Introduction to Data Science
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This textbook provides students with a greater understanding of how to extract insights and knowledge from large volumes of data, be it structured or unstructured, and to utilize this data in predictive analytics and decision-making processes. It covers foundational components of data science, including data collection, cleaning, exploratory analysis, modeling, and interpretation with an emphasis on communication of conclusions to stakeholders.
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This textbook provides students with a greater understanding of how to extract insights and knowledge from large volumes of data, be it structured or unstructured, and to utilize this data in predictive analytics and decision-making processes. It covers foundational components of data science, including data collection, cleaning, exploratory analysis, modeling, and interpretation with an emphasis on communication of conclusions to stakeholders.
Bol
This textbook provides students with a greater understanding of how to extract insights and knowledge from large volumes of data, be it structured or unstructured, and to utilize this data in predictive analytics and decision-making processes. It covers foundational components of data science, including data collection, cleaning, exploratory analysis, modeling, and interpretation with an emphasis on communication of conclusions to stakeholders.
AmazonPagina's: 472, Paperback, Cognella, Inc
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