Who Should Attend

This course is ideal for business analysts, data-savvy managers, product owners, financial analysts, operations staff, and students who want practical skills in: translating business questions into data problems, building reliable Excel models, automating analysis with R, and using ChatGPT responsibly to accelerate insight generation.

What You’ll Learn

• How to define and scope business questions amenable to data analysis.
• Excel techniques for cleaning, pivoting, and modeling real-world datasets.
• R scripting for reproducible analysis, visualization (ggplot2), and statistical testing.
• How to combine human judgment with ChatGPT to accelerate exploratory analysis, generate code snippets, and draft clear executive summaries.
• Case-study driven problem solving across marketing, finance, and operations scenarios.
• How to present results clearly and translate them into actionable business recommendations.

Course Modules & Structure

1. Module 1 — Foundations: Problem framing, data types, data quality checks, and Excel review.
2. Module 2 — Excel for Business Analysis: Advanced formulas, pivot tables, Power Query basics, scenario analysis, and dashboarding.
3. Module 3 — R for Reproducible Analytics: Tidyverse workflows, data wrangling, visual storytelling, and statistical inference.
4. Module 4 — ChatGPT in the Analyst’s Toolkit: Prompt engineering for data tasks, generating R/Excel code, validating AI outputs, and ethical considerations.
5. Module 5 — Integrated Case Studies (Third Edition): End-to-end projects: customer churn, pricing optimization, and supply-chain bottleneck analysis — each solved in Excel, R, and with AI-assisted approaches.
6. Module 6 — Final Capstone: Pick a business problem, produce an analysis (Excel or R), and create an executive brief using AI-assisted drafting.

Teaching Methods

Hands-on labs, downloadable datasets, step-by-step R scripts, Excel workbooks, instructor walkthrough videos, and guided ChatGPT prompts. Each module includes checklists, self-assessments, and downloadable templates so you can apply the techniques immediately at work.

Requirements & Prerequisites

Basic familiarity with spreadsheets is recommended. No prior R experience is required — we start with fundamentals and progress to intermediate scripting. Access to Excel (desktop or online) and R (or RStudio) is needed to complete labs; instructions for free tools are included.

Outcomes & Career Benefits

By course completion you will be able to design reliable analytical workflows, automate repetitive tasks with R, produce professional dashboards in Excel, and use ChatGPT to accelerate analysis and reporting — skills that help you secure roles in business analysis, data operations, product analytics, and management reporting.

Frequently Asked Questions

Is this course suitable for beginners?

Yes — modules progress from fundamentals to applied case studies. Advanced optional labs are available for experienced learners.

Will I get code and templates?

Yes — every case study includes Excel workbooks, R scripts, and example ChatGPT prompts you can reuse.

How is this Third Edition different?

This edition adds updated ChatGPT workflows, new case studies aligned to modern business problems, and improved reproducible R notebooks.