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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cash-flow-forecasting-in-banking/
课程评论：没有评论
课程名称：银行中的人工智能现金流预测 课程概述：现金流预测是银行业中的一项关键技能，影响着财务管理的各个方面，包括确保日常流动性、优化盈利能力和保持合规性。本课程将教授银行用于现金流预测的策略和技术，这一过程对于处理大量日常交易、客户取款和贷款发放至关重要。课程涵盖多种预测模型，包括探索性数据分析（EDA）和先进的预测技术，如ARIMA、PROPHET和XGBoost回归，所有这些都在模拟的核心银行生态系统中实现。 课程中将使用MySQL进行数据仓库管理，并使用Apache NiFi进行数据集成，您将获得实际操作经验，应用银行管理现金流所依赖的真实工具。通过分析客户存款、贷款还款、取款、债券销售和经营费用，您将学习如何做出明智的财务决策，以平衡流动性需求与盈利目标。此外，课程还强调了有效的现金流预测如何帮助银行实现合规性要求，从管理高峰交易时期到制定储备的战略决策。 完成课程后，您将能够处理复杂的预测需求，确保银行能够在日益动态的金融环境中做出数据驱动的盈利决策。本课程非常适合希望加深现金流管理专业知识的金融专业人士、银行从业者和数据爱好者。
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.
