Category: R

Spatial modelling with GAMs in R workshop

Join our workshop on Spatial modelling with GAMs in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Spatial modelling with GAMs in R

Date: Thursday, October 31st, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Sophie Lee is a statistician and educator who teaches a range of statistics and R coding courses to non-statisticians. Her goal is to provide accessible, engaging training to prove that statistics does not need to be scary! She has a PhD in Spatio-temporal Epidemiology from LSHTM and is a Fellow of the Higher Education Academy. Her research interests lie in spatial data analysis, planetary health, and Bayesian modelling.

Description: When modelling spatial data we are generally unable to use traditional modelling approaches, such as generalised linear models (GLMs), as the assumption that observations are independent of one another may be invalid. This is due to underlying similarities, including unobservable behaviours, climate, and other characteristics, that are shared between observations close to one another. There are extensions of GLMs that can be used to overcome this lack of independence between observations, often with the inclusion of structured random effects, that try to take account of the underlying spatial relationships. The issue arises when deciding how to structure these spatial random effects: how close is close enough to consider observations no longer independent?

This workshop introduces generalised additive models (GAMs) as a method for generating the underlying spatial structure needed to define spatially structured random effects. We will see how penalised smoothing splines can be applied to coordinates to generate a spatial plane with minimal user assumptions. This ensures the spatial model is relevant and unique to the setting being studied. Using the mgcv package in R, we will apply this approach to real-world data, incorporating the flexible spatial structure into a random effects model, which then can be interpreted similarly to any other spatial model.


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?



  • 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?


  • 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!

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?



  • 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?


  • 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!

Probabilistic Network Inference and Analysis in R and Python workshop

Join our workshop on Probabilistic Network Inference and Analysis in R and Python, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Probabilistic Network Inference and Analysis in R and Python

Date: Thursday, October 3rd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Guillermo de Anda Jáuregui is a Mexican researcher at the National Institute of Genomic Medicine. His work focuses on using complex systems and data science to address biomedical and public health questions. Guillermo is a member of the Researchers for Mexico program, the National Researcher System, and a collaborator at the Center for Complexity Sciences at the Universidad Nacional Autónoma de México. With a strong interdisciplinary approach, his research bridges the gap between data science and complex biological phenomena.


Description: Complex systems with many interacting elements often exhibit non-trivial patterns of statistical dependencies. Modeling these systems as complex networks provides a powerful framework to characterize them at macro, meso, and microscale levels. In this workshop, we will explore the fundamentals of reconstructing such networks, analyze the significance of different structures, and apply these concepts to the use case of gene regulation. Participants will gain hands-on experience in understanding and comparing network structures and learn how these models can be used to uncover the dynamics of complex systems.


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


Please note that the registration confirmation will be sent to the registered participants around 1 day before the workshop.


How can I register?



  • 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?


  • 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!








Introduction to Interpretable Machine Learning in R

Join our workshop on Introduction to Interpretable Machine Learning in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Interpretable Machine Learning in R

Date: Thursday, October 10th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Andreas Hofheinz, Andreas is a Data Analytics Consultant at Munich Re, holding a master’s degree in statistics from LMU Munich. In his role, he focuses on designing, implementing, and managing data analytics and AI use cases across the company, as well as delivering international Data & AI training sessions. Before joining Munich Re, Andreas worked in consulting, primarily on digital transformation projects across various industries. He has a keen interest in open source programming and is co-author of the leafdown and counterfactuals R packages.

Description: Interpretable machine learning (IML) methods are crucial for ensuring model trust, accountability, regulatory compliance, and enhancing model performance. This course provides an introduction to key concepts and methods in IML.

We start by exploring the differences between interpretable models, such as linear regression and decision trees, and black box models, like random forests and gradient boosting.

The focus then shifts to interpreting black box models using model-agnostic methods, which separate explanation from the model itself. You’ll learn about global model-agnostic methods like Partial Dependence Plots (PDP) and Permutation Feature Importance, which describe average model behavior, and local model-agnostic methods like Individual Conditional Expectation (ICE) plots and Local Surrogate Models (LIME) for individual predictions. The hands-on, code-first approach ensures you gain practical experience with several IML methods using R.

It is recommended to have at least basic machine learning knowledge and some programming experience (ideally in R).


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?



  • 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?


  • 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!

DataCamp Free Access Week | Aug 26 – Sept 1

Access DataCamp’s entire platform for free, including all 500+ courses, for an entire week.


No catch, no credit card required—just unlimited learning across Python, R, SQL, Generative AI, and much more.


Sign up here.


What is Free Access Week and how do I get access?

Free Access Week is exactly that, a free week to explore all of DataCamp’s features for zero cost.

From August 26 (8 AM EST) – September 1 (11.59 PM EST), anyone can access DataCamp Premium features with a free DataCamp account.

All courses, products, and features are available in the browser, so you don’t need any additional software to access DataCamp.

Don’t have an account? Simply sign up here, and you’ll gain access on August 26.


What can you access during Free Week?


Short answer—everything DataCamp has to offer.

  • 500+ interactive data and AI courses: Including Introductions to R, ChatGPT, Python, SQL, and more. Alongside, advanced courses in MLOps, deep learning, image processing, and more.

  • Challenge yourself with skill and career tracks: Start from zero and work your way through tailored learning paths. Master some of the world’s most in-demand technologies and prepare yourself for a career in data and AI.

  • Access 150+ real-life projects: Apply your skills in real-world scenarios and build up your data portfolio.

  • Prove yourself with an industry-leading certification program: Starting by validating your fundamental data or AI skills, or prove your job-ready skills as a Data Scientist, Data Analyst, or Data Engineer.

Data science and AI learning for all levels

DataCamp is for everyone: whether you have no prior data skills or you’re proficient in multiple programming languages.

If you’re looking for a starting point, check out our interactive course list below to give you a glimpse into our 500+ course library:

Beginners courses:

Intermediate courses:

Advanced courses:

Premium projects to test skills in real-world scenarios and build your portfolio:


Beginner:


Intermediate:


Advanced:

Don’t miss this opportunity to enjoy unlimited, world-class data and AI learning. 


Register now for access on August 26, 8 AM EST.

Creating R Functions workshop

Join our workshop on Creating R Functions, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Creating R Functions

Date: Thursday, September 26th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Simisani Ndaba is a Teaching Assistant in the Department of Computer Science at the University of Botswana. Her research interests are in Data Science and Machine Learning.

She is the founder and co-organiser of R-Ladies Gaborone, an occasional blogger and enjoys creating data visualisation.


Description: This is a beginner friendly workshop on creating R functions, testing, error handling, and documenting them. Functions are written in order to make repetitive operations using a single command. In this lesson, we’ll learn how to write functions so that we can repeat several operations with a single command.


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?



  • 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?


  • 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!

Join DataCamp for a Month of Free Data & AI Literacy Events

Throughout September, DataCamp has brought together a selection of the world’s data and AI experts for a month of events, podcasts, articles, and more—all focused on driving data and AI literacy for individuals and businesses.


The lineup includes leaders from Microsoft, JPMorgan Chase & Co, Colgate-Palmolive, Stanford University, DataBricks, and many more.


Plus, registration is completely free. Follow this link to browse the full lineup and save your seat.


Addressing the skills gap: Why data and AI literacy? 


Accelerated by generative AI adoption, building data and AI skills has never been more vital for a successful career.


For those looking to advance their careers, Microsoft found that 82% of employees will need new skills to keep up with the growth of AI.


An independent study from DataCamp uncovered how 62% of leaders believe their organization has an AI literacy skill gap, while 86% indicated data literacy to be vital for their teams’ daily tasks.


In other words, the time to upskill in data and AI is now.

What to expect this September


To tackle the skills gap, DataCamp is combining webinars, interactive sessions, podcasts, and more exploring how anyone can develop skills to thrive in the data and AI era—regardless of their starting point.


From working more effectively with ChatGPT to building data and AI skills across your organization, learn how the world’s top organizations are adapting their workforces today so they drive success with new technologies.


Plus, learn which data and AI skills leaders value most and learning resources to help you upskill. 

Browse events and pick your favorites


Whether you’re looking for an interactive webinar with a Technical Evangelist at Microsoft or the Field Chief Data Strategy Officer at Databricks, you’ll find specialist data and AI events that meet your career needs.


With sessions designed for complete beginners to advanced data practitioners or C-Suite leaders, simply head to DataCamp’s event page and start exploring.


Register now for all events for free. No catch, no hidden fees


From webinars and podcasts to cheat sheets and whitepapers, Data & AI Literacy Month is free for everyone.


Don’t miss this opportunity to learn from the world’s data and AI literacy experts and build your skills for this new digital age.


Register Now

Advanced Panel Data Analysis in R workshop

Join our workshop on Advanced Panel Data Analysis in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Advanced Panel Data Analysis in R

Date: Thursday, September 19th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Tobias Rüttenauer is an Assistant Professor of Quantitative Social Science at University College London. His research focuses on the social aspects of climate change and environmental pollution, as well as quantitative research methods, particularly in spatial and panel data methods.

Description: This course provides a hands-on introduction to advanced panel data methods. It briefly covers the basic concepts of random effects (RE) and fixed effects (FE) estimators. Moving beyond the fundamentals, the workshop offers insights into recent developments and advances in panel data methods, such as the inclusion of individual or group-specific slopes and the identification of time-varying treatment effects via impact functions and novel Diff-in-Diff estimators.


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



How can I register?



  • 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?


  • 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!

Getting creative with ggplot2 workshop

Join our workshop on Getting creative with ggplot2, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Getting creative with ggplot2

Date: Thursday, September 12th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Georgios Karamanis is a data visualization designer, psychiatrist and researcher, based in Uppsala, Sweden. With a strong background in visual arts and design, he uses almost exclusively R and ggplot2 to make elegant and creative data visualizations.

Description: Creative data visualizations stand out and can help get your message across more easily. But how do you achieve this? In this hands-on workshop, we will look at examples and explore ways to use ggplot2 and related packages to make your visualizations more eye-catching and personal.


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



How can I register?



  • 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?


  • 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!


Introduction to Bayesian Structural Equation Modeling in R workshop

Join our workshop on Introduction to Bayesian Structural Equation Modeling in R, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Introduction to Bayesian Structural Equation Modeling in R

Date:  Thursday, August 29th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Esteban Montenegro-Montenegro serves as a professor and researcher at California State University, Stanislaus. He holds a doctoral degree in Educational Psychology with a concentration in Research, Methods, Statistics, and Evaluation from Texas Tech University. Currently, Dr. Montenegro devotes his time to teaching foundational topics in statistics using R. Moreover, he is actively engaged in learning and instructing advanced concepts in Bayesian inference and latent variable models.

Description: The workshop is designed to offer an introductory overview of Structural Equation Modeling (SEM) in R, followed by a simplified explanation of Bayesian inference through various examples. In the latter part of the workshop, participants will learn to estimate a Bayesian SEM model using the blavaan package in R. This workshop is ideal for those seeking a user-friendly introduction to SEM and Bayesian inference in R. Basic skills in R, such as opening datasets, understanding objects, functions, and loops, are assumed due to time constraints. Comprehensive materials and additional examples will be provided for further practice at home.

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



How can I register?



  • 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?


  • 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!