George Mount – författare

If you haven''t modernized your data cleaning and reporting processes in Microsoft Excel, you''re missing out on big productivity gains. And if you''re looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.

George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel''s latest features. You''ll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You''ll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration.

Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to:

Build repeatable data cleaning processes for Excel with Power QueryCreate relational data models and analysis measures with Power PivotPull data quickly with dynamic arraysUse AI to uncover patterns and trends from inside ExcelIntegrate Python functionality with Excel for automated analysis and reporting

If you haven''t modernized your data cleaning and reporting processes in Microsoft Excel, you''re missing out on big productivity gains. And if you''re looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.

George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel''s latest features. You''ll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You''ll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration.

Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to:

Build repeatable data cleaning processes for Excel with Power QueryCreate relational data models and analysis measures with Power PivotPull data quickly with dynamic arraysUse AI to uncover patterns and trends from inside ExcelIntegrate Python functionality with Excel for automated analysis and reporting

If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration.Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to:Build repeatable data cleaning processes for Excel with Power QueryCreate relational data models and analysis measures with Power PivotPull data quickly with dynamic arraysUse AI to uncover patterns and trends from inside ExcelIntegrate Python functionality with Excel for automated analysis and reporting

Add to your Excel toolkit by learning to implement advanced AI and automation techniques for data analysis As technology evolves all around us, professionals must keep learning new skills just to keep up with the heightened expectations of our leaders. That's especially true when it comes to artificial intelligence-related advancements in the field of data analysis. In Excel Power Tools: Unlocking the Power of AI, Python, and Power Automate, veteran analytics educator George Mount delivers a practical guide for everyday Excel users seeking to leverage the software's advanced features to import, clean, and analyze data. You'll learn to automate your data analysis and discover how to use power user features like pattern recognition, forecasting, and fuzzy matching. You'll: Develop a solid understanding of how to integrate AI into your work without radically changing the tools you use every dayLearn to use Python to automate routine data tasks and become more productive and efficientFind real-world examples of AI integration that illustrate the simple and accessible concepts discussed in the bookPerfect for professionals in routine reporting roles, including accountants, data analysts, financial analysts, marketing coordinators, controllers, and operations analysts, Excel Power Tools is also a must-read for data science professionals and other technical experts who wish to unlock the full capabilities of Excel.

Data analytics may seem daunting, but if you''re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you''ll be able to conduct exploratory data analysis and hypothesis testing using a programming language.

Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you''ll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.

This practical book guides you through:

Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analyticsFrom Excel to R: Cleanly transfer what you''ve learned about working with data from Excel to RFrom Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

Data analytics may seem daunting, but if you''re an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you''ll be able to conduct exploratory data analysis and hypothesis testing using a programming language.

Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you''ll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.

This practical book guides you through:

Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analyticsFrom Excel to R: Cleanly transfer what you''ve learned about working with data from Excel to RFrom Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language.Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. Author George Mount, founder and CEO of Stringfest Analytics, demonstrates key statistical concepts with spreadsheets, then pivots your existing knowledge about data manipulation into R and Python programming.This practical book guides you through:Foundations of analytics in Excel: Use Excel to test relationships between variables and build compelling demonstrations of important concepts in statistics and analyticsFrom Excel to R: Cleanly transfer what you've learned about working with data from Excel to RFrom Excel to Python: Learn how to pivot your Excel data chops into Python and conduct a complete data analysis

Daten analysieren und Prozesse automatisieren mit Excel- Automatisieren Sie Ihre Datenbereinigung in Excel mit Power Query.- Strukturieren Sie Ihre Daten mit Power Pivot.- Nutzen Sie Python für automatisierte Analysen und Berichterstattung. In diesem Praxisbuch führt George Mount Daten- und Business-Analyst*innen durch zwei leistungsstarke in Excel integrierte Tools für die Datenanalyse: Power Pivot und Power Query.Er zeigt Ihnen, wie Sie mit Power Query Workflows zur Datenbereinigung erstellen und mit Power Pivot relationale Datenmodelle entwerfen. Darüber hinaus lernen Sie nützliche Funktionen wie dynamische Array-Formeln, KI-gestützte Methoden zur Aufdeckung von Trends und Mustern sowie die Integration von Python zur Automatisierung von Analysen und Berichten kennen.George Mount zeigt Ihnen, wie Sie Ihre Excel-Kenntnisse weiter ausbauen und das Programm effektiv für die moderne Datenanalyse nutzen.Das Buch gibt einen klaren Überblick über das volle Potenzial von Excel und hilft Ihnen, auch ohne Power BI oder anderer Zusatzsoftware Daten effektiv aufzubereiten und zu analysieren. Viele Übungen zur Vertiefung des Gelernten runden das Buch ab.Dieses Buch zeigt Ihnen, wie Sie:- wiederholbare Datenbereinigungsprozesse für Excel mit Power Query erstellen- relationale Datenmodelle und Analysen mit Power Pivot entwickeln- Daten schnell mit dynamischen Arrays abrufen- KI nutzen, um Muster und Trends in Excel aufzudecken- Python-Funktionen in Excel für automatisierte Analysen und Berichte integrieren