Analyzing Time Series at Scale with Cluster Analysis in R workshop

Join our workshop on Analyzing Time Series at Scale with Cluster Analysis in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Analyzing Time Series at Scale with Cluster Analysis in R

Date: Thursday, October 17th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Rami Krispin is a data science and engineering manager who mainly focuses on time series analysis, forecasting, and MLOps applications.

He is passionate about open source, working with data, machine learning, and putting stuff into production. He creates content about MLOps and recently released a course – Data Pipeline Automation with GitHub Actions Using R and Python, on LinkedIn Learning, and is the author of Hands-On Time Series Analysis with R.

Description: One of the challenges in traditional time series analysis is scalability. Most of the analysis methods were designed to handle a single time series at a time. In this workshop, we will explore methods for analyzing time series at scale. We will demonstrate how to apply unsupervised methods such as cluster analysis and PCA to analyze and extract insights from multiple time series simultaneously. This workshop is based on Prof. Rob J Hyndman’s paper about feature-based time series analysis.

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)

Please note that the registration confirmation email will be sent 1 day before the workshop.

How can I register?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.

How can I sponsor a student?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

Looking forward to seeing you during the workshop!

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Analyzing Time Series at Scale with Cluster Analysis in R workshop was first posted on September 17, 2024 at 2:59 pm.