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In this video, Applied Data Science with Python 2026, you’ll learn how to use Python to solve real-world data science problems—from data cleaning and exploration to building and evaluating predictive models. This full course covers the complete applied data science workflow using industry-standard libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn) and practical datasets.
You’ll start with what data science is, how it drives business decisions, and the end-to-end data science pipeline (problem framing, data collection, cleaning, modeling, deployment). Then you’ll go hands-on with Python basics, NumPy for numerical computing, Pandas for data manipulation, and visualization with Matplotlib/Seaborn/Plotly. The course moves into statistics, feature engineering, and machine learning with scikit-learn, so you can build, tune, and evaluate models on real business problems.
By the end, you’ll have a strong, practical understanding of applied data science with Python and the confidence to analyze data, build ML solutions, and communicate insights.
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