LEADER 02643nam 22003733 450 001 9910915698803321 005 20241015073345.0 010 $a9789391246709$b(ebook) 035 $a(MiAaPQ)EBC30786188 035 $a(CKB)28495818400041 035 $a(Au-PeEL)EBL30786188 035 $a(EXLCZ)9928495818400041 100 $a20231016d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Analytics with Power BI and Excel $eLearn Powerful Visualization and Data Analysis Techniques Using Microsoft BI Tools along with Python and R 205 $a1st ed. 210 1$aDelhi :$cOrange Education PVT Ltd,$d2023. 210 4$dİ2023. 215 $a1 online resource (398 pages) 311 08$aPrint version: Dejan Sarka, Jernej Rihar Advanced Analytics with Power BI and Excel: Learn Powerful Visualization and Data Analysis Techniques Using Microsoft BI Tools along with Python and R Delhi : Orange Education PVT Ltd, c2023 330 $aIn 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).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. 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. 606 $aInformation visualization 615 0$aInformation visualization. 700 $aDejan Sarka$b Jernej Rihar$01778955 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910915698803321 996 $aAdvanced Analytics with Power BI and Excel$94302202 997 $aUNINA