Learning outcome
Use AI to clean data, explain formulas, create summaries, build charts, and check analysis without trusting unverified numbers.
Advanced beginner course
Use AI to clean data, explain formulas, create summaries, build charts, and check analysis without trusting unverified numbers.
Use AI to clean data, explain formulas, create summaries, build charts, and check analysis without trusting unverified numbers.
Create a small data report with cleaned table, formulas, chart recommendation, insight summary, and verification notes.
Do not paste passwords, payment data, private IDs, customer records, or illegal requests into AI tools.
Course syllabus
Module 1
1. Learn
This lesson teaches one practical AI habit: Ask AI for formulas, explanations, and troubleshooting while checking results manually. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Generate formulas for lookup, totals, categories, and date cleanup. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Formula prompt pack.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Ask AI for formulas, explanations, and troubleshooting while checking results manually. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Find the formula that should be tested before use.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
1. Learn
This lesson teaches one practical AI habit: Use AI to plan cleanup steps, detect missing fields, and summarize patterns. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Write a data-cleaning checklist for a messy spreadsheet. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Data cleanup checklist.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Use AI to plan cleanup steps, detect missing fields, and summarize patterns. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Identify data quality problems in a sample table.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
1. Learn
This lesson teaches one practical AI habit: Choose charts, explain trends, and separate observations from recommendations. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Create an insight summary with assumptions, risks, and next questions. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Data report template.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Choose charts, explain trends, and separate observations from recommendations. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Choose which insight is overstated.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
1. Learn
This lesson teaches one practical AI habit: Use AI to plan pivots, summaries, KPIs, and dashboard sections while verifying formulas. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Design a simple dashboard plan for sales, expenses, study results, or operations data. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Dashboard planning worksheet.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Use AI to plan pivots, summaries, KPIs, and dashboard sections while verifying formulas. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Choose which KPI needs a clear definition before analysis.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
1. Learn
This lesson teaches one practical AI habit: Create a clean data dictionary and cleanup plan before asking AI for analysis. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Write cleanup rules for duplicates, missing values, dates, categories, and calculated columns. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Data dictionary and cleanup plan.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Create a clean data dictionary and cleanup plan before asking AI for analysis. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Identify which data issue will make the insight unreliable.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
1. Learn
This lesson teaches one practical AI habit: Turn numbers into a cautious recommendation with assumptions, confidence, and next checks. You will apply it to a real spreadsheet, formula, table, or insight note, compare the AI output with the goal, then save a reusable version only after review.
2. Study the example
Example: use Excel to complete this task: Write a short decision memo from a sample table and mark what must be verified. A strong result names the goal, gives enough context, asks for a specific format, marks assumptions, and includes a human review step before use.
Job seeker use
Use this skill to build safer job-search assets: tailored resumes, LinkedIn summaries, networking messages, company research notes, ethical interview preparation, and application tracking templates.
Student use
Use this skill for study plans, summaries, practice quizzes, class notes, project outlines, and revision checklists without submitting AI work as your own when your school rules prohibit it.
3. Proof to save
Verified analysis memo.
Copy-ready lab prompt
You are helping me complete a practical AI-for-work task. Task: [describe your real task] Goal: Turn numbers into a cautious recommendation with assumptions, confidence, and next checks. Tool I may use: Excel, Google Sheets, Copilot, Gemini, ChatGPT Audience: [who will read or use the output] Constraints: keep it accurate, private-data safe, and easy to review. First ask up to 3 clarifying questions if needed. Then create the output in a clear structure. End with assumptions, risk checks, and a final checklist before I use the result.
Tools to try
4. Quick quiz and checklist
Spot the recommendation that overclaims from limited data.
Common mistakes
Passing answer key
A passing answer explains which tool you chose, why it fits the task, what context you gave it, how you checked the output, and what you changed before saving the final spreadsheet, formula, table, or insight note.
Rubric
Certificate evidence
Finish the lessons, save your prompts and outputs, then use the capstone checklist to show what AI did, what you reviewed, and where human judgment was required.