9Natree

Mastering Microsoft Power BI (Greg Deckler)

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- Interesting Topics:
- Planning Power BI Solutions as Connected Business Intelligence Systems
- Data Preparation with Power Query M and Deliberate Connectivity Choices
- Scalable Semantic Models, DAX Measures, and Security Roles
- Report Design, Advanced Visuals, and Mobile Analytical Communication
- Enterprise Administration, Content Distribution, and Power BI Premium Scale

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Mastering Microsoft Power BI, Second Edition, by Greg Deckler and Brett Powell is a technical business intelligence guide for readers who want to design, develop, publish, and administer substantial Power BI solutions. Published by Packt in 2022, the 712 page book is positioned beyond an introductory tour of charts and dashboards. It follows the practical lifecycle of a Power BI project: planning a solution, preparing and connecting data, transforming it with Power Query M, modeling it for analysis, writing DAX, designing reports, and managing distribution and governance. The authors also cover capabilities that matter when Power BI moves from an individual desktop tool to an organizational platform, including gateways, workspaces, apps, deployment pipelines, paginated reports, and Premium capacity. Its central purpose is to connect technical implementation with usable analytical communication. Rather than treating visualization as an isolated final step, the book presents reliable data preparation, sound semantic models, security, and operational administration as prerequisites for trustworthy interactive insight. It is therefore best understood as an end to end professional reference and learning guide for Power BI practitioners.

Business Intelligence for Dummies (Swain Scheps)

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- Interesting Topics:
- Business intelligence as a decision support environment
- Reporting, querying, OLAP, and dashboards serve different user needs
- BI strategy and architecture must precede isolated tool purchases
- User requirements and human factors determine whether BI is adopted
- Implementation continues through maintenance, risk management, and enhancement

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Business Intelligence for Dummies by Swain Scheps is an introductory business and technology guide to business intelligence, or BI. First published in the late 2000s, it explains how organizations can turn operational data into information that supports decisions about customers, products, performance, and markets. Rather than treating BI as a single software product, the book presents it as an environment that links data collection, storage, analysis, reporting, and organizational processes. Its coverage ranges from basic reporting and querying to online analytical processing, dashboards, data warehouses, project planning, requirements gathering, architecture, vendors, and ongoing maintenance. The Dummies format makes the material accessible to business owners, managers, analysts, and technical participants who need a shared vocabulary but may not have deep experience with dimensional modeling or enterprise data systems. Scheps focuses on the practical challenge behind BI: obtaining trustworthy, relevant information and presenting it in a form people can use. The result is a broad primer on planning and implementing BI, not a narrowly technical manual for a particular platform.

Data Visualization with Microsoft Power BI (Alex Kolokolov)

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- Interesting Topics:
- Chart Choice Begins With the Business Question, Not the Visual Effect
- Dashboard Design Is Treated as a Communication System
- Trusted Advanced Visuals Extend Reporting When Their Data Requirements Fit
- Risky Visuals Require a Test of Reader Comprehension
- Power BI Instruction Is Combined With Data Preparation and Reproducible Practice

- Read more: https://english.9natree.com/read/1098152786/


Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards is a practical guide to business reporting and dashboard design by Alex Kolokolov and Maxim Zelensky. Rather than treating Power BI as merely a software interface, the book connects chart selection, visual clarity, data preparation, and communication with decision makers. Its purpose is to help readers turn business data into reports that can be understood quickly and used responsibly. The material is organized around three groups of visuals: classic charts used in most reports, advanced visuals with established business applications, and more visually striking options that can create confusion when used without care. Alongside instruction for creating visuals in Power BI, it addresses dashboard composition, interactions, labeling, and common design mistakes. The book is aimed at analysts as well as finance, sales, and marketing professionals who may not have a technical background. Step by step guidance, examples, and exercises make it accessible to newcomers, while the coverage of AppSource visuals and advanced chart requirements gives experienced Power BI users practical material for improving existing reports.

Microsoft Office 365 Bible for Beginners (John Ellis)

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- Interesting Topics:
- A suite-wide introduction rather than a single-application manual
- Step-by-step instruction designed for first-time Office users
- Word, Excel, and PowerPoint as the core creation tools
- Outlook, OneNote, OneDrive, and Teams for organizing work and collaboration
- Inclusion of Access and Publisher broadens the view of Office capabilities

- Read more: https://english.9natree.com/read/1915825261/


Microsoft Office 365 Bible for Beginners: Learn from Scratch and Master All Office Suite Software is a broad introductory manual by John Ellis for people seeking practical familiarity with Microsoft 365 applications. Published in 2025, the book is presented as a multi-part, step-by-step guide rather than a narrowly focused reference for one program. Its stated coverage includes Word, Excel, PowerPoint, Outlook, Access, OneNote, OneDrive, Teams, and Publisher. The central purpose is to help novices move from isolated, basic use of office software toward a more connected understanding of a productivity suite. This matters because the programs serve different but overlapping functions: creating documents, analyzing information, communicating, storing files, organizing notes, managing email, and collaborating. Based on the available descriptions, the book emphasizes accessible explanations and practical orientation over specialist technical depth. It therefore fits the beginner training genre, where readers need a map of the software ecosystem as well as guidance for using individual applications.

Microsoft Excel Data Analysis and Business Modeling (Wayne Winston)

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- Interesting Topics:
- Building an analytical workflow from raw data to business evidence
- Using modern Excel formulas and data types to create reusable models
- Forecasting and statistical analysis for evidence-based prediction
- Optimization with Solver and simulation under business uncertainty
- Relational data modeling and automation inside the Excel environment

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Microsoft Excel Data Analysis and Business Modeling, covering Office 2021 and Microsoft 365, is a large-scale practical reference by Wayne Winston for using Excel as a business analytics and decision-modeling environment. Rather than treating spreadsheets chiefly as tools for formatting reports or performing isolated calculations, the book approaches them as systems for importing data, structuring evidence, testing assumptions, forecasting outcomes, and selecting among alternatives. Its scenario-based format connects Excel techniques to recognizable analytical tasks in finance, operations, marketing, and other business settings. Coverage ranges from PivotTables, charts, and descriptive statistics to Power Query, Power Pivot, regression, forecasting, Solver optimization, probability, and Monte Carlo simulation. It also incorporates newer Microsoft 365 capabilities, including dynamic arrays, XLOOKUP, LAMBDA, and linked data types. Winston, an operations-research educator, emphasizes applied problem solving over a purely feature-by-feature software tour. The result is designed for readers who already understand core spreadsheet use and want to develop the analytical judgment and technical range needed to turn raw business data into defensible decisions.

Tidy First?: A Personal Exercise in Empirical Software Design (Kent Beck)

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- Interesting Topics:
- Tidyings Separate Structural Improvement from Behavioral Change
- Small Reversible Moves Make Large Changes Safer
- The Question of When to Tidy Has No Automatic Answer
- Coupling and Cohesion Explain Why Local Code Shape Matters
- Optionality and Time Value Connect Design Work to Economics

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Tidy First?: A Personal Exercise in Empirical Software Design is a concise software-development book by Kent Beck, widely known for his work on Extreme Programming, patterns, and test-driven development. It examines a recurring practical decision: when a programmer faces a requested behavior change in awkward code, should the code structure be improved before the feature or fix is implemented? Beck calls these small structural improvements tidyings. They preserve behavior while making code easier to read, navigate, and alter. Rather than presenting a universal cleanup rule, the book treats the decision as contextual and empirical. Its early sections catalog modest, reversible moves such as clarifying names, separating code into smaller units, and removing unnecessary elements. Later sections address how to manage these changes, including their relationship to delivery work and their tendency to expand beyond the original need. The final theoretical material relates design choices to coupling, cohesion, economic value, and options. The result is both a practical guide to everyday code modification and an argument for treating software design as ongoing judgment under uncertainty.

The Project Management Blueprint (Franklin Publications)

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- Interesting Topics:
- A Connected Blueprint Instead of Isolated Project Management Concepts
- The Ten-Step Beginner Guide Turns Project Work into Repeatable Actions
- Five Core Pillars Frame the Conditions for Reliable Delivery
- Proactive Risk Management Shifts Attention from Crisis Response to Early Warning
- Leadership Skills Treat Team Performance as a Project Control, Not a Soft Add-On

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The Project Management Blueprint by Franklin Publications is an introductory professional guide for people who need to organize and lead projects without extensive formal training. Its stated purpose is to make project management less intimidating by presenting the discipline as a connected, step-by-step system rather than a collection of isolated terms and techniques. The book is aimed at new project managers, unofficial project leads, entrepreneurs, and practitioners in fields such as construction, software, and healthcare. Available descriptions identify practical components including a 10-step beginner guide, five core pillars of project success, a project-management definition reference, a cheat sheet, risk-management guidance, team-building advice, and leadership material. The emphasis is therefore not on a specialized certification curriculum or a technical methodology for one industry. Instead, it offers an accessible operational foundation: clarify what must be delivered, coordinate people and work, anticipate problems, and maintain progress amid changing requirements. Its central value lies in converting a broad field into a usable starting framework for readers who must quickly apply basic project-management discipline.

Master Your Data with Power Query in Excel and Power BI (Miguel Escobar)

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- Interesting Topics:
- Power Query as a Reusable Data Preparation Workflow
- Shared Power Query Skills Across Excel and Power BI
- Combining and Reshaping Data Through Joins and Tabular Patterns
- Using M Language and Custom Functions Beyond the Interface
- Performance, Evaluation, and Privacy Constraints in Real Queries

- Read more: https://english.9natree.com/read/1615470581/


Master Your Data with Power Query in Excel and Power BI, by Miguel Escobar and Ken Puls, is a practical technical guide to Power Query, Microsoft’s data extraction and transformation environment in Excel and Power BI. Positioned as the second edition of M is for Data Monkey, it addresses a familiar operational problem: recurring data preparation performed through manual copying, cleaning, reshaping, and combining. The book explains how repeatable queries can replace those fragile procedures and be refreshed when source data changes. Its scope begins with core interface skills and query organization, then moves into joins, transformation patterns, error handling, and the M language that underlies the graphical editor. It also examines engine-level subjects such as query folding, lazy evaluation, privacy settings, and Formula.Firewall errors. The material is designed for both Excel users adopting Power Query for the first time and Power BI users who need more dependable data-preparation workflows. Downloadable practice files, completed Excel and Power BI examples, and access to an Azure SQL database reinforce its applied, hands-on orientation.

SUPER-EASY EXCEL GUIDE (Egbert Bell)

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- Interesting Topics:
- A step-by-step learning path reduces the operational barriers of Excel
- Clear examples make spreadsheet commands observable and testable
- Smart shortcuts address the speed gap between knowing a task and performing it efficiently
- Cheat sheets support recall after the initial lesson has ended
- Real-world professional projects connect individual features to usable spreadsheet outcomes

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SUPER-EASY EXCEL GUIDE by Egbert Bell is positioned as a practical instructional book for learning Microsoft Excel through a sequential, example-led approach. The available metadata identifies its central promises clearly: a complete step-by-step path, clear examples, smart shortcuts, cheat sheets, and real-world professional projects. These elements place it in the applied software-skills genre rather than in a theoretical discussion of spreadsheets or data analysis. Its likely purpose is to reduce the initial complexity of Excel by organizing common tasks into manageable procedures that readers can reproduce in a workbook. The title also suggests an emphasis on speed and usability: shortcuts and cheat sheets are intended to support recall after a lesson, while projects connect isolated commands to workplace-oriented outcomes. Because detailed public information about the book contents is limited, its analysis must remain anchored to this stated scope rather than attributing unverified chapters, formulas, or techniques to it. On that basis, the guide appears designed as a hands-on reference for readers seeking a structured route from basic spreadsheet use toward more confident everyday application.

Learn Power BI (Greg Deckler)

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- Interesting Topics:
- Business intelligence is presented as an end-to-end project discipline
- Data ingestion, cleansing, and transformation precede meaningful reporting
- Visualizations, reports, and dashboards are treated as distinct communication tools
- Deployment, adoption, and governance extend learning beyond desktop authoring
- The broader Power BI ecosystem is positioned as a route to continuing capability

- Read more: https://english.9natree.com/read/B0BRYJZKP6/


Learn Power BI, Second Edition, by Greg Deckler is a beginner-oriented technical guide to using Microsoft Power BI for real-world business intelligence work. Rather than treating report design as an isolated software skill, the book frames Power BI within the full lifecycle of a BI project: understanding business needs, acquiring data, preparing it, modeling it, presenting findings, and supporting organizational use. Its step-by-step approach is aimed especially at readers who are new to BI rather than experienced analytics specialists. Deckler combines practical instruction on data ingestion, cleansing, transformation, visualizations, reports, and dashboards with broader discussion of deployment, adoption, and governance. This scope reflects an important premise of the book: useful analysis depends on both sound technical preparation and a credible process for sharing and maintaining results. The second edition updates the learning path for changes to the Power BI environment while retaining emphasis on durable BI practices. It is therefore positioned as an accessible foundation for people seeking to contribute more effectively to data-informed decisions or begin developing professional BI capabilities.