Watch the recordings of past webinars and keep updated with upcoming webinars below:

UN Datathon Webinars

  • Webinar 3: Data Sources and Analysis
    Gain insights into the datasets specifically available for the UN Datathon and into other open datasets which might be useful for this competition. In addition, you will learn about some of the specific analytical tools that will be available for the Datathon. This webinar will help you better understand the resources at your disposal and will teach you how to use and get access to the these crucial analytical tools

  • Webinar 4: Pre-Datathon Webinar
    Our pre-Datathon webinar is a crucial event where we will reveal this year's Datathon theme that your project should focus on. It is hence important that you attend this webinar. We will also share the details of Datathon's arrangement, guidelines, and logistic information. If you have chosen to participate in-person at one of our eight venues, you will also receive some important last-minute information for in-person participation



Training Webinars

AWS Office Hours


Esri Office Hours

  • Introduction to Esri tools for the UN Datathon - 24 October 2023 at 10:00am
    Get an introduction to the tools Esri will make available to all participants during the UN Datathon: ArcGIS Online, ArcGIS Living Atlas of the World, and ArcGIS Notebooks. Learn how to create a map, perform analysis, create an interactive web app, and create a StoryMap to submit your project.


Oblivious Office Hours

DateStart time (EDT)End Time (EDT)Subject (click here for recordings)Connection Details
Mon, 23 Oct08:0009:00Introduction to Responsible Data Science and Hands on Privacy TechLink to event
Wed, 25 Oct10:0011:00Overview of Machine Learning Models, Setting up a Data Science PipelineLink to event
Thu, 26 Oct09:3010:30Fundamentals of Differential Private Machine LearningLink to event
Fri, 27 Oct09:3010:30Library deep dive Pandas for Responsible Data ScienceLink to event
Mon, 30 Oct09:3010:30Code a classification model like a proLink to event
Tue, 31 Oct09:3010:30Code a regression model like a proLink to event
Wed, 01 Nov09:3010:30Library deep dive Joining datasets for Responsible Data ScienceLink to event
Thu, 02 Nov09:3010:30Set yourself up for success, identifying a good data science problem and hypothesis testingLink to event
Fri, 03 Nov06:0020:00Tech desk: Troubleshooting & Debugging on Slack / DiscordLink to event
Sat, 04 Nov06:0020:00Tech desk: Troubleshooting & Debugging on Slack / DiscordLink to event
Sun, 05 Nov06:0020:00Tech desk: Troubleshooting & Debugging on Slack / DiscordLink to event