Hypothesis Testing in Python: Credit Card Analysis Guide (SciPy, Pandas)
Description:
Master hypothesis testing with Python using real credit card data! This step-by-step tutorial teaches you to apply statistical tests (T-tests, ANOVA, Chi-square, Wilcoxon) to analyze spending patterns, campaign impacts, and demographic differences.
You’ll Learn:
✅ When to use parametric vs. non-parametric tests
✅ How to prepare financial data for hypothesis testing
✅ Techniques to validate marketing campaigns & demographic impacts
✅ Industry-standard Python workflows (Pandas data prep + SciPy stats)
Tools Used:
🐍 Python · 📊 Pandas · 📈 SciPy · 🎨 Matplotlib
Perfect For:
Data analysts, financial modelers, marketing analysts & BI professionals! Subscribe for Python data science tutorials!
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Data + Code Files:
https://github.com/hakeemrehman/Pytho...
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