Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Highlights
Pedagogy
Top 10 Percentile
Rating & Reviews
Top 30 Percentile
Parameters
Pedagogy
Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.
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Rating & Reviews
This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.
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Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Time Series Analysis in R
What You Will Learn
In this course, you will become an expert in fitting ARIMA models to time series data using R
You will explore the nature of time series data using the tools in the R stats package
You will learn how to check the validity of an ARIMA model and you will learn how to forecast time series data
You will learn how to fit ARIMA models to seasonal data, including forecasting using the astsa package
Course Instructors
David Stoffer
Professor of Statistics at the University of Pittsburgh
Course Reviews
Average Rating Based on 3 reviews
100%