Introduction to Data Science for Economics

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Product Description

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.

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. Dasauki Musa obtained a Bachelor's and Master's degree in Economics from Babcock University and completed a PhD in Energy Economics at the Center for Petroleum, Energy Economics and Law (CPEEL), University of Ibadan. With over 12 years of experience using EViews, Dasauki Musa has developed a deep understanding of the software and its applications.

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