Coming Soon workshop
Statistics Made Simple: Practical Stats for Business
Business
Statistics

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You can pull data, calculate an average, or ask an AI tool for a p-value in seconds, but knowing what it means for a number to be statistically significant is a different skill entirely. Most people either avoid statistical analysis because the formulas feel intimidating, or lean on AI to run tests they can't interpret.
In this session, you'll build the intuition behind statistics from the ground up, then apply it to real business scenarios through hypothesis testing with AI, so you can interpret and act on the results with confidence.
What you'll learn
Know when statistics are actually needed
Recognize which business questions call for statistical analysis and which ones don't.
Understand why results vary by chance
See how results can move from random variation alone, so you can separate meaning from noise.
Apply hypothesis testing to real scenarios
Use hypothesis testing to compare options like email subject lines, landing pages, campaigns, etc.
Interpret AI-generated statistics with confidence
Read and act on results from AI tools instead of taking a p-value at face value.
Who should join this workshop?
Data analysts who want to judge when a result is meaningful and when it's just chance variation
Analytics or BI professionals who use AI tools for testing and want to interpret the output instead of trusting a p-value on sight
Marketing, product, or ops professionals who want to run experiments and interpret results accurately
Prerequisites
No prior experience required
Enrique Ruiz
Sr. Learning Experience Designer
Enrique is a certified Microsoft Excel Expert and top-rated instructor with a background in business intelligence, data analysis and visualization. He has been producing advanced Excel and test prep courses since 2016, along with adaptations tailored to Spanish-speaking learners.

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