Advanced Analytics with Power BI and Excel

<p><strong style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>Empowering You to Master Business Intelligence and Solve Real-world Analytical Problems.</strong></p><p><br></p><p><strong style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>DESCRIPTION</strong></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>In today's analytics landscape proficiency in Excel and Power BI is practically a prerequisite for a successful career. This book provides a concise yet comprehensive exploration of these foundational elements of modern Business Intelligence (BI).</span></p><p><br></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>Comprising ten chapters this book covers the entire development journey of a Power BI analytical solution spanning from data modeling and preparation to report creation publication and dashboard and app deployment. It offers insights into security measures and performance optimization ensuring a well-rounded understanding of the BI ecosystem. Furthermore it delves into advanced topics such as leveraging data science algorithms within reports offering readers an extensive learning experience. </span></p><p><br></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>The book takes a holistic approach to these technologies offering a contrast to the narrow perspectives often adopted by contemporary BI professionals who rely solely on a single tool or language. The book allows data enrichment through calculations that can be achieved using various languages including SQL queries at the source Power Query Formula Language M Python R and DAX. By the end of this book you will master these options but be able to also weigh their pros and cons to make informed decisions.</span></p><p><br></p><p><strong style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>TABLE OF CONTENTS </strong></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>1. Introducing the Theoretical Background for Democratizing Analytics</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>2. Acquiring and transforming data from multiple sources</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>3. Power Query Transformations and Formula Language (M) Overview</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>4. Building a simple analytical solution with Power Pivot in Excel</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>5. Enhancing the model and business analysis with DAX</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>6. Creating reports in Power BI Desktop</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>7. Using the Power BI Service</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>8. Data Science in Power BI </span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>9. Optimizing Power BI models and reports</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>10. Deploying Maintaining and Securing Power BI Assets</span></p><p><span style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>       </span><strong style=background-color: rgba(0 0 0 0); color: rgba(0 0 0 1)>Index</strong></p>