Data Analytics track

A/B Testing

Experiment design, randomization, significance, power and pitfalls.

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1

A/B Testing Fundamentals

Concept · Hands-on lab included

2

Hypothesis and Metrics Selection

Concept · Hands-on lab included

3

Sample Size and Power

Concept · Hands-on lab included

4

Experiment Design and Randomization

Concept · Hands-on lab included

5

P-values and Significance

Concept · Hands-on lab included

6

Confidence Intervals for Experiments

Concept · Hands-on lab included

7

Multiple Comparisons and Segmentation Bias

Concept · Hands-on lab included

8

Guardrail Metrics

Concept · Hands-on lab included

9

Running the Experiment

Concept · Hands-on lab included

10

Reading Results and Launching

Concept · Hands-on lab included

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