Applied Statistics
The statistical concepts every data analyst actually uses — standard deviation, outlier detection, correlation, and A/B testing — explained practically with Python, not heavy math.
What you'll learn
Applied Statistics is organized into 2 focused modules. By the end you'll be comfortable with:
- Descriptive Statistics
- A/B Testing
Course curriculum
10 lessons across 2 modules. Lessons marked Free preview are readable without an account.
Module 1. Descriptive Statistics
Summarise data with the measures every analyst uses daily — no heavy math required
- 10mMeasures of CenterFree preview
Mean vs median — the most important choice in descriptive statistics, and when each one misleads.
- 10mSpread and Standard DeviationFree preview
Understand standard deviation as 'typical distance from the average' — and use it to flag unusual values.
- 10mDistributions in Practice
Recognize normal, right-skewed, and bimodal distributions from a histogram — and know what each means for your analysis.
- 10mCorrelation vs Causation
Use df.corr() to find relationships — and learn why correlation never proves cause.
- 12mSummary Stats Workflow
A practical end-to-end routine for characterising any new numeric column in under 2 minutes.
Module 2. A/B Testing
Design and analyse experiments to make data-driven product decisions with confidence
- 10mWhat is A/B Testing?
How companies use controlled experiments to make data-driven product decisions — and why it beats opinions.
- 12mDesigning an A/B Test
How to choose the right metric, avoid common design mistakes, and know when you have enough data.
- 12mStatistical Significance in Plain English
What p-values actually mean — explained without formulas, using plain language and code output.
- 14mRunning an A/B Test in Python
End-to-end: load the data, compute conversion rates, run the significance test, and report the result.
- 12mStatistical vs Practical Significance
Why 'statistically significant' and 'worth doing' are two completely different questions — with examples.
Frequently asked questions
- Is the Applied Statistics course free?
- You can preview lessons for free with no account. Full access to this Pro course is included with a Kodion Pro subscription.
- Do I need prior programming experience?
- This is a intermediate course, so you'll get the most from it if you're already comfortable with the basics of programming.
- How long does Applied Statistics take to complete?
- It's 10 lessons across 2 modules, roughly 2 hours of hands-on learning. You can go entirely at your own pace.
- What will I learn?
- You'll work through Descriptive Statistics, A/B Testing, building real, applied skills through interactive lessons and coding challenges.
- Can I get help if I'm stuck?
- Yes. Kodion's built-in AI tutor gives instant, context-aware hints and explanations right inside each lesson as you code.
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