Applying Data Analytics in Finance - Coursera In this module, we will introduce an overview of financial analytics Students will learn why, when, and how to apply financial analytics in real-world situations We will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory
Big Data in Finance: Benefits, Use Cases, Examples - Turing Big data analytics allow financial institutions to collect and store every transaction, providing a comprehensive dataset for analysis By analyzing transaction patterns, they can use big data technology to detect fraudulent activities such as money laundering or identity theft
Data Science in Finance: A Complete Guide - Scaler Data Science in Finance refers to the use of statistical techniques, machine learning algorithms, and data analysis tools to extract useful information from financial data This helps financial institutions make informed decisions, manage risk, detect fraud, and offer personalized services