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The Art and Science of Data Analysis
DE
Authors
52 pages
More about the book
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.
Book variant
2024, paperback
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