Data AnalyticsIntermediate
Statistics for Data-Driven Decisions
A rigorous but accessible course covering the statistical concepts that underpin reliable data analysis. Taught with Python throughout, using real business scenarios — A/B testing, customer analysis, operational data — so every concept has immediate practical application.
Tools & Technologies
PythonSciPystatsmodelspandas
Course Curriculum
1
Descriptive Statistics
- Distributions, central tendency, and spread
- Skewness, kurtosis, and outlier detection
- What summary statistics conceal
2
Probability & Sampling
- Probability basics and the rules that matter
- The Central Limit Theorem — why it changes everything
- Confidence intervals in plain language
3
Hypothesis Testing
- t-tests, z-tests, and chi-squared tests
- p-values — what they mean and how they are misused
- Statistical power and sample size planning
4
Regression & A/B Testing
- Simple linear regression and correlation
- Designing a valid A/B test
- Analysing results and avoiding common pitfalls
What's Included
Live instructor-led session
Small cohort
Course materials pack (slides, code, datasets)
Certificate of completion
14-day email support
£740Early bird
£495Save £245
per person
7 hours (1 day)
Next: Tue, 14 Apr 2026
8 seats remaining
Intermediate level
4/12 seats filled
Completion certificate included