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Time Series in R

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.

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1
Manipulating Time Series Data in R

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

4 hours

Harrison Brown Headshot

Harrison Brown

Graduate Researcher

2
Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

4 hours

David S. Matteson Headshot

David S. Matteson

Associate Professor at Cornell University

3
ARIMA Models in R

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours

David Stoffer Headshot

David Stoffer

Professor of Statistics at the University of Pittsburgh

4
Forecasting in R

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

5 hours

Rob J. Hyndman Headshot

Rob J. Hyndman

Professor of Statistics at Monash University

5
Visualizing Time Series Data in R

Learn how to visualize time series in R, then practice with a stock-picking case study.

4 hours

Arnaud Amsellem Headshot

Arnaud Amsellem

Quantitative Trader and creator of the R Trader blog

6
Case Study: Analyzing City Time Series Data in R

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

4 hours

Lore Dirick Headshot

Lore Dirick

Director of Data Science Education at Flatiron School

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Instructors

  • Harrison Brown Headshot
    Harrison BrownGraduate ResearcherSee Harrison Brown's Portfolio
  • David S. Matteson Headshot
    David S. MattesonAssociate Professor at Cornell University See David S. Matteson's Portfolio
  • David Stoffer Headshot
    David StofferProfessor of Statistics at the University of PittsburghSee David Stoffer's Portfolio
  • Rob J. Hyndman Headshot
    Rob J. HyndmanProfessor of Statistics at Monash UniversitySee Rob J. Hyndman's Portfolio

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