AI-Powered Cash Flow Forecasting in banking

*This course contains the use of artificial intelligence.*

Cash flow forecasting in banking is an essential skill that impacts every aspect of financial management, from ensuring daily liquidity to optimizing profitability and maintaining regulatory compliance. In this course, you'll learn the strategies and techniques banks use to forecast cash flows, a process critical for handling large volumes of daily transactions, customer withdrawals, and loan disbursements.

This course covers a wide range of forecasting models, including Exploratory Data Analysis (EDA) and advanced predictive techniques like ARIMA, PROPHET, and XGBoost Regression, all implemented within a simulated core banking ecosystem. Using MySQL for data warehousing and Apache NiFi for data integration, you'll gain hands-on experience applying real-world tools that banks rely on to manage their cash flow needs. By analyzing customer deposits, loan repayments, withdrawals, bond sales, and operating expenses, you'll learn to make informed financial decisions that balance liquidity requirements with profitability goals.

From managing peak transaction periods to making strategic decisions about reserves, this course also emphasizes how effective cash flow forecasting supports banks in achieving regulatory compliance. By the end, you’ll be equipped to handle complex forecasting demands, ensuring that banks can make data-driven, profitable decisions in an increasingly dynamic financial landscape. This course is ideal for finance professionals, banking practitioners, and data enthusiasts looking to deepen their expertise in cash flow management.