Data Analytics Fundamentals
From business questions to data‑driven decisions: statistics, cleaning, and communication.
Outcomes
- Frame questions and choose appropriate methods
- Understand sampling, confidence intervals and hypothesis testing
- Communicate findings clearly and responsibly
Outline (1–2 days)
- Data collection, quality and governance
- Descriptive statistics & uncertainty
- Comparisons & simple experiments
- Forecasting basics
- Storytelling with numbers
Audience & tooling
Cross‑functional teams in finance, risk, operations and product. Tools: Excel, optionally R/Python.