Introduction to Time Series Analysis and Forecasting in R

Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics

4.47 (2766 reviews)

Udemy

platform

English

language

Data Science

What you will 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

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Introduction to Time Series Analysis and Forecasting in R offers a comprehensive dive into time series analysis using R. The course layout is accessible for beginners, covering essential theory and providing ample practical examples that show how to efficiently apply various techniques. While exercises could be expanded and mathematical introductions more consistent, the wealth of resources suggested and the clear delivery of concepts make this an invaluable starting point in time series analysis. Moreover, the course updates through 2019 ensure its relevance and applicability for modern learners.

What We Liked

The course covers a wide range of time series analysis techniques and models in R, providing a solid foundation for beginners.
The instructor explains concepts clearly and concisely, with useful coding tips along the way and practical examples to illustrate theory.
Ample resources and bibliographical references are suggested, guiding learners towards deeper exploration.
Well-structured course with an emphasis on providing R examples and functions for every topic, allowing for a smooth application of learned concepts.

Potential Drawbacks

Lack of basic mathematical theory introduction in some modules might leave advanced learners wanting more depth.
Limited variety in exercises to practice coding skills, which could benefit from additional programming tasks alongside presentations.
The video occasionally faces playback issues and could improve on illustrating specific time period shocks within plots.
Some modules might introduce jargon before teaching related concepts, making it challenging for learners unfamiliar with the topic.