This course provides a foundational understanding of data science concepts, tools, and techniques. Students will explore data collection, cleaning, visualization, and analysis, gaining practical experience with popular programming languages like Python or R. Key topics include statistical analysis, machine learning fundamentals, and ethical considerations in data handling. By the end of the course, participants will be able to extract insights from data and apply data-driven decision-making in real-world scenarios.
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