Definition and Overview

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Types of Time Series Data

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Applications of Time Series Analysis

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Additive Decomposition

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Multiplicative Decomposition

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Stationarity and Differencing

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Naive Forecasting

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Moving Average Forecasting

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Exponential Smoothing Forecasting

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Case Study: Forecasting Stock Prices

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Case Study: Detecting Anomalies in Sensor Data

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Case Study: Predicting Customer Churn

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