Tag: Workshops

Generalized Additive Models in R workshop

Learn how to fit Generalized Additive Models in R! Join our workshop on Generalized Additive Models in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: Generalized Additive Models in R


Date: Thursday, April 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)


Speaker: Gavin Simpson, Gavin is a statistical ecologist and freshwater ecologist/palaeoecologist. He has a B.Sc. in Environmental Geography and a Ph.D. in Geography from University College London (UCL), UK. After submitting his Ph.D. thesis in 2001, Gavin worked as an environmental consultant and research scientist in the Department of Geography, UCL, before moving, in 2013, to a research position at the Institute of Environmental Change and Society, University of Regina, Canada. Gavin moved back to Europe in 2021 and is now Assistant Professor of Applied Statistics in the Department of Animal and Veterinary Sciences at Aarhus University, Denmark. Gavin’s research broadly concerns how populations and ecosystems change over time and respond to disturbance, at time scales from minutes and hours, to centuries and millennia. Gavin has developed several R packages, including gratia, analogue, and cocorresp, he helps maintain the vegan package, and can often be found answering R- and GAM-related questions on StackOverflow and CrossValidated.



Description: Generalized Additive Models (GAMs) were introduced as an extension to linear and generalized linear models, where the relationships between the response and covariates are not specified up-front by the analyst but are learned from the data themselves. This learning is achieved by representing the effect of a covariate on the response as a smooth function, rather than following a fixed form (linear, quadratic, etc). GAMs are a large and flexible class of models that are widely used in applied research because of their flexibility and interpretability.

The workshop will explain what a GAM is and how penalized splines and automatic smoothness selection methods work, before focusing on the practical aspects of fitting GAMs to data using the mgcv R package, and will be most useful to people who already have some familiarity with linear and generalized linear models.



Minimal registration fee: 20 euro (or 20 USD or 750 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!




Survival Analysis with R and Python workshop

Learn more about Survival Analysis and how to apply it both in R and in Python! Join our workshop on Survival Analysis with R and Python which is a part of our workshops for Ukraine series. 
Here’s some more info: 
Title: Survival Analysis with R and Python
Date: Thursday, March 16th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) 
Speaker: Christopher Peters is the Principal Data Scientist and ninth employee at Zapier where the mission is to make automation work for everyone. For the last decade, he’s applied survival analysis in R and Python, along with statistics and econometrics to affect positive change for people. He learned many of his skills through self-study with friends as well as during his education at Louisiana State University where he completed his terminal degree, Masters of Applied Statistics. There he was privileged to be advised by reliability analysis giant, Professor Luis A. Escobar. His committee also included co-founder of Penalized B-splines and co-author of The Joys of P-Splines, Professor Brian Marx. As well as Emeritus Professor of Econometrics R. Carter Hill, co-author of Principles of Econometrics. Christopher was recently invited to review the book Statistical Methods for Reliability Data, 2nd Edition, co-authored by Distinguished Professor William Q. Meeker, Professor Luis A. Escobar, and Emeritus Associate Professor Francis G. Pascual. He also recently reviewed Telling Stories with Data by Assistant Professor Rohan Alexander. He loves being in nature and his interests lie in the interactions of technology and nature and span a wide variety of topics related to business, economics and causal inference. You can find him on Twitter at: @statwonk or at http://statwonk.com.
Description: How can we speed up growth? Bring about or prevent important events? Design technology and human processes for high-reliability? Survival Analysis (time-to-event) allows us to wisely answer these questions by allowing us to accurately and precisely allocate credibility among their possible answers. Our interest in future events is insatiable for many serious reasons. Through the benefit of systemization, we can use time-to-event analysis to better understand the possibilities of future events and how they can be reconfigured for the benefit of people and ourselves. Whether it’s causing or preventing important events, or just better understanding them, time-to-event analysis (aka survival or reliability analysis) affords us these abilities through the benefits of systemization. In this two hour workshop, I’ll give a gentle introduction to industrial and commercial application of time-to-event analysis technology in R and Python side-by-side. The workshop will focus on how you can best get started with these technologies and begin to answer these questions yourself on a deeper-level for the purpose of innovation. As part of that, I’ll share what I’ve learned over a decade of applying this high-technology in the SaaS software industry.
Minimal registration fee: 20 euro (or 20 USD or 750 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!



Python for R users workshop

Learn how to combine both R and Python in the same project! Join our workshop on Python for R Users to learn more about Python & how to combine it with R which is a part of our workshops for Ukraine series. 
Here’s some more info: 
Title: Python for R users
Date: Thursday, February 16th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) 
Speaker: Dr. Johannes B. Gruber, Post-Doc Researcher at the Department of Communication Science at Vrije Universiteit Amsterdam and open-source developer.
Description: R users sometimes hear about the fabulous advantages of Python for advanced data science and modelling. While these claims are regularly exaggerated, it never hurts to be able to use more tools. This workshop will teach you to use Python together with R in the same project. That way, you can keep using the data science tool chain you already know and like in R (e.g., data processing and plotting), while employing tools from the Python world where needed, for example, for modelling. The workshop will include unsupervised machine learning with scikit-learn and BERTopic. We use the excellent reticulate package in a quarto+RStudio workflow to accomplish this, yet the knowledge is transferable to other tools.
Minimal registration fee: 20 euro (or 20 USD or 750 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!


Using Google Trends and GDELT datasets to explore societal trends

Learn how to use novel datasets such as Google Trends and GDELT, while contributing to charity! Join our workshop on Using Google Trends and GDELT datasets to explore societal trends which is a part of our workshops for Ukraine series. 
Here’s some more info: 
Title: Using Google Trends and GDELT datasets to explore societal trends
Date: Thursday, January 12th 18:00 – 20:00 CET (Rome, Berlin, Paris time zone)
Speaker: Harald Puhr, PhD in international business and assistant professor at the University of Innsbruck. His research and teaching focuses on global strategy, international finance, and data science/methods—primarily with R. As part of his research, Harald developed the globaltrends package (available on CRAN) to handle large-scale downloads from Google Trends.
Description: Researchers and analysts are frequently interested in what topics matter for societies. These insights are applied to research fields ranging from Economics to Epidemiology to better understand market demand, political change, or the spread of infectious diseases. In this workshop, we consider Google Trends and GDELT (Global Database of Events, Language, and Tone) as two datasets that help us to explore what matters for societies and whether these issues matter everywhere. We will use these datasets in R and Google Big Query for analysis of online search volume and media reports, and we will discuss what they can tell us about topics that move societies.
Minimal registration fee: 20 euro (or 20 USD or 750 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 efficiency analysis in R workshop

Learn how to use Introduction to efficiency analysis in R, while contributing to charity! Join our workshop on Introduction to efficiency analysis in R that is a part of our workshops for Ukraine series. 

Here’s some more info: 
Title: Introduction to efficiency analysis in R
Date: Thursday, November 17th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)
Speaker: Olha Halytsia, PhD Economics student at the Technical University of Munich. She has a previous working experience in research within the World Bank project, also worked at the National Bank of Ukraine.
Description: In this workshop, we will cover all steps of efficiency analysis using production data.  Firstly, we will introduce the notion of efficiency with a special focus on technical efficiency and briefly discuss parametric (stochastic frontier model) and non-parametric approaches to efficiency estimation (data envelopment analysis). Subsequently, with help of “Benchmarking” and “frontier” R packages, we will get estimates of technical efficiency and discuss the implications of our analysis. This workshop may be useful for beginners who are interested in working with input-output data and want to learn how R can be used for econometric production analysis.
Minimal registration fee: 20 euro (or 20 USD or 750 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!

Classification modeling in R for profitable decisions workshop

Learn classification modeling to improve your decision-making for your business or use these skills for your research in our 2-part workshop! These workshops are a part of our workshops for Ukraine series, and all proceeds from these workshops go to support Ukraine. You can find more information about other workshops, as well as purchase recordings of the previous workshops here.

In the first part of the workshop titled Classification modeling for profitable decisions, which will take place online on Thursday, October 20th, 18:00 – 20:00 CET, we will cover the theoretical framework that you need to know to perform classification analysis and cover the key concepts. 

The second part of the workshop that will take place on Thursday, October 27th, 18:00 – 20:00 CET will include hands-on practice in R, so that you can learn how to implement the concepts covered in the first part in R. 

You can register for each part separately, so you can choose whether you wish to attend both parts or just part 1 or part 2.   Below you can find more information about each part and how to register for it: 

PART 1
Title: Classification modeling for profitable decisions: Theory and a case study on firm defaults. 
Date: Thursday, October 20th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)
Speaker: Gábor Békés is an Assistant Professor at the Department of Economics and Business of Central European University, a research fellow at KRTK in Hungary, and a research affiliate at CEPR. His research is focused on international economics; economic geography and applied IO, and was published among others by the Global Strategy Journal, Journal of International Economics, Regional Science and Urban Economics or Economic Policy and have authored commentary on VOXEU.org. His comprehensive textbook, Data Analysis for Business, Economics, and Policy with Gábor Kézdi was publsihed by Cambridge University Press in 2021. 
Description: This workshop will introduce the framework and methods of probability prediction and classification analysis for binary target variable. We will discuss the key concepts such as probability prediction, classification threshold, loss function, classification, confusion table, expected loss, the ROC curve, AUC and more. We will use logit models as well as random forest to predict probabilities and classify. In the workshop we will focus on a case study on firm defaults using a dataset on financial and management features of firms. The workshop material is based on a chapter and a case study from my textbook. Code in R and Python are available from the Github repo, and the data is available as well. The workshop will introduce key concepts, but the focus will be on data wrangling and modelling decisions we make for a real life problem. There will be a follow-up workshop focusing on the coding side of the case study. 
Minimal registration fee: 20 euro (or 20 USD or 750 UAH)
Suggested registration fee for professionals: 50 euro (if you can afford it, our suggested registration fee for this workshop is 50 euro. If you cannot afford it, you can still register by donating 20 euro).

Remember that you can register even if you will not be able to attend in person as all registered participants will get a recording.

How can I register?
  • Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 euro. 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 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/3PFxtNA and donate at least 20 euro (or 17 GBP or 23 USD or 660 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).


PART 2
Title: Classification modelling for profitable decisions: Hands on practice in R
Date: Thursday, October 27th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)
Speaker: Ágoston Reguly is a Postdoctoral Fellow at the Financial Services and Innovation Lab of Scheller College of Business, Georgia Institute of Technology. His research is focused on causal machine learning methods and their application in corporate finance. He obtained his Ph.D. degree from Central European University (CEU), where he has taught multiple courses such as data analysis, coding, and mathematics. Before CEU he worked for more than three years at the Hungarian Government Debt Management Agency.
Description: This workshop will implement methods of probability prediction and classification analysis for the binary target variable. This workshop is a follow-up to Gábor Békés’s workshop on the key concepts and (theoretical) methods for the same subject. We will use R via RStudio to apply probability prediction, classification threshold, loss function, classification, confusion table, expected loss, the ROC curve, AUC, and more. We will use linear probability models, logit models as well as random forests to predict probabilities and classify. In the workshop, we follow the case study on firm defaults using a dataset on financial and management features of firms. The workshop material is based on a chapter and a case study from the textbook of Gábor Békés and Gábor Kézdi (2021): Data Analysis for Business, Economics, and Policy, Cambridge University Press. The workshop will not only implement the key concepts, but the focus will be on data wrangling and modeling decisions we make for a real-life problem. Minimal registration fee: 20 euro (or 20 USD or 750 UAH) Suggested registration fee for professionals: 50 euro (if you can afford it, our suggested registration fee for this workshop is 50 euro. If you cannot afford it, you can still register by donating 20 euro).

How can I register?
  • Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 euro. 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 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).

How can I sponsor a student?
  • Go to https://bit.ly/3wvwMA6 or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 23 USD or 660 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).

Looking forward to seeing you during the workshop!

TidyFinance: Empirical asset pricing in R workshop

Learn how to do empirical asset pricing in R, while contributing to charity! Join our workshop on TidyFinance: Empirical asset pricing in R which is a part of our workshops for Ukraine series. 

Here’s some more info: 
Title: TidyFinance: Empirical asset pricing in R
Date: Thursday, October 13th 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)
Speaker: Patrick Weiss, PhD, CFA is a postdoctoral researcher at Vienna University of Economics and Business. Jointly with Christoph Scheuch and Stefan Voigt, Patrick wrote the open-source book www.tidy-finance.org , which serves as the basis for this workshops. Visit his webpage for additional information.
Description: This workshop explores empirical asset pricing and combines explanations of theoretical concepts with practical implementations. The course relies on material available on www.tidy-finance.org and proceeds in three steps: (1) We dive into the most used data sources and show how to work with data from WRDS, forming the basis for the analysis. We also briefly introduce some other possible sources of financial data. (2) We show how to implement the capital asset pricing model in rolling-window regressions. (3) We introduce the widely used method of portfolio sorts in empirical asset pricing. During the workshop, we will combine some theoretical insights with hands-on implementations in R.


How can I register?
  • Go to 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/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 750 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 of here.
Looking forward to seeing you during the workshop!

Fundamentals of Exploratory and Inferential Spatial Data Analysis in R workshop

Learn how to work with Spatial Data in R, while contributing to charity! Join our workshop on Fundamentals of Exploratory and Inferential Spatial Data Analysis in R which is a part of our workshops for Ukraine series. 

Here’s some more info: 

Title: Fundamentals of Exploratory and Inferential Spatial Data Analysis in R
Date:  Thursday, September 13th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)
Speaker: Denys Dukhovnov, Ph.D. student in Demography at University of California, Berkeley. His research revolves around small-area estimation and geographic inequalities in mortality in the United States. He holds a previous M.A. degree in Data Analytics and Applied Social Research, held multiple research positions in social science fields, and currently works as a researcher at the Human Mortality Database (HMD).
Description: This workshop will provide a hands-on overview of the exploratory and inferential spatial data analysis in R. The attendees will become familiar with statistical concepts of spatial adjacency and dependence and with various methods of measuring it (using such indicators as Moran’s I, Geary’s C, LISA/ELSA plots, etc.), as well as with statistical challenges of working with spatial data (e.g. modifiable areal unit problem or MAUP). In addition, the workshop will provide a foundational overview of inferential spatial analysis, specifically through the application of the basic types of spatial econometric regression models (SAR, SLX, SEM models). An emphasis will be made on the interpretation and reporting of the model performance and results. Prior familiarity with spatial data types and OLS regression is helpful, but not necessary.

How can I register?
  • Go to https://bit.ly/3wvwMA6 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 the 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 organizations 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/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 750 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, and 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.

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 of here.

Looking forward to seeing you during the workshop!

Charity R Workshops in support of Ukraine

Learn R (as well as Python and other tools for data analysis) and contribute to charity at the same time. 

Since April, we have been running a series of weekly workshops on R and other tools for data analysis, all proceeds from which go to support Ukraine. Our workshops cover topics for people with different prior levels of experience in R: from complete beginners to experienced users. All workshops are recorded, so you can register even if you are not able to attend in person!

Introduction to R Shiny

 Our next workshop on R will take place on August 4th and will cover Introduction to R Shiny.  You will (a) learn how to set up basic statistical simulations, (b) learn how to create data-based applications, and (c) cover the nuts and bolts of the user interface in Shiny.

 To register you can donate 20 euros here or here and fill in this registration form, attaching the donation confirmation which will be emailed to you. If you are a student who is not able to pay the registration fee, you can sign up for the waiting list here. If you are not interested in this workshop but would like to support us, make a donation & support students in learning, you can sponsor a student by donating 20 euros per student here or here and filling in this form. You can read more about this workshop here.
Introduction to Quarto

 We also will have a workshop on Introduction to Quarto on August 11th. You will learn how to create and publish documents using Quarto, a modern platform for creating professional articles, slide decks, websites, and other publications. By way of an introductory example, participants will be walked through the process of crafting and publishing their own personal professional website.

 To register you can donate 20 euros here or here  and fill in this registration form, attaching the donation confirmation which will be emailed to you. If you are a student who is not able to pay the registration fee, you can sign up for the waiting list here. If you are not interested in this workshop but would like to support us, make a donation & support students in learning, you can sponsor a student by donating 20 euros per student here or here and filling in this form. You can read more about this workshop here.

 Previous workshops

 If you make a donation, you can also get recordings and materials of any of our previous workshops. We have a wide range on workshops in R available from Introduction to R in Tidyverse and Data Visualization with ggplot to Text Data Analysis in R, Web Scraping in R and Introduction to Spatial Data Analysis in R. You can read more information about all of our past workshops and find out how to get access to the recordings and the materials here (scroll to ‘previous workshops’ section).

 More information

 You can find more information about any of our upcoming workshops here. You can also subscribe to our mailing list to get updates about the future workshops here. If you experience any issues with registration process or have any questions or suggestions, feel free to email me at [email protected]

DN Unlimited 2020: Europe’s largest data science gathering | Nov 18 – 20 online

  • The DN Unlimited Conference will take place online for the first time this year
  • More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact, including from The New York Times, IBM, Bayer, and Alibaba Cloud
  • Fully remote networking opportunities via a virtual hub

Europe’s largest data science community launches new digital platform for this year’s conference

The Data Natives Conference, Europe’s biggest data science gathering, will take place virtually and invite data scientists, entrepreneurs, corporates, academia, and business innovation leaders to connect on November 18-20, 2020. The conference’s mission is to connect data experts, inspire them, and let people become part of the equation again. With its digital networking platform, DN Unlimited expects to reach a new record high with 5000+ participants. Visitors can expect keynotes and panels from the industry experts and a unique opportunity to start on new collaborations during networking and matchmaking sessions. In 2019, the sold-out Data Natives conference gathered over 3000 data, technology professionals and decision-makers from over 30 countries, including 29 sponsors, 45 community and media partners, and 176 speakers.The narrative of DN Unlimited Conference 2020 focuses on assisting the digital transformation of businesses, governments, and communities by offering a fresh perspective on data technologies – from empowering organizations to revamp their business models to shedding light on social inequalities and challenges like Climate Change and Healthcare accessibility.

Data science, new business models and the future of our society

In spring 2020, the Data Natives community of 80.000 data scientists mobilised to tackle the challenges brought by the pandemic – from the shortage of medical equipment to remote care – in a series of Hackcorona and EUvsVirus hackathons. Through the collaboration of governments such as the Greek Ministry for Digital Governance, institutions such as the Charité and experts from all over Europe, over 80 data-driven solutions have been developed. DN Unlimited conference will continue to facilitate similar cooperation.

The current crisis demonstrates that only through collaboration, businesses can thrive.

While social isolation may be limiting traditional networking opportunities, we are more equipped than ever before to make connections online. “…The ability to connect to people and information instantly is so common now. It’s just the beginning of an era of even more profound transformation. We’re living in a time of monumental change. And as the cloud becomes ambiguous, it’s literally rewriting entire industries” – says Gretchen O’Hara, Microsoft VP; DN Unlimited & Humanaize Open Forum speaker.

The crisis has called for a digital realignment from both companies and institutions. Elena Poughia, the Founder of Data Natives, perceives the transformation as follows: “It’s not about deploying new spaces via data or technology – it’s about amplifying human strengths. That’s why we need to continue to connect with each other to pivot and co-create the solutions to the challenges we’re facing. These connections will help us move forward.” 

The DN Unlimited Conference will bring together data & technology leaders from across the globe – Christopher Wiggins (Chief Data Scientist, The New York Times), Lubomila Jordanova (CEO & Founder, Plan A), Angeli Moeller (Bayer AG, Head Global Data Assets), Jessica Graves (Founder & Chief Data Officer, Sefleuria) and many more will take on the virtual stages to talk about the growing urge for global data literacy, resources for improving social inequality and building a data culture for agile business development. 

On stage among others:
  • Erika Cheung, Executive Director, Ethics in Entrepreneurship
  • Cory Doctorow, Science Fiction Author, Activist, and Journalist.
  • Whurley (William Hurley), Eisenhower Fellow, a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
  • Alistair Croll, Founder, Solve for Interesting
  • Clare Jones, Chief Commercial Officer, what3words
  • Mark Turrell, Orcasci, CEO
  • And many more …