Most people use about 10% of what Excel can do. Gabriel digs into the functions that actually save time — VLOOKUP, INDEX/MATCH, pivot tables, conditional formatting — and shows students how to structure spreadsheets so the data answers questions instead of just sitting in rows.

A finance concentration means Dawn spent years inside Excel building financial models, running sensitivity analyses, and wrangling messy datasets with VLOOKUP, pivot tables, and conditional formatting. She walks students through both the mechanics of formulas and the logic behind choosing the right tool for a given task.

Reed's economics degree from Carleton College meant constant spreadsheet work — building econometric models, running regressions on datasets, and formatting results for presentation. He teaches Excel by connecting functions like INDEX-MATCH, data validation, and chart building to the kind of analytical tasks students encounter in econ, finance, and business courses.

Spreadsheets become genuinely powerful once you move past basic formulas into VLOOKUP, pivot tables, conditional formatting, and macro automation. Keenan's computer science background at Penn means he understands the logic underneath Excel — why an INDEX-MATCH works where VLOOKUP fails, or how to structure data so a pivot table actually gives you useful answers.

Most people use about 10% of what Excel can do. Rhamy unpacks the features that actually save time — VLOOKUP, pivot tables, conditional formatting, and basic macros — tailoring each session to whether a student needs Excel for a class project, a business case, or data cleanup.

Ingrid's biomedical engineering coursework and undergraduate research at Northwestern required heavy data organization in Excel, from lab datasets to statistical analysis. She teaches practical skills like pivot tables, VLOOKUP, conditional formatting, and building clean spreadsheets that make data easy to interpret and present.

Public health research runs on spreadsheets — Joseph uses Excel daily for data cleaning, pivot tables, and statistical analysis as part of his master's work at Yale. He walks students through everything from basic formulas and conditional formatting to VLOOKUP and chart building, grounding each skill in practical tasks rather than abstract exercises.

Most people learn Excel by Googling one formula at a time, which leaves huge gaps in how they think about spreadsheets. Brian tackles Excel systematically — VLOOKUP vs. INDEX/MATCH, pivot tables, conditional formatting, and building financial models — drawing on the quantitative modeling he did throughout his Economics and CS studies at Caltech.

Engineering coursework at Duke means Eric lives in spreadsheets — building data models, running regression analyses, and automating repetitive calculations with formulas like VLOOKUP, INDEX-MATCH, and conditional arrays. He teaches Excel as a problem-solving tool rather than a grid of cells, walking students through pivot tables, data visualization, and the logic behind nested functions.

Between research data and engineering coursework, Annie lives in spreadsheets — building formulas, creating pivot tables, and using VLOOKUP to organize large datasets from her cancer immunotherapy lab. She walks students through Excel's logic step by step, whether they need to learn basic cell references or more advanced tools like conditional formatting and data visualization.

Most people use about 10% of what Excel can do. Gabriel digs into the functions that actually save time — VLOOKUP, INDEX/MATCH, pivot tables, conditional formatting — and shows students how to structure spreadsheets so the data answers questions instead of just sitting in rows.

A finance concentration means Dawn spent years inside Excel building financial models, running sensitivity analyses, and wrangling messy datasets with VLOOKUP, pivot tables, and conditional formatting. She walks students through both the mechanics of formulas and the logic behind choosing the right tool for a given task.

Reed's economics degree from Carleton College meant constant spreadsheet work — building econometric models, running regressions on datasets, and formatting results for presentation. He teaches Excel by connecting functions like INDEX-MATCH, data validation, and chart building to the kind of analytical tasks students encounter in econ, finance, and business courses.

Spreadsheets become genuinely powerful once you move past basic formulas into VLOOKUP, pivot tables, conditional formatting, and macro automation. Keenan's computer science background at Penn means he understands the logic underneath Excel — why an INDEX-MATCH works where VLOOKUP fails, or how to structure data so a pivot table actually gives you useful answers.

Most people use about 10% of what Excel can do. Rhamy unpacks the features that actually save time — VLOOKUP, pivot tables, conditional formatting, and basic macros — tailoring each session to whether a student needs Excel for a class project, a business case, or data cleanup.

Ingrid's biomedical engineering coursework and undergraduate research at Northwestern required heavy data organization in Excel, from lab datasets to statistical analysis. She teaches practical skills like pivot tables, VLOOKUP, conditional formatting, and building clean spreadsheets that make data easy to interpret and present.

Public health research runs on spreadsheets — Joseph uses Excel daily for data cleaning, pivot tables, and statistical analysis as part of his master's work at Yale. He walks students through everything from basic formulas and conditional formatting to VLOOKUP and chart building, grounding each skill in practical tasks rather than abstract exercises.

Most people learn Excel by Googling one formula at a time, which leaves huge gaps in how they think about spreadsheets. Brian tackles Excel systematically — VLOOKUP vs. INDEX/MATCH, pivot tables, conditional formatting, and building financial models — drawing on the quantitative modeling he did throughout his Economics and CS studies at Caltech.

Engineering coursework at Duke means Eric lives in spreadsheets — building data models, running regression analyses, and automating repetitive calculations with formulas like VLOOKUP, INDEX-MATCH, and conditional arrays. He teaches Excel as a problem-solving tool rather than a grid of cells, walking students through pivot tables, data visualization, and the logic behind nested functions.

Between research data and engineering coursework, Annie lives in spreadsheets — building formulas, creating pivot tables, and using VLOOKUP to organize large datasets from her cancer immunotherapy lab. She walks students through Excel's logic step by step, whether they need to learn basic cell references or more advanced tools like conditional formatting and data visualization.