Practical Statistics with Python — Course

A hands-on beginner→intermediate course for analysts and BI professionals. Build intuition, run tests, and ship insights with Python (Pandas/NumPy/SciPy/Matplotlib).

What you’ll learn

• Descriptive statistics and visualization
• Probability & common distributions
• Sampling, CLT, confidence intervals
• Hypothesis testing (t‑tests, chi‑square, ANOVA) & A/B testing
• Correlation and linear regression + diagnostics
• Case studies: churn, subscription funnels, forecasting

Quickstart

# 1) Create and activate a virtual env (optional)
python -m venv .venv && source .venv/bin/activate  # Windows: .venv\Scripts\activate

# 2) Install deps
pip install -r requirements.txt

# 3) Start Jupyter
jupyter lab

Open the notebooks in notebooks/ and follow the module order.

Repository Structure

practical-stats-python-course/
  datasets/
  docs/
  notebooks/
    module1_intro/
    module2_probability/
    module3_sampling_clt/
    module4_hypothesis_ab/
    module5_regression/
    module6_case_studies/
  utils/
  requirements.txt
  README.md

Last generated: 2025-10-31T20:24:56Z