-and-error or careful mentorship. You’ll start with asking the right questions of your stakeholders and turning often-vague requirements into realistic data pipelines. Once you’ve mastered the people skills, you’ll move on to the technical bits—including defining your metrics, testing, and more. Build out your analyst’s toolbox with techniques for statistical modeling, sourcing your data, automation, and more. Finally, finish up with realistic advice on developing a data-informed organizational culture that will ensure your skills are delivering to their full potential.

Название: DuckDB in Action (Final Release)
Автор: Mark Needham, Michael Hunger, Michael Simons
Издательство: Manning Publications
Год: 2024
Страниц: 314
Язык: английский
Формат: pdf (true)
Размер: 19.5 MB

Dive into DuckDB and start processing gigabytes of data with ease—all with no data warehouse. DuckDB is a cutting-edge SQL database that makes it incredibly easy to analyze big data sets right from your laptop. In DuckDB in Action you’ll learn everything you need to know to get the most out of this awesome tool, keep your data secure on prem, and save you hundreds on your cloud bill. From data ingestion to advanced data pipelines, you’ll learn everything you need to get the most out of DuckDB—all through hands-on examples. Pragmatic and comprehensive, DuckDB in Action introduces the DuckDB database and shows you how to use it to solve common data workflow problems. You won’t need to read through pages of documentation—you’ll learn as you work. Get to grips with DuckDB's unique SQL dialect, learning to seamlessly load, prepare, and analyze data using SQL queries. Extend DuckDB with both Python and built-in tools such as MotherDuck, and gain practical insights into building robust and automated data pipelines. DuckDB makes data analytics fast and fun! You don’t need to set up a Spark or run a cloud data warehouse just to process a few hundred gigabytes of data. DuckDB is easily embeddable in any data analytics application, runs on a laptop, and processes data from almost any source, including JSON, CSV, Parquet, SQLite and Postgres. For data pros comfortable with Python and CLI tools.

Название: Windows 10 For Beginners - 19th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 120
Язык: английский
Формат: pdf
Размер: 44.1 MB

"Windows 10 для начинающих" - это первый и единственный выбор, если вы новичок и хотите узнать все, что нужно для начала вашей работы с этой операционной системой. Это независимое руководство наполнено полезными рекомендациями и пошаговыми полностью иллюстрированными учебными пособиями, написанными на простом и понятном английском языке. На страницах этого нового руководства пользователя вы узнаете все, что нужно знать о настройках "из коробки", освоите более сложные функции и откроете для себя огромное количество удивительных приложений. С этим неофициальным руководством ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и расширяете свой пользовательский опыт.

Название: Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale (Final Release)
Автор: Gaurav Ashok Thalpati
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 351
Язык: английский
Формат: epub
Размер: 10.1 MB

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Lakehouse architecture is one such modern architectural pattern that has evolved in the last few years. It has become a popular choice for data architects who are designing data platforms. In the Chapter 1, I’ll introduce you to fundamental concepts related to data architecture, data platform and its core components, and how data architecture helps build a data platform. Once you have understood these, I’ll explain why there is a need for new architectural patterns like lakehouse, lakehouse fundamentals, its characteristics, and the benefits of implementing a data platform using lakehouse architecture. I’ll conclude the chapter with key takeaways to summarize everything we discuss and help you remember the key points while reading the subsequent chapters in this book. This book is for all data practitioners who handle large volumes of data and are responsible for designing and implementing modern data platforms. This book is a comprehensive guide for data architects and can help them understand key considerations, establish design principles, and make critical decisions when implementing a data platform. For data engineers, this book will help them understand key concepts like open table formats, schema evolution, and time travel, which they can leverage when implementing data pipelines. Other data personas, like data analysts and data scientists, will learn about crucial topics like lakehouse data management, data discovery, access control, and sensitive data handling.

Название: Windows 11 For Beginners - 12th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 88
Формат: PDF
Размер: 57,8 MB
Язык: английский

Windows 11 For Beginners - это полное руководство для начинающих пользователей настольных компьютеров и ноутбуков, а также для тех, кто хочет узнать все, что нужно для начала работы с операционной системой Microsoft. Это отдельное руководство написано простым и понятным языком и содержит практические советы и пошаговые иллюстрированные инструкции. В этом руководстве вы узнаете все, что нужно знать о компьютерах и приложениях, разобравшись в функциях операционной системы. С помощью этого неофициального руководства вам не составит труда изучить, освоить и улучшить работу с Windows 11.

Название: Linux For Beginners - 19th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 86
Формат: PDF
Размер: 57,1 MB
Язык: английский

Эта книга содержит подробное введение в основные функции и возможности Linux, включая установку дистрибутива Linux на компьютер, использование командной строки, управление пользователями и файлами, создание сетевых соединений и настройку различных служб. Вы также узнаете, как писать и использовать сценарии Bash. Как введение в программирование для Linux, эта книга будет полезна как профессионалам, так и любителям, предоставляя всю информацию, необходимую для того, чтобы войти в мир программирования для Linux и создавать отличные приложения. В этой книге вы найдете всю информацию, необходимую для того, чтобы войти в мир программирования под Linux и создавать отличные приложения.

Название: Getting Started with Salesforce CRM Analytics: A Beginner's Guide to Building Interactive and Complex Dashboards, 2nd Edition
Автор: Johan Yu
Издательство: Apress
Год: 2024
Страниц: 214
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.0 MB

Dive into the intricate world of salesforce CRM Analytics and harness the power of interactive and complex dashboards. This book will empower you to unlock the full potential of Salesforce CRM Analytics and enhance your ability to generate meaningful insights for strategic decision-making. Developed by Salesforce to transcend the limitations of standard reports and dashboards, CRM Analytics introduces a new platform that requires a fresh perspective for those familiar with the traditional Salesforce platform. Using a hands-on approach, this step-by-step book unravels the complexities of CRM Analytics, guiding you through the process of acquiring data from the Salesforce platform, importing external data like CSV files, and preparing the data for dashboard creation. You’ll also learn to build dashboards from scratch, explore lenses, and delve into the depths of SAQL (Salesforce Analytics Query Language) and binding. CRM Analytics has a steeper learning curve than standard Salesforce reporting. Getting Started with Salesforce CRM Analytics will guide you through the journey of constructing dashboards, from data preparation to the final dashboard creation. IT users getting started with CRM Analytics, Salesforce consultants starting new CRM Analytics projects, and power users familiar with Salesforce reporting and dashboards who want to get up to speed on advanced analytics features.

Название: Intelligent Techniques for Predictive Data Analytics
Автор: Neha Singh, Shilpi Birla, Mohd Dilshad Ansari, Neeraj Kumar Shukla
Издательство: Wiley-IEEE Press
Год: 2024
Страниц: 272
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries. Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and Machine Learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Data mining is the process of discovering meaningful patterns, correlations, and relationships in large datasets using computational algorithms. It involves various steps, including data preprocessing, pattern discovery, and result interpretation, extracting knowledge, and making informed decisions from large and complex datasets. It combines techniques from various domains such as statistics, Machine Learning, Artificial Intelligence, and database systems to explore and analyze structured and unstructured data to gain insights and generate actionable information.

Название: The Golden Age of Data Visualization: How Did We Get Here?
Автор: Kimbal Marriott
Издательство: CRC Press
Год: 2025
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 36.1 MB

We are living in the Golden Age of Data Visualization. The COVID-19 pandemic has demonstrated how we increasingly use data visualizations to make sense of the world. Business analysts fill their presentations with charts, journalists use infographics to engage their readers, we rely on the dials and gauges on our household appliances, and we use mapping apps on our smartphones to find our way. This book explains how and why this has happened. It details the evolution of information graphics, the kinds of graphics at the core of data visualization―maps, diagrams, charts, scientific and medical images―from prehistory to the present day. It explains how the cultural context, production and presentation technologies, and data availability have shaped the history of data visualization. It considers the perceptual and cognitive reasons why data visualization is so effective and explores the little-known world of tactile graphics―raised-line drawings used by people who are blind. The book also investigates the way visualization has shaped our modern world. The European Renaissance and the Scientific Revolution relied on maps and technical and scientific drawings, and graphics influence how we think about abstract concepts like time and social connection. Tableau was one of the first commercially available visual analytics tools. Released in May 2003, Tableau allowed business and government analysts to create an almost endless variety of visualizations by dragging and dropping data fields onto the tool’s main panel. They could effortlessly create standard visualizations like choropleth maps and bar charts or craft their own custom chart. The resulting visualizations were interactive. This book is written for data visualization researchers and professionals and anyone interested in data visualization and the way we use graphics to understand and think about the world.

Название: Privacy in the Age of Innovation: AI Solutions for Information Security
Автор: Ranadeep Reddy Palle, Krishna Chaitanya Rao Kathala
Издательство: Apress
Год: 2024
Страниц: 205
Язык: английский
Формат: pdf (true), epub, azw3, mobi
Размер: 10.1 MB

This book will help you comprehend the impact of Artificial Intelligence (AI) on information security, data privacy, and data security. The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, Machine Learning, and Deep Learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations. In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security. Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security.