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Time Series Analysis in R

4.53 (78 Ratings)


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About this course

Time-Series Analysis comprises methods for analyzing data on time-series to extract meaningful statistics and other relevant information. Time-Series forecasting is used to predict future values based on previously observed values. You will learn several methods such as decomposition, irregularity concept, end-to-end case study for de-composition method to get a realistic overview of how things work in the industry. Understand the basics of Model Forecast Theory and its real-life application.

Skills covered

  • Time series analysis
  • Model forecast theory

Course Syllabus

Time Series Analysis in R

  • Base of time series forecasting
  • Approaches used for time series forecasting
  • Decomposition method
  • Irregularity concept in decomposition method
  • Case study on decomposition method
  • Model forecast theory
  • Model forecast hands-on
  • Hands-on exercise on time series forecasting
  • Hands-on exercise using exponential smoothing function

Course Certificate

Get Time Series Analysis in R course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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