Toolkits & Templates

Downloadable resources for data analysis, machine learning, job preparation, and project acceleration.

Jupyter Notebooks

Includes SVM, Random Forest, and evaluation metrics for binary classification problems.

A quick-reference guide to essential Python syntax and operations.

Core NumPy operations for scientific computing and arrays.

Essential Pandas commands for data loading, wrangling, and analysis.

Quick guide to creating plots and customizing charts with Matplotlib.

Reference for building and validating ML models with scikit-learn.

Build your first BI dashboards and share live reports.

Learn SQL basics with real-world query examples and exercises.