Microsoft Copilot with Excel: Complete Mastery - 2026

Add formula columns in Excel with Copilot to generate insights like profit margin, average customer spend, and profit per customer, with Copilot suggesting and inserting the formulas.

Use Copilot to work with text in Excel data by extracting usernames from email columns, creating new columns, and clubbing data together, saving time on large datasets.

Master date calculations in Excel with Copilot, computing ages from birth dates and auto-generating an age column with the formulas and explanations used.

Apply conditional statements in Excel with Copilot to create a rating column that classifies profit margins into exceeds, meets, or below expectations, guiding marketing priorities.

apply formula based conditional formatting with Copilot in Excel to identify brands with customers over 100 and net profit over 100k, and highlight the winning data.

Explore how to use Copilot to manage Excel data by hiding columns and aligning formats for consistent, symmetric presentation, boosting productivity with data formatting and visibility controls.

Learn how to use Copilot to apply the average function to a data set, add an average expenses column, verify results by highlighting, and explore other Excel functions.

Apply min and max functions with Copilot to generate two new columns in an Excel data sheet, using previous references for accurate results.

Optimize Excel workflows with Copilot by center aligning the Order ID, splitting customer name into first and last, deleting the redundant customer name column, and auto fitting the product column.

Use Copilot to apply conditional formatting in an Excel dataset, sorting products alphabetically and highlighting stock on hand above 50 and below 40, with status color-coding.

Use Copilot in Excel to optimize data workflows by formatting currency, adding orders, calculating total sales, and highlighting remaining stock, pending orders, and sales above 1000 for actionable insights.

Use Copilot with Excel to analyze sales data, format currency, compute total sales in Q1, calculate target achievement by representative, and perform region pivots for insights.

Evaluate copilot performance in Excel by filtering and sorting revenue, identify top three and bottom three reps, and use conditional formatting (color scale) and bar charts for regional sales insights.

Master basic navigation of the Excel interface, including worksheets, ribbon, formulas, data view, and notes, then connect Copilot to analyze data, apply filters, and add comments for insights.

Watch how Copilot converts data types in an Excel data set, turning the revenue column into dollar currency and replacing periods with commas to reflect millions, boosting productivity.

Explore how to work with different data types in a dataset using Copilot, format cells for currency or year of release, and unwrap the movie title and the director column.

Learn basic arithmetic in Excel, including percentage ownership, fair market value, and return on investment with formulas. Use Copilot to compute totals and ROI percentages from a dataset.

Apply Excel logical functions with Copilot to evaluate sales data, determine target met, award bonuses when target met and performance exceeds 90%, and flag needs improvement using if, and, or.

Learn to use conditional data and time functions in Excel with Copilot to calculate date differences, count asthma and diabetes cases, and sum dialysis-related bills using countif and sumif.

Explore how nested functions in Excel, guided by Copilot, perform complex calculations with countifs and sumifs for multiple conditions like migraine diagnoses and January 2025 admissions.

Leverage data validation in Excel, guided by Microsoft Copilot, to enforce whole-number ranges (0–500) and supplier dropdown lists, ensuring accurate, rule-based data entry in your datasets.

Master fast data entry in Excel by applying predefined formats, auto-filling product codes with control E, adding new rows with control D, and validating stock levels with data validation.

Format data in Excel with copilot prompts to apply currency formatting to amount column, bold header with blue, add borders, convert expenses to negative, sum signed amounts, and highlight thresholds.

Format market value and purchase price as currency, apply conditional formatting and data bars to rental income, and use Copilot to highlight bottom five market values and format squared meters.

Create pivot tables in Excel to analyze data and gain quick insights by summarizing market value by property type, using Co-pilot to automate the setup.

Engineer precise prompts for Excel Copilot by defining what to do, specifying context and format, setting clear output goals, and providing concrete details to avoid ambiguity.

Write basic prompts to guide Copilot in Excel to analyze a dataset, generate charts, summarize by batch ID, compare defect types, detect trends, and create performance reports.

Learn to write effective prompts for Excel Copilot by analyzing a February customer feedback data set, computing average ratings, and classifying sentiment as positive, neutral, or negative.

Optimize prompts to elicit better results from Excel Copilot, analyze datasets to identify behind-schedule tasks by rack status, and refine prompts with context to reveal dependencies and owners.

Evaluate prompt performance using a dataset by iterating prompts to generate and validate outputs, identify missing dependencies and overlaps, and build a co-pilot aided Gantt chart with real-time updates.

Learn to fix data errors in Excel using Copilot, correcting headers, removing duplicate student IDs, and calculating averages across score columns.

Identify common data errors across multiple data sets, such as unclear ids, ambiguous items, missing currency, and mixed date formats, then fix them before analysis.

Identify and fix dataset errors before analysis by cleaning data, renaming headers (product ID, price, date, notes), removing irrelevant columns, and standardizing date and currency with Copilot.

Transpose data with copilot to analyze trends by turning rows into columns for large datasets. Provide manual formulas and pivot table steps when copilot cannot perform the task.