Datacamp – Time Series in R 2025-5

Datacamp – Time Series in R 2025-5 Downloadly IRSpace

Aug 16, 2025 - 06:58 Updated: Aug 17, 2025 - 19:34

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Datacamp – Time Series in R 2025-5

Time Series in R, Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data. Learn how to extract meaningful insights from time series data in R with this six-course track. Explore how to model, forecast, and visualize time series data using R programming. Time series are all around us, from server logs to high-frequency financial data. With this track, you’ll learn how to manipulate time series data, how to use R for time series analysis, and how time series modeling works. You’ll also cover time series forecasting in R, learning how to make predictions about the future based on data. After you finish learning how to visualize time series data, you’ll complete a case study using real data and the R skills you’ve developed so far. By the time you complete this track, you’ll have the confidence to work with your own time series data in R.

What you’ll learn

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn the core techniques necessary to extract meaningful insights from time series data.
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
Learn how to visualize time series in R, then practice with a stock-picking case study

Who this course is for

Jobs in financial markets, activities that involve critical infrastructure or utilities, and transport and logistics can all benefit from this Track

Specificatoin of Time Series in R

Publisher : Datacamp
Teacher : David S. Matteson
Language : English
Level : All Levels
Number of Course : 6
Duration : 25 hours to complete the course

Content of Time Series in R

Time Series in R

Requirements

This track is suitable for beginners. No prior knowledge is necessary, but if you have some basic familiarity with R programming, it will deepen your understanding of time series analysis