Test real business claims with proper statistics instead of eyeballing charts. Run t-tests, ANOVA, chi-square and correlation tests on customer data. Check each test's assumptions and effect size, and learn why a significant result isn't always an important one.
Prerequisite(s) :
Python, Pandas, Basic Statistics
Skills to be Learned :
- Hypothesis Testing
- T-Test
- ANOVA
- Chi-Square Test
- Effect Size
- SciPy
.png&w=3840&q=75)
.png&w=3840&q=75){kind=logo}
