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Time Series in R
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Track Description
Time Series in R
Prerequisites
There are no prerequisites for this trackCourse
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Course
Learn the core techniques necessary to extract meaningful insights from time series data.
Course
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Course
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Course
Learn how to visualize time series in R, then practice with a stock-picking case study.
Course
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
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