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This course provides a comprehensive introduction to **data analysis**, covering the entire process from data collection to actionable insights. You'll learn how to inspect, cleanse, transform, and model data using various techniques and tools. The course emphasizes practical applications, including data visualization, statistical analysis, and storytelling with data. By the end, you'll be equipped to tackle real-world data challenges and make data-driven decisions. Key topics include: - **Data cleaning and preprocessing** - **Exploratory data analysis (EDA)** - **Statistical modeling and hypothesis testing** - **Data visualization techniques** - **Reproducibility and documentation best practices**