EPISODE · Nov 25, 2025 · 8 MIN
Episode 17 - Statistics for Data Analysis
from 100 days of data · host 100 days of data
In Episode 17 of '100 Days of Data,' Jonas and Amy dive into the essential statistical concepts that underpin effective data analysis. They explain key terms like distributions, averages, and variance in clear, relatable language, illustrating how these tools help businesses uncover trends, measure risk, and make informed decisions. From understanding customer behavior to improving manufacturing consistency and forecasting sales more accurately, the hosts show how statistical literacy is vital—even if you're not a statistician. Whether you're working in finance, retail, or AI, grasping these foundational ideas will empower you to interpret data more confidently and ask smarter questions. Jonas and Amy also touch on real-world cases where misunderstanding averages or assuming normal distribution led to poor business choices, underscoring how mastering these basics pays off across industries.
What this episode covers
In Episode 17 of '100 Days of Data,' Jonas and Amy dive into the essential statistical concepts that underpin effective data analysis. They explain key terms like distributions, averages, and variance in clear, relatable language, illustrating how these tools help businesses uncover trends, measure risk, and make informed decisions. From understanding customer behavior to improving manufacturing consistency and forecasting sales more accurately, the hosts show how statistical literacy is vita...
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Episode 17 - Statistics for Data Analysis
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