Overview
Context
Time series are all around us, from server logs to high-frequency financial data. With this Time Series in R course offered by Data Camp, 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.
Programme Structure
Courses include:
- Manipulating Time Series Data with xts and zoo in R
- Time Series Analysis in R
- ARIMA Models in R
- Forecasting in R
- Visualizing Time Series Data in R
- Case Studies: Manipulating Time Series Data in R
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- 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.
- Jobs in financial markets, activities that involve critical infrastructure or utilities, and transport and logistics can all benefit from this Track.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions