![]() ![]() For instance, data science uses quantitative methods such as regression analysis and linear programming to analyze data. Trend forecastingĭata science plays a significant role in helping financial analysts forecast trends. Listed below are the top eight examples of data science being used in the finance industry. It helps them make better decisions about customer behavior, product development, marketing strategies, etc.įrom using machine learning algorithms to Python for Data Science, there are several key methods of applications of data science in finance. They have to use data science to improve their services and products. With the increase in data and accessibility of AI, financial institutions can’t ignore the benefits of data science. The finance industry deals with large volumes of data. This blog covers the top 8 data science use cases in the finance industry that can help them when dealing with large volumes of data. ![]()
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