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Correlation vs causation
Exercise

Correlation vs causation

Exercise

Red flags in data discussions

Exercise

Understand statistical significance

Exercise

Cost-benefit analysis

When AI adds unique value
Exercise

When AI adds unique value

Exercise

Data-informed decision making

Prediction use cases
Exercise

Prediction use cases

SWOT analysis generation
Exercise

SWOT analysis generation

Exercise

Validating statistical significance

Exercise

Identify statistical outliers

Chart types and uses
Exercise

Chart types and uses

The story behind the numbers
Exercise

The story behind the numbers

Exercise

Setting appropriate confidence thresholds

Challenge assumptions in data
Exercise

Challenge assumptions in data

Exercise

Data storytelling fundamentals

Exercise

Data traps every PM should avoid

Exercise

Requesting statistical calculations

Your best insights hide in anomalies
Exercise

Your best insights hide in anomalies

Exercise

Interpreting Kano survey results

Understanding error types through outcomes
Exercise

Understanding error types through outcomes

Weighing false positives versus false negatives
Exercise

Weighing false positives versus false negatives

Exercise

Statistical concepts for PMs

Exercise

Analyzing high-stakes situations

Exercise

Building trust through scientific validation

Exercise

Data quality assessment

Exercise

North star metric selection

Using competitive analysis in marketing strategy
Exercise

Using competitive analysis in marketing strategy

Exercise

Balancing quantitative data with qualitative insights

Exercise

Correlation vs causation

Choosing tools for tracking and visualization
Exercise

Choosing tools for tracking and visualization

Exercise

Your personal data discovery playbook

Exercise

Making data-driven decisions under constraints

Exercise

Avoiding analysis paralysis and managing biases

Connecting the north star and supporting metrics
Exercise

Connecting the north star and supporting metrics

Exercise

What patterns really matter?

Exercise

Sample size calculation

Exercise

Cohort analysis basics

Anonymization techniques
Exercise

Anonymization techniques

Exercise

Statistical significance

Exercise

Interpreting test results

Experimentation fundamentals
Exercise

Experimentation fundamentals

Validating hypotheses through data-driven experiments
Exercise

Validating hypotheses through data-driven experiments

Exploratory data analysis
Exercise

Exploratory data analysis