Description
Data Analysis for Business Decisions: Case Studies in Excel, R, and ChatGPT — Third Edition
Data Analysis for Business Decisions with Excel, R, and ChatGPT — a practical, case-driven course that teaches you how to convert raw data into actionable business recommendations using industry-standard tools and modern AI-assisted workflows.
This Third Edition combines step-by-step Excel techniques, reproducible R scripts, and ChatGPT-powered analysis to guide managers, analysts, and aspiring data practitioners through real business case studies — from problem framing to presentation-ready insights.
Overview
This course blends hands-on tutorials and real-world case studies to teach both technical methods and decision-making frameworks. You will learn how to clean and model data in Excel, perform advanced statistical and visualization tasks in R, and accelerate insight generation using ChatGPT for idea synthesis, natural language explanation, and automated reporting. The Third Edition has updated examples, improved R scripts, and new ChatGPT prompt strategies relevant to 2025 business contexts.
Who Should Enroll
- Business analysts, product managers, and operations leads who need data-backed recommendations.
- Early-career data scientists who want to combine spreadsheet fluency with R and AI-assisted reporting.
- Students and professionals seeking portfolio case studies demonstrating end-to-end analysis and storytelling.
What You’ll Learn
- Frame business problems and translate them into measurable analysis plans.
- Clean, transform, and explore datasets using Excel and R with reproducible workflows.
- Apply statistical tests, regression, time-series basics, and clustering as decision tools.
- Use ChatGPT to draft executive summaries, generate hypotheses, and automate repetitive analysis tasks.
- Create compelling dashboards, visualizations, and slide decks for stakeholders.
Course Modules (Detailed)
Module 1 — Business Problem Framing & Excel Foundations
Learn requirement gathering, KPI selection, and build robust Excel models: pivot tables, Power Query basics, structured formulas, and dashboard design. Module includes downloadable Excel workbooks and step-by-step exercises.
Module 2 — Reproducible Analysis in R
Move from spreadsheets to code: RStudio workflows, data wrangling with dplyr, visualization with ggplot2, basic modelling, and creating shareable R Markdown reports. Full scripts and sample datasets provided.
Module 3 — AI-Assisted Insight with ChatGPT
Practical prompt engineering for business contexts: summarization, exploratory question generation, automated reporting templates, and how to combine ChatGPT outputs with human validation for reliable decisions.
Module 4 — Integrated Case Studies
End-to-end case studies (sales forecasting, customer churn, pricing experiments) that require using Excel, R, and ChatGPT together — from raw data to board-ready recommendations.
Featured Case Studies
- Retail demand smoothing using Excel smoothing techniques and R time-series checks.
- Customer churn analysis: segmentation, survival analysis basics, and ChatGPT-driven executive brief.
- Pricing sensitivity study: A/B experiment analysis and recommendation memo drafted with ChatGPT prompts.
Prerequisites & Materials
Basic familiarity with spreadsheets and comfort using a computer. Optional: prior exposure to R is helpful but not required — stepwise R lessons included. You will need Excel (desktop or online), R and RStudio (free), and access to ChatGPT (free/open or paid API access depending on use).
Format & Course Materials
Self-paced video lessons, downloadable datasets, Excel workbooks, R scripts, and ChatGPT prompt libraries. Each module ends with a practical assignment and a model solution. Instructor feedback available on selected assignments.
Outcomes & Career Impact
By course completion you will be able to lead data-informed projects, produce reproducible analyses, and communicate insights to non-technical stakeholders — skills that improve hiring prospects and accelerate promotion trajectories in analytics and product roles.
Frequently Asked Questions
- How long does the course take?
- Estimated 20–30 hours of study, depending on depth of assignments you choose.
- Is a certificate provided?
- Yes — a completion certificate is available after finishing the core assignments.
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