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Focusing on the essential principles and techniques of data analysis, this guide explores topics like data quality, exploratory analysis, and statistical foundations. It delves into advanced methods, including machine learning and time series forecasting, while emphasizing practical applications through hands-on exercises. Ethical considerations and the importance of continuous learning are also highlighted, aiming to equip readers with the skills necessary for effective data-driven decision-making and innovation across various fields.
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The Art and Science of Data Analysis, Mina Kumari
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- 2024
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