Part 1 of a full time series analysis curriculum
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
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
This comprehensive Time Series Analysis in R: SMA, EMA, and Theta Models curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Time Series Analysis in R: SMA, EMA, and Theta Models course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Nicholas Jacobi, FSA, MAAA, CERA
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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