
Learn to use ChatGPT with Excel to generate and apply formulas for sum and if, and explore functions like left, right, dateif, networkdays, vlookup, sumif, and countif.
Extract email names and apply vlookup in excel with chatgpt to populate staff bonuses and manager data, teaching essential data analysis techniques for organizing your spreadsheets.
Learn how to use sumif and countif in Excel to sum by criteria, count occurrences, and identify or remove duplicates for clean, unique data insights.
Apply ChatGPT to generate Excel formulas for sum, count, countif, sumif, and sumifs on sales in the digital skills department during June.
Explore how to use ChatGPT with Excel to build complex formulas for counting words in a range using substitute, trim, and len, and apply data validation and conditional formatting.
Explore complex Excel functions with ChatGPT, building nested if formulas and logical tests, then automate reporting with VBA macros to generate PDFs.
Integrate ChatGPT into Excel to ask questions in a cell and receive answers on a sheet. Use OpenAI API keys and VBA to automate travel planning and balance sheet analysis.
Discover how ChatGPT acts as an intelligent assistant for data analysis in Excel, guiding formulas, Power Query, VBA, and sample data generation.
Explore how to use ChatGPT with Excel to learn fundamentals like vlookup, power query, and pivot tables, and craft effective prompts using the introduce, describe, and ask pattern.
Explore using ChatGPT with Excel without prompt engineering, focusing on basic prompts. Create custom lists, leverage flash fill, and compare Power Query, Power Pivot, and VBA in tabular outputs.
Utilize ChatGPT to build and validate Excel prompts for retrieving course and section data using index match, including formulas and conditional formatting to highlight results.
Explore how ChatGPT enhances Excel with Power Query, including getting data from the web, loading and transforming queries, and editing Power Query code for tasks like uppercase conversions.
Explore how data-driven decision making relies on Microsoft Excel for organizing, analyzing, and visualizing data, from basics to advanced visualization and scenario analysis.
Explore data preparation and cleaning essentials for business analytics, including duplicates, inconsistencies, missing data, data standardization, and practical steps like auto fit and find and replace.
Learn to clean messy data in Excel using trim and proper, standardize case with lower or upper, paste values, and address missing data with conditional formatting and data validation.
Master data transformation techniques in Excel, including text to columns and delimiter splitting. Learn to handle missing data, remove duplicates, and apply formatting for analysis-ready datasets.
Explore descriptive statistics and data visualization in Excel with World Bank data on GDP, population, and mortality rate. Use the Analysis ToolPak to compute central tendency, dispersion, and visualize distributions.
Compute central-tendency measures—mean, mode, and median—for GDP, population, and mortality, use standard error, and derive quartiles and percentiles in Excel to draw meaningful conclusions.
Explore skewness and kurtosis to understand data shape, apply the SKEW function, and visualize distributions with histograms using bins and charts in Excel.
Learn to create cluster charts in Excel that compare actual sales to targets, with axis titles, data labels, color and layout options, and apply a five-second readability rule.
Learn to perform exploratory data analysis in Excel, using the data analysis tool pack to find patterns and outliers, and summarize data with mean, median, and variance for HR analytics.
Explore pivot tables for exploratory data analysis by calculating average salary per department, formatting as currency, and converting to tabular layouts and pivot charts for clear visuals.
Explore correlation and regression analysis in Excel using scatter plots, trend lines, and r squared value, with the Correl function and the Data Analysis Toolpak for regression.
Explore regression statistics in Excel, including multiple R, R square, and adjusted R square; interpret p-values, alpha thresholds, and the intercept–slope equation to predict outcomes.
Explore time series data in Excel for business analytics, identify trend, noise, and seasonality in quarterly sales, visualize with a line chart, and prepare data for forecasting.
Learn to smooth time series data in Excel by applying a four-quarter moving average and then derive a centered moving average for forecasting.
Explore decomposing time series data in Excel using a centered moving average, extracting seasonal and irregular components, and computing seasonal indices with functions like averageif and vlookup.
Learn how to deseasonalize data, apply regression to estimate trend, and combine the trend with seasonal values to forecast future quarters in Excel, showcasing a practical time series analysis workflow.
Master scenario analysis and sensitivity modeling in Excel using scenario manager and goal seek to explore what-if conditions on a board game sales dataset and reach $100,000.
Learn to create multiple scenarios—best, optimistic, and worst case—for December sales and use Goal Seek to reach a target like $200,000 by adjusting units or prices.
Explore sensitivity analysis and goal seeking to optimize operating profit by testing how price and slippers sold affect revenue, costs, and the best combinations using a data table.
Learn to import and transform data with power query in excel, connecting to multiple sources, cleaning and loading queries, and mastering the query editor.
Automate data transformations in Power Query by recording steps, refreshing with new sources, and importing CSV data into Excel via the query editor.
Explore Excel's Data Analysis ToolPak to perform advanced statistical analyses, including ANOVA single factor, descriptive statistics, correlation, histogram, and regression, with guidance on enabling and interpreting results.
Explore real-world business analytics in excel by building pivot tables to answer key sales questions—zone and city leaders, top distributors, and price range impact—culminating in a dashboard.
Create pivot tables to analyze sales by division, by channel, and by distributor, then build charts (3D bar and donut) and assemble a sales dashboard.
Learn to build interactive dashboards in Excel by using slicers and timeline based on the invoice date, connect to pivot tables via report connections, and export as pdf or workbook.
Learn to use goal seek and solver to reach a $100,000 net income by adjusting quantity sold and price in a cookies business, with constraints and a sensitivity analysis.
Explore sensitivity and scenario analysis in Excel, using what-if analysis with data tables and the choose function to forecast net income across best, base, and worst revenue and cost scenarios.
Explore ethical handling of business data, emphasizing privacy, encryption and access controls, data integrity, and compliance through transparent practices and consent to protect individuals and build trust.
Explore how AI and ML reshape business analytics, enabling predictive insights, real-time decision making, and personalized experiences, while organizations upskill, adopt new tools, and foster data-driven cultures.
Apply a hands-on capstone project to build a coffee sales dashboard, perform raw data cleaning, analysis, and visualization, utilizing the x lookup function and converting data to a table.
Clean data and name tables, then build pivot tables and dashboards to analyze August sales by coffee type, top customers, and country, using timelines and slicers for the capstone.
Explore the basics of excel with a tour of the spreadsheet anatomy, including cells, rows, columns, ranges, sheets, and workbooks, plus essential editing and navigation tips.
Master essential Excel formulas by using the equal sign and operators, copying formulas with drag, formatting as percent, and applying auto sum and average functions through ranges.
Explore essential excel functions such as average, min, max, and count, and learn to drag the fill handle while applying absolute and relative references to compute taxable income.
Master basic Excel formatting, including font styles and sizes, wrap text, merge and center, and switch between currency and accounting formats. Use conditional formatting to highlight data patterns.
Master sorting and filtering data in Excel, including multi-level sorts by worldwide and domestic gross, and create tables with headers, totals, and design options for clear analysis.
Learn how to create charts and graphs in Excel, select data ranges, choose from recommended charts, and customize titles, axis labels, and layout to produce clear, print-ready visuals.
Master data analysis and manipulation in excel by importing csv files, using text to columns, applying data validation, sorting, filtering, and building pivot tables to summarize quantities.
Learn to build and manipulate pivot tables in Excel, arrange data by rows and columns, apply filters and sorts, and create pivot charts for clear data visualization.
Learn to protect workbooks and worksheets, share and collaborate on Excel files in real time, and print or export data as PDF for easy distribution.
Learn to share and collaborate on Excel workbooks using real-time co-authoring, sheet view, and protected sheets while managing permissions, comments, and change tracking.
Master Excel efficiency by practicing Mac shortcuts for creating tables, navigating data, formatting cells, and auto summing, then explore flash fill to quickly pattern and combine names, initials, and emails.
Master efficiency with flash fill for data entry and explore free excel add-ins like qr for office, wikipedia, bing maps, web video player, mini calendar and date picker, and colorizer.
Learn to link data across multiple sheets and apply advanced functions like vlookup, if, and index match. Build dynamic references and avoid hard coding in a practical workbook.
Explore advanced Excel concepts like vlookup, match, index, and if functions, including naming tables, exact versus approximate match, and nested if logic, for robust data lookup and analysis.
Automate repetitive tasks in Excel with macros, recording and running them. Learn to enable the developer tab, save as .xlsm, and format data using text to columns and conditional formatting.
Apply course concepts to build an employee payroll in Excel, using hours worked, hourly wages, currency formatting, overtime, and min/max/average/sum checks.
Master building a grade book in Excel to score tests like financial, philosophy, safety, and drug, calculate percentages, and visualize results with conditional formatting and an OR-based firing rule.
Learn the basics of Microsoft Excel, from the anatomy of a spreadsheet to navigating the ribbon, cells, and ranges. Start with a blank workbook, explore templates, and adapt across versions.
Learn to input data, format, and resize columns; navigate with arrow keys, tab, and enter; edit cells via double-click or the formula bar.
Learn basic Excel formatting: adjust font style and size, apply cell styles and borders, use wrap text, merge and center headings, and convert data to currency or accounting formats.
Master basic formulas in Excel by using operators, the formula bar, and cell references. Learn to print previews, format percentages, and copy formulas with the fill handle to save time.
Learn the difference between formulas and functions in Excel, perform sums with autosum, calculate averages, minimums, maximums, and counts on data ranges, and practice quick autofill techniques.
Create and customize charts in Excel to visually represent data, using the insert tab and recommended charts, edit the chart title and axis titles, adjust layout for print preview.
This course is designed to teach learners how to use CHATGPT for Excel, a powerful tool that can help you automate tasks, analyze data, and create reports in Excel. Through a combination of hands-on exercises, step-by-step tutorials, and interactive discussions, learners will gain a deep understanding of how to use CHATGPT for Excel to streamline their workflow, save time, and work more efficiently.
Throughout the course, learners will explore the features and capabilities of CHATGPT for Excel, from basic navigation and data import/export to advanced features like macros, pivot tables, and formulas. They will learn how to create customized Excel templates that can be used to automate repetitive tasks, as well as how to collaborate with others on shared projects using CHATGPT for Excel.
The course will also focus on developing problem-solving skills, encouraging learners to approach new challenges with creativity and confidence. By the end of the course, learners will have a solid understanding of how to use CHATGPT for Excel to create sophisticated data analyses and reports, and will be able to apply these skills in a wide range of personal and professional contexts.
Whether you are a data analyst, business professional, or simply someone looking to improve your Excel skills, this course will provide you with the knowledge and tools you need to take your Excel game to the next level.