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1. Data Wrangling & Exploration
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Cleaning & preparing real-world data
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Exploratory Data Analysis (EDA)
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2. Statistics for Decisions
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Statistics that matter in practice
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A/B testing & experimentation
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3. Communicating with Data
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Visualization & storytelling
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SQL for analysts
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4. End-to-End ML Workflow
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Feature engineering & modeling
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Portfolio project: an end-to-end analysis
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Data Science Skills Check
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