Most statistics courses teach formulas. This one teaches you how to use statistics to answer real business questions and defend your recommendations in front of stakeholders and interviewers.
Built for working professionals moving into data analyst and business analyst roles, the course uses practical business scenarios from sales, pricing, marketing and operations instead of textbook examples.
What you'll learn:
- When to use mean/median/mode and why is it important
- Descriptive statistics and how to summarise data so it tells a story
- Probability and distributions, explained without heavy maths
- Sampling, confidence intervals and what "statistically significant" really means
- Hypothesis testing (t-test, chi-square) for business decisions
- A/B testing: designing, running and reading results
- Correlation and regression for driving and forecasting outcomes
- Forecasting basics for planning and budgeting
Format: Live sessions
Who it's for : analysts, aspiring analysts, finance and sales professionals who work with numbers.
No prior statistics knowledge required.
What You'll Learn
Summarise business data using mean, median, variance and standard deviation
Choose the right probability distribution for a business problem
Use sampling and confidence intervals to draw reliable conclusions from limited data
Run and interpret hypothesis tests (t-test, chi-square) to support business decisions
Design and read A/B tests without common mistakes
Build and interpret regression models to explain and predict outcomes
Create basic forecasts for planning and budgeting
Present statistical findings clearly to non-technical stakeholders
Skills You'll Gain
Business StatisticsHypothesis TestingRegression AnalysisA/B TestingForecastingData AnalysisExcel