Introduction to Time Series Analysis and Forecasting in R

Introduction to Time Series Analysis and Forecasting in R

What you’ll learn

  • use R to perform calculations with time and date based data
  • create models for time series data
  • use models for forecasting
  • identify which models are suitable for a given dataset
  • visualize time series data
  • transform standard data into time series format
  • clean and pre-process time series
  • create ARIMA and exponential smoothing models
  • know how to interpret given models
  • identify the best time series libraries for a given problem
  • compare the accuracy of different models

Who this course is for:

  • this course is for people working with time series data
  • this course is for people interested in R
  • this course is for people with some beginner knowledge in both R programming and statistics
  • this course is for people working in various fields like (and not limited to): academia, marketing, business, econometrics, finance, medicine, engineering and science
  • generally if you have time series data on your table and you do not know what to do with it, take this course!

Can I download Introduction to Time Series Analysis and Forecasting in R course?

You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.
Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Introduction to Time Series Analysis and Forecasting in R course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.
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