Graduate Certificate in R for Time Series Analysis
-- ViewingNowThe Graduate Certificate in R for Time Series Analysis is a highly relevant course that equips learners with in-demand skills for data analysis and forecasting. This certification focuses on R, a leading programming language for statistical analysis and visualization.
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โข Introduction to R: Fundamentals of R programming, data structures, and basic syntax.
โข Time Series Analysis in R: Overview of time series analysis, exploratory data analysis, and visualization.
โข Time Series Data in R: Importing, cleaning, and preparing time series data for analysis.
โข Decomposition and Seasonal Analysis: Decomposing time series data, understanding seasonality, and cyclical patterns.
โข Autocorrelation and Partial Autocorrelation: Concepts and practical implementation in R.
โข ARIMA Models: Understanding and implementing ARIMA models for time series forecasting.
โข Exponential Smoothing Models: Implementing exponential smoothing models for time series forecasting.
โข Model Selection and Validation: Model selection criteria, cross-validation, and diagnostics.
โข Advanced Time Series Analysis: Multivariate time series analysis, state-space models, and GARCH models.
โข Case Studies and Applications: Real-world examples and applications of time series analysis in various industries.
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