Microsoft Excel for Data & Geospatial Analysts
Microsoft Excel for Data & Geospatial Analysts Microsoft Student Ambassadors
📅 Wednesday, March 25, 2026 ⏰ 7:00 – 9:15 AM PT | 10:00 AM – 12:15 PM EDT | 3:00 – 5:15 PM WET | 4:00 – 6:15 PM WAT | 8:30 – 10:45 PM IST 📍 Virtual Event 💰 Free
About This Event
Excel is already in your workflow. This event shows you how far it actually goes.
Most analysts use a fraction of what Excel can do. This three-session event covers the features that matter most for data and geospatial professionals -- from location intelligence and cloud data connections to AI-assisted analysis and Python -- all inside Excel.
Each session stands on its own. Attend one or attend all three. No GIS background required for Sessions 2 and 3. No advanced Excel experience required for any session.
This event follows directly from the Microsoft Fabric GeoAnalytics Lab (6:00 – 7:00 AM PT). Attending both is recommended but not required.
Who Should Attend
Data analysts and BI professionals ready to go beyond the basics
GIS and geospatial practitioners working with Microsoft tools
Azure practitioners and data engineers who hand off data to analysts
Students and early-career professionals in data, analytics, or geography
Microsoft Student Ambassadors building Excel skills and community
What You Will Learn
How Excel's built-in geography and mapping capabilities support real spatial analysis
How to connect Excel to Azure data sources using Power Query
How Copilot in Excel and Python in Excel transform what analysts can do without leaving the tool
Where Excel fits in a broader Microsoft analytics ecosystem alongside Fabric and Power BI
Agenda
🟠 Session 1 — Geospatial Analysis with Excel: Geography, ArcGIS, and 3D Maps
Alternative Login:
https://teams.microsoft.com/meet/24394743842802?p=02GMpmVIsU3XIfhk1g
Meeting ID: 243 947 438 428 02
Passcode: sC3nV2m3
🕒 7:00 – 7:45 AM PT | 10:00 – 10:45 AM EDT | 3:00 – 3:45 PM WET | 4:00 – 4:45 PM WAT | 8:30 – 9:15 PM IST
Speaker: Krishna vamsi Regulavalasa
Moderator: Philippa Burgess
Topics include:
Excel's Geography data type -- enriching location datasets with coordinates, population, and contextual attributes
ArcGIS for Excel -- bringing Esri mapping capabilities directly into your spreadsheet
Esri Demographics -- adding market and population context to any location dataset
3D Maps -- building spatial visualizations from tabular data without leaving Excel
Where Excel spatial tools connect to Power BI, Fabric, and ArcGIS workflows
Technical takeaway: Understand which Excel features support spatial analysis and how to use them to add location intelligence to existing datasets and workflows.
🔵 Session 2 — Cloud Analytics with Excel: Power Query and Azure Data Sources
Teams link: https://events.teams.microsoft.com/event/52e6653c-e5a3-4422-9d87-50182c2e668c@84c31ca0-ac3b-4eae-ad11-519d80233e6f
Alt Link: https://teams.microsoft.com/meet/24707481771719?p=34swrpFdOR1nzChktO
Meeting ID: 247 074 817 717 19
Passcode: 9dG6C2GT
🕒 7:45 – 8:30 AM PT | 10:45 – 11:30 AM EDT | 3:45 – 4:30 PM WET | 4:45 – 5:30 PM WAT | 9:15 – 10:00 PM IST
Speaker: Philippa Burgess
Topics include:
Power Query fundamentals -- connecting, transforming, and loading data from external sources
Connecting Excel to Azure data sources including Azure SQL, Blob Storage, and Data Lake
Structuring data models that support analysis and reporting
Refresh strategies and automation for analyst-ready datasets
How Excel fits into a broader Azure data workflow from pipeline to insight
Technical takeaway: Learn how to connect Excel to Azure data sources using Power Query and build analyst-ready datasets that stay current without manual effort.
🟢 Session 3 — Modern Data Work with Excel: Dynamic Arrays, Copilot, and Python
Alternative Login:
https://teams.microsoft.com/meet/23795710104439?p=rpYP2lyQIsdiVDvUGi
Meeting ID: 237 957 101 044 39
Passcode: 8pi2Pr7c
🕒 8:30 – 9:15 AM PT | 11:30 AM – 12:15 PM EDT | 4:30 – 5:15 PM WET | 5:30 – 6:15 PM WAT | 10:00 – 10:45 PM IST
Speaker: Midhuna Mohanraj
Moderator: Philippa Burgess
Topics include:
Dynamic arrays -- FILTER, UNIQUE, SORT, SEQUENCE and why they change how analysts work
Copilot in Excel -- formula generation, data cleaning, and natural language queries on real datasets
Python in Excel -- running Python directly in the spreadsheet for descriptive and predictive analysis
The Anaconda integration and what it means for analysts who want more than formulas
Practical boundaries -- when Excel is enough and when to move to Fabric, Power BI, or ArcGIS
Technical takeaway: Understand how dynamic arrays, Copilot, and Python expand what Excel can do -- and how to start using these features in real analyst workflows today.
Why This Matters
Excel is not a legacy tool. It is an active, expanding analytics environment that now includes AI assistance, Python execution, cloud connectivity, and spatial intelligence.
This event meets you where you are -- in the tool you already use -- and shows you where it can take you.
Host and Moderator: Philippa Burgess, Microsoft Learn Student Ambassador | Gold
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You are also invited to join the 1-hour lab which immediately precedes this event
Microsoft Fabric GeoAnalytics 1-Hour Lab: Spatial Thinking & Application https://luma.com/n6fyjvue