Online course on forecasting using R

[This article was first published on Hyndsight » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

I am teaming up with Revolution Analytics to teach an online course on forecasting with R. Topics to be covered include seasonality and trends, exponential smoothing, ARIMA modelling, dynamic regression and state space models, as well as forecast accuracy methods and forecast evaluation techniques such as cross-validation. I will talk about some of my consulting experiences, and explain the tools in the forecast package for R.

The course will run from 21 October to 4 December, for two hours each week. Participants can network and interact with other practitioners through an online community.

 

I will assume you already know how to use R. If you don’t, you can quickly get up to speed by doing a few online tutorials.

I will also assume that you know some basic statistics, including multiple regression. However, you will not need to know any time series or forecasting.

If you are interested, please register for the course at the following link.

Register for the course here

To leave a comment for the author, please follow the link and comment on their blog: Hyndsight » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)