Dive into core concepts with step-by-step exercises covering Python (pandas, NumPy) and SQL (CTEs, window functions). Includes 20+ real-world datasets from Kaggle and UCI to practice cleaning, merging, and aggregating data.
Learn to create publication-ready charts using Matplotlib, Seaborn, and Plotly. Includes templates for automated dashboards in Jupyter Notebooks, with 15 pre-built visualizations for exploratory data analysis.
Implement regression, classification, and clustering algorithms with scikit-learn and TensorFlow. Features 10 end-to-end projects, including customer segmentation and sales forecasting, with hyperparameter tuning guides.
Apply skills to 5 capstone projects: e-commerce analytics, healthcare trends, financial risk modeling, social media sentiment, and supply chain optimization. Each includes data preprocessing, model building, and deployment templates.
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You need Python 3.8+ and Jupyter Notebook installed. All datasets and code are provided in the bundle, with setup instructions for Anaconda and virtual environments.
Yes, the bundle starts with foundational Python and SQL exercises, gradually progressing to advanced machine learning. Each section includes explanations and solution walkthroughs.
Absolutely. All templates, code, and workflows are royalty-free for personal and commercial use, with no attribution required.