Applications open for a planned May 2027 start.

The course catalog will be updated in January 2027.

September 2027 is the next planned intake and the fallback if May is not ready. There is no January 2027 new-student intake. Application / enrollment fee: $55.

Apply or ask a question · Intake dates and readiness

Course availability and existing applications

Available courses and confirmed start dates will be communicated before enrollment is finalized. Application receipt, fee payment, admission and enrollment are separate. Payment does not guarantee admission, a seat, a course start or immediate access.

Existing applications, receipts, payments and decisions remain valid records for individual review; applicants are not automatically cancelled or transferred. Winter continuing study, advanced placement or professional courses require separate approval.

Only offerings with completed release QA and verified learner delivery are approved for teaching. Course outlines, purchase links and release-candidate labels do not establish readiness. Internal course credits do not imply external accreditation, transfer credit, professional licensure or government-recognized degrees.

Northline Technology Institute · AI Academy · AIDA-140

AI for Spreadsheets and Data Analysis

Turn raw numbers into clear answers with AI, Excel and Google Sheets. Learn to describe, clean, analyze, visualize and verify spreadsheet data with AI assistance.

10-hour learning path · self-paced6 modulesApplied analysis portfolioCertificate of Completion

$99 USDBuy now — $99 USD

View Curriculum Course Catalogue

WHO IT'S FOR

Spreadsheet confidence without formula intimidation.

Designed for office staff, administrators, coordinators, managers, small-business owners and anyone who wants better insight from spreadsheet data. Learners use Microsoft Excel or Google Sheets plus an AI assistant.

COURSE CURRICULUM

Six modules from raw data to verified decisions.

MODULE 1

Describing Your Data to AI

Describe programs, sheets, columns, data types and questions clearly; create a fictional practice dataset and protect personal or confidential information.

MODULE 2

Formulas Without Fear

Use AI to write, explain and troubleshoot formulas including SUMIFS, COUNTIF, lookups, IF logic and date functions, then hand-check results.

MODULE 3

Cleaning Messy Data

Standardize text, dates, categories and numeric fields; identify duplicates; work from copies and maintain a cleaning log.

MODULE 4

Summarizing and Finding Trends

Build pivot tables, calculate key metrics and growth rates, identify patterns, and distinguish hypotheses from supported conclusions.

MODULE 5

Charts and Communicating Findings

Match chart types to the message and turn verified analysis into concise management summaries and one-page data briefs.

MODULE 6

Verifying AI-Assisted Analysis

Hand-check samples, reconcile totals, validate important figures two ways, sense-check surprises and trace reported numbers to source calculations.

APPLIED FINAL PROJECT · APPROX. 2 HOURS

Analysis Portfolio

The learning path combines the six core modules with an applied portfolio: a cleaned dataset and cleaning log, at least five explained formulas, a pivot-table summary, two charts, a one-page data brief and a verification audit. The project extends the original eight hours of module work to a 10-hour learning path.

Assessment: data preparation 20%, formulas and summaries 25%, communication 25%, verification 30%. A score of 70% or higher earns the Certificate of Completion.

LEARNING OUTCOMES

What learners leave with.

Formula fluency

Use AI to create and understand spreadsheet formulas rather than copying unexplained outputs.

Cleaner data

Apply repeatable methods for standardization, duplicates, dates and numeric fields.

Clear analysis

Summarize data with pivots, key metrics and charts that communicate the actual finding.

Verification discipline

Cross-check calculations and keep consequential decisions under informed human accountability.