Data Analysis With Microsoft Power BI - Non Fiction - Paperback

Title:
Data Analysis with Microsoft Power BI

Condition: BRAND NEW
Format: Paperback

Overview:
Data Analysis with Microsoft Power BI is a hands-on, practical guide designed for professionals who want to turn raw data into clear, actionable business insights. The book walks you through the end-to-end analytics workflow in Power BI: connecting data sources, cleaning and shaping data, building robust data models, and designing visually compelling, interactive dashboards that support fast, informed decision-making. Written for both aspiring analysts and experienced practitioners, it emphasizes a repeatable, scalable approach to BI—so today’s dashboard becomes tomorrow’s strategic asset. You’ll learn how to craft precise calculations with DAX, create responsive reports, and optimize data models for performance and maintainability. The guide also unlocks Power BI’s integration capabilities, showing how R and Python can extend analyses beyond standard visuals, enabling predictive insights and advanced analytics within the Power BI environment. With clear, step-by-step tutorials and real-world business scenarios—sales analytics, customer behavior, and KPI tracking—this paperback equips you to deliver trustworthy insights, faster. It’s a practical companion for practical results, whether you’re building a personal portfolio of dashboards or deploying enterprise-wide BI. Publisher’s note: products from third-party sellers may have quality or entitlement variances, so ensure you buy from reputable sources for authenticity and full access to included entitlements.

What Makes This Book Stand Out:
This book stands out for its hands-on, project-led approach to Power BI that goes beyond theory. You’ll move from data ingestion to meaningful storytelling in a structured, repeatable workflow, with explicit guidance on data modeling and governance to prevent common BI pitfalls. The author foregrounds practical decision-making: how to set up clear dimensions and measures, how to design dashboards that reveal patterns at a glance, and how to validate analyses against real business questions. Integrating R and Python expands what Power BI can do, letting you apply statistical tests, machine learning ideas, and custom visuals directly inside your reports. The inclusion of DAX essentials—calculated columns, measures, and time-intelligence functions—means you gain robust, reusable analytics that scale as datasets grow. This is not a surface-level intro; it’s a mentor-led path to confident, repeatable BI that you can apply immediately to daily tasks and strategic initiatives alike.

Who This Book Is Perfect For:
If you’re a data analyst, BI professional, or student stepping into the world of modern business intelligence, this book is for you. It’s equally valuable for Excel power users transitioning to Power BI, managers who want clearer dashboards to guide decisions, and teachers or tutors seeking a practical, up-to-date resource for data visualization courses. Whether your focus is operational dashboards, sales and marketing analytics, or customer analytics, Data Analysis with Microsoft Power BI provides a clear, actionable roadmap. It’s also a strong gift for graduates starting in data roles or professionals looking to elevate their Power BI skills to the next level.

Key Highlights:

• Hands-on training from data ingestion to interactive dashboards
• Thorough grounding in data modeling and DAX for robust analytics
• Integration of R and Python within Power BI for extended analytics
• Step-by-step exercises with real-world business scenarios
• Practical guidance on visualization design and storytelling with data
• Strategies for scalable, maintainable BI projects
• Clear, accessible explanations suitable for beginners and experienced users
• Focus on delivering trustworthy insights to support decision-making

About the Author:
This title is authored by a seasoned data analytics expert with deep Power BI experience and a track record of helping professionals translate data into actionable business insights. The author blends practical BI implementation knowledge with a clear, approachable writing style, making complex concepts like data modeling, DAX, and data visualization approachable for a broad audience. Readers can expect guidance grounded in real-world BI environments, with attention to best practices in data governance, performance optimization, and the art of communicating data-driven narratives. The author’s emphasis on actionable steps, combined with accessible explanations, makes this book a reliable companion for daily BI tasks and long-term career growth in data analytics.

Why You’ll Love This Book:
Data Analysis with Microsoft Power BI is designed to be more than a reference—it’s a practical companion you’ll reach for again and again. It demystifies Power BI’s most valuable features and shows you how to apply them to tangible business questions, from revenue forecasting to operational monitoring. The blend of DAX, R, and Python within a single BI workflow is particularly appealing for analysts seeking deeper analytical capabilities without abandoning Power BI’s visualization strengths. The book’s structure supports quick wins for busy professionals while offering depth for long-term skill development, making it an essential addition to any BI library and a smart investment for teams aiming to modernize their data analysis capabilities.

Please Note: The individual books included in this listing will be dispatched as per the original UK ISBN and UK edition cover image shown in the image.