Workshop on Time Series Analysis

Venue Capacity: 30 people

The capacity of the venue is about 30 people but because of no-shows, we have a policy of first-come, first-served on the night in the event of the room filling up. Managing no-shows is a problem all Meetups have to deal with and this is the fairest method we can think of. While we have never been in a position to turn anyone away for capacity reasons, it is always a possibility, so please arrive early to avoid disappointment on the night. We have the upstairs room booked from 1900-2100 so if the room is in use till that time, we will gather in the bar below beforehand.

https://github.com/kaybenleroll/data_workshops

This workshop is contained in the ws_timeseries_201901/ folder

This is the first workshop in a multi-part series on time-series analysis. We assume no prior knowledge and try to make each workshop as standalone as possible.

This workshop will introduce the basic concepts of time-series analysis and forecasting, discussing the basic underlying statistical concepts of the topic, as well illustrating differences with more traditional 'machine-learning' style predictive modelling.

While this workshop series will focus on the theoretical underpinnings of the topic and I try to make this as language-neutral as possible, the technical work will be done in R, as it has a large range of packages useful for time series modelling, and in particular I will discuss the use of the package 'tidyquant'. That said, people with an interest in the topic and without a knowledge of R are welcome as it is always good to get different perspectives from people.

Please bring fully charged laptops and your own internet connectivity - tethering off a phone should be fine. Further details of software and libraries used will be provided closer to the time.