Time Series and Financial Functions focus on analyzing data that changes over time, such as stock prices, sales trends, and economic indicators. These techniques help identify patterns, trends, seasonality, and volatility in sequential data. This training explains key time series concepts such as moving averages, smoothing, forecasting, and decomposition methods. It also covers financial functions used for calculations like returns, interest rates, net present value (NPV), and internal rate of return (IRR). You will learn how organizations use time series analysis for forecasting, risk assessment, and financial decision-making. The course also highlights best practices for building accurate and reliable analytical models for financial and temporal data.
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