Executive Development Programme in Time Series Modeling
-- ViewingNowThe Executive Development Programme in Time Series Modeling is a certificate course that holds immense importance and caters to the growing industry demand for data analysis and forecasting skills. This program equips learners with essential skills in time series modeling, empowering them to analyze and interpret trends, patterns, and seasonality in data to make informed business decisions.
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⢠Introduction to Time Series Modeling: Defining time series, understanding the components, and exploring different types of time series data.
⢠Data Preprocessing: Cleaning and transforming time series data, handling missing values, and dealing with outliers.
⢠Exploratory Data Analysis: Visualization techniques, summary statistics, and understanding patterns in time series data.
⢠Autoregressive (AR) Models: Defining AR models, understanding their components, and applying AR models to time series data.
⢠Moving Average (MA) Models: Defining MA models, understanding their components, and applying MA models to time series data.
⢠Autoregressive Integrated Moving Average (ARIMA) Models: Defining ARIMA models, understanding their components, and applying ARIMA models to time series data.
⢠Seasonal ARIMA (SARIMA) Models: Defining SARIMA models, understanding their components, and applying SARIMA models to time series data.
⢠Model Selection and Validation: Model selection criteria, cross-validation techniques, and assessing model performance.
⢠Forecasting with Time Series Models: Generating forecasts, setting confidence intervals, and evaluating forecast accuracy.
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