• Title: Data Science for Economics and Finance: Methodologies and Applications
• Author(s) Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
• Publisher: Springer; 1st ed. 2021 edition (June 10, 2021); eBook (Creative Commons Licensed)
• License(s): CC BY-NC-SA 4.0
• Hardcover/Paperback: 372 pages
• eBook: PDF and ePub
• Language: English
• ISBN-10/ASIN: 3030668932
• ISBN-13: 978-3030668938
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Book Description

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models.

• Sergio Consoli is a Scientific Project Officer at the European Commission, Joint Research Centre, Italy, working on the project "Big Data and Forecasting of Economic Developments" aiming at exploring novel big data sources and methodologies to provide better economic forecasting.

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• Data Science and Data Engineering
• Financial Mathematics, Financial Engineering, etc.
• Data Analysis and Data Mining, Big Data
• Statistics, Mathematical Statistics, and SAS Programming

• Data Science for Economics and Finance: Methodologies and Applications
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