Build statistical intuition before formulas.
Learn how center, spread, distributions, z-scores, and skewness describe what a dataset is actually saying.
Choose between mean, median, and mode
Measure and interpret variability
Read common distribution shapes and z-scores
Recognize skew and select robust summaries
Aurora Clinic patient data, including wait times, blood pressure, billing, departments, and satisfaction.
None beyond basic arithmetic.
Open any module to review its exact sections. Progress and completion follow you through the course.
Topics include Why Do We Need This?, The Mean (Average), The Median (Middle Value), and more.
Topics include Why Spread Matters, Range and Quartiles, Variance and Standard Deviation, and more.
Topics include The Normal Distribution, The 68-95-99.7 Rule, Z-Scores, and more.
Topics include What is Skewness?, Why Does Data Get Skewed?, When to Use Median Instead of Mean, and more.
Statistics beginners
Analysts who use metrics but want stronger intuition
Learners preparing for probability and machine learning
These are independent LDS courses that extend the closest skills. Choose the direction that matches what you want to build next.
Reason clearly when outcomes are uncertain.
Design experiments that survive real scrutiny.
Train models the way working data scientists do.
The first module establishes the language and example used throughout the rest of the course.
