1Data Preparation: — Load and preprocess the data using pandas and NumPy.
2Descriptive Statistics: — Calculate mean, median, standard deviation, and IQR.
3Distribution Analysis: — Identify and analyze relevant probability distributions.
4Hypothesis Testing: — Perform t-tests, chi-square tests, or A/B tests.
5Linear Algebra: — Apply matrix operations for data manipulation and dimensionality reduction.
6Regression Analysis: — Build and evaluate linear regression models.
7Interpretation: — Interpret results and draw conclusions.