Time Series Analysis in R: SMA, EMA, and Theta Models

Online Course

Udemy
Time Series Analysis in R: SMA, EMA, and Theta Models

What is the course about?

Time Series Analysis in R: SMA, EMA, and Theta Models
The course Time Series Analysis in R: SMA, EMA, and Theta Models is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Part 1 of a full time series analysis curriculum

Course description
  • Time Series Analysis in R: SMA, EMA, and Theta Models
  • Enhanced familiarity with R environment and functions related to time series analysis
  • Create Simple Moving Average Models
  • Create Exponential Moving Averages with and without smoothing
  • Use R’s Compound Exponential Modeling Ability
  • Understand And Use The Theta Model In R
  • The ability to use a PC or MAC at a beginner level
  • An interest in gaining programming knowledge
  • An active internet connection
  • 3.5 hours on-demand video
  • 4 articles
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Nicholas Jacobi, FSA, MAAA, CERA

Prerequisites & Facts

Time Series Analysis in R: SMA, EMA, and Theta Models

Course Topic

Math, Teaching & Academics, Time Series Analysis

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Time Series Analysis in R: SMA, EMA, and Theta Models

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Time Series Analysis in R: SMA, EMA, and Theta Models
provided by Udemy

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School: Udemy
Topic: Math, Teaching & Academics, Time Series Analysis