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FROM DATA TO DECISIONS Practical Data Analysis with Python
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118 b
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Nové
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From Data to Decisions: Practical Data Analysis with Python is a practical and application-oriented guide to understanding how raw data can be transformed into meaningful insights for informed decision-making. The book introduces the essential concepts and techniques of data analysis using Python, covering data collection, cleaning, preprocessing, exploration, statistical analysis, and visualization. It demonstrates how Python and its data-analysis libraries can be used to identify patterns, trends, relationships, and valuable insights from datasets. With a hands-on approach, the book connects theoretical concepts with practical data-analysis workflows and real-world problem-solving. It is designed to support students, researchers, educators, data enthusiasts, and beginners who want to develop practical skills in Python-based data analysis and learn how analytical results can support effective and evidence-based decisions.
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