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time-series-analysis-excel-python-ai

Time Series analysis in Excel with Python & AI

  • Gain skills in exploratory analysis, including understanding trends, seasonality, and cyclic patterns, and visualizing data through various plots.
  • Learn to use ARIMA models for predictive insights, including model parameter selection and application to stock price prediction, and apply different exponential smoothing methods for sales forecasting.
  • Evaluate forecasting accuracy with metrics like RMSE, MAPE, and AIC/BIC, and understand how to handle common data issues like missing values, outliers, and choose between ARIMA and exponential smoothing based on forecasting needs.