BUILD YOUR ANALYTICS BOOKSHELF
Choose the book that fits your next step
Explore George Mount’s books on modern Excel, analytics, and Python. Each book page includes details, resources, and purchasing information.
O’REILLY · 2024
Modern Data Analytics in Excel
For Excel users who want a more capable analysis and reporting toolkit.
Explore Power Query, Power Pivot, and the tools that turn repeated spreadsheet work into a more dependable process.
O’REILLY · 2021
Advancing into Analytics
For spreadsheet users ready to build a foundation in analytics and programming.
Move from statistical thinking in Excel into R and Python, with practical examples and companion files.
PACKT · FORTHCOMING
Python in Excel for Data Analytics
For analysts who want to use Python inside the workbook environment they already know.
Explore data preparation, visualization, statistical analysis, and modeling. The book page has development updates and pre-order information.
Which book is right for you?
Excel keeps changing, and each of my books tackles a different part of the analytics journey. Choose the goal closest to yours to find a good starting point.
What would you most like to do next?
Your starting point · Statistical foundations
Advancing into Analytics
If you want a stronger grasp of statistical thinking and an introduction to analytical programming, start here. You’ll explore data analysis in Excel, then take your first steps with Python and R. This is the most theory-focused of the three books, with practical examples to put the ideas to work.
Technology context: Published in 2021, it uses Python and R outside Excel. Some software details have aged, but the statistical foundations remain useful.
Your starting point · Excel workflows and BI
Modern Data Analytics in Excel
If your next challenge is cleaning recurring data, connecting tables, or building reports you can refresh, start here. Power Query and Power Pivot are the main event, with an introduction to dynamic arrays and shorter explorations of AI and Python.
Technology context: Published in 2024, it reflects an earlier stage of Excel’s AI and Python tools. It covers neither Copilot nor the built-in Python in Excel feature.
Your starting point · Data science in the workbook
Python in Excel for Data Analytics
If you want to use Python to tackle analyses that are difficult with standard spreadsheet tools, start here. You’ll work with Python inside Excel, going deeper into visualization, time series, text analysis, and other data science techniques than in Advancing into Analytics.
Technology context: This book centers on the built-in Python in Excel feature. Its focus is learning Python for analysis, rather than learning AI or Copilot.
Bring the ideas into your team’s work
Pair independent reading with guided practice in a private workshop or multi-session program.