Course Objective & Scope
Business teams spend hours wrangling spreadsheets to answer operational questions, yet pasting numbers directly into standard chat models often leads to arithmetic hallucinations. This course teaches non-technical professionals how to use sandboxed AI data environments (such as ChatGPT Data Analysis, Claude Analysis, and Copilot in Excel) that execute deterministic code behind the scenes.
Participants practice data cleaning, exploratory analysis, anomaly detection, chart generation, and executive insight writing without needing to write Python or SQL themselves. Using anonymized enterprise datasets, teams establish a strict numerical verification protocol.
Who Should Attend?
- Finance, sales, marketing, procurement, and operations specialists who regularly work with spreadsheets and BI exports
- Business analysts and managers seeking fast exploratory data analysis without waiting on data engineering queues
- Professionals responsible for turning raw tables into charts and narrative insights for leadership
- Requires familiarity with spreadsheets (Excel/Google Sheets); no coding experience needed
Key Takeaways
- Distinguish between error-prone token prediction on numbers and reliable sandboxed code execution
- Clean, merge, and restructure messy CSV and Excel files using structured natural language instructions
- Generate complex spreadsheet formulas, pivot structures, and statistical summaries rapidly
- Uncover trends, cohort behaviors, and outliers, and produce clear visual charts
- Verify AI-generated calculations using sanity checks and translate metrics into actionable business narratives
Curriculum
How AI Data Analysis Works Safely and Accurately
- Why standard LLM text prediction fails at math vs. how Code Interpreter and analysis sandboxes execute code
- Data privacy hygiene: anonymizing, masking, and preparing corporate spreadsheets before upload
- Providing column definitions and business logic (data dictionaries) to prevent misinterpretation
Data Cleaning, Transformation, and Spreadsheet Formulas
- Standardizing inconsistent dates, currencies, text fields, and missing values via natural language
- Joining, filtering, and reshaping multi-sheet datasets without manual copy-pasting
- Generating advanced Excel formulas (XLOOKUP, INDEX/MATCH, LET) and automation scripts
Exploratory Data Analysis (EDA) and Visualization
- Segmenting sales, cost, retention, and operational metrics across time and categories
- Detecting anomalies, seasonal patterns, and Pareto (80/20) concentrations
- Selecting effective chart types and generating presentation-ready visualizations
Numerical Verification and Data Storytelling
- Sanity-checking AI calculations: verifying row counts, filter logic, and control totals
- Avoiding analytical pitfalls such as confusing correlation with causation or Simpson's paradox
- Translating statistical findings into clear 'What happened, Why, and What next' executive narratives
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