Introduction to Data Science for Economics
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This text is designed for undergraduate and graduate students pursuing degrees in economics, data science, finance, or related fields. The chapters are structured to provide both theoretical foundations and practical, hands-on experience using popular programming tools like R. Real-world economic datasets are used throughout to illustrate how data science techniques can inform better decision-making across diverse sectors, including finance, healthcare, and public policy.
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This text is designed for undergraduate and graduate students pursuing degrees in economics, data science, finance, or related fields. The chapters are structured to provide both theoretical foundations and practical, hands-on experience using popular programming tools like R. Real-world economic datasets are used throughout to illustrate how data science techniques can inform better decision-making across diverse sectors, including finance, healthcare, and public policy.
Beschrijving
(2)
Bol
This text is designed for undergraduate and graduate students pursuing degrees in economics, data science, finance, or related fields. The chapters are structured to provide both theoretical foundations and practical, hands-on experience using popular programming tools like R. Real-world economic datasets are used throughout to illustrate how data science techniques can inform better decision-making across diverse sectors, including finance, healthcare, and public policy.
AmazonPages: 104, Paperback, LAP Lambert Academic Publishing
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