The 100 Days of Data.trek Challenge

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Have you chosen your good resolutions for 2021? AÉBINUM and IVADO invite you to learn how to program and to initiate yourself to machine learning: take up the challenge!

Please note that the learning sessions and tutorials will be bilingual, based on the make-up of each group. The materials used and created by the instructors will be primarily in English. Instructors will be bilingual and will be able to answer your questions in both English and French.

Are you up for the Challenge?

What better resolution for the year 2021 than to work a new habit into your routine: work on a project and code for one hour a day! AÉBINUM and IVADO invite you to join the 100 Days of Data.trek Challenge community! It’s the perfect opportunity to get acquainted with data analysis and machine learning, all while completing a project end-to-end.

What’s involved in the Challenge, exactly?

The 100 Days of Data.trek Challenge is about mixing practicality and pleasure! It all starts with a dataset and an idea for a project. That’s your department. We take care of introducing you to your preferred coding language among R, Python and Julia. So let the 100 days begin! Week to week, we’ll be offering different workshops and tutorials to help you move your project forward. We’ll be covering a range of topics, including managing an analysis project, using versioning tools, data visualization, machine learning concepts, and many more. The goal is to enable you to develop and acquire new techniques/skills in a motivating community-based context. The Challenge will get underway with an afternoon of coding workshops ending in a hacky hour, providing the perfect moment to network and chat with other participants—and, for those interested in working as a team, to find partners. In a welcome change from the usual Zoom sessions, you’ll have access to the Challenge’s GatherTown space: you’ll be free to wander around, check out the workshops, meet people, chat over a virtual coffee—even get in a quick game of Scattergories! After this initial afternoon, it’s your time to shine…

Feel free to ask questions, share your successes and answer other participants’ questions on the Challenge Slack channel, as well as on the various social media accounts using the hashtags #datatrek2021 and/or #randonnees2021. You can also choose to tackle various sub-challenges and accumulate points all throughout the Challenge. Reach a certain number of points, and you’ll receive a certificate of participation in the 100 Days of Data.trek Challenge from IVADO! As mentioned above, you’ll have access to various workshops and tutorials throughout the 100 days—not to mention a few social gatherings to celebrate milestones along the way. Then, on the 100th day, we’ll have a chance to celebrate your accomplishments together.

Watch the other Challenge videos here!

Why 100 days?

Because completing a data analysis project and developing skills takes time. The 100 Days of Data.trek is also an occasion to learn coding or refine your coding skills, so it will take a certain amount of time to put those new learnings into practice. We realize that 100 days can seem like a long time… so that’s why we’ve planned everything. A number of tools and resources will be set up to guide and support you all through the Challenge.

Ready for the adventure? Then register now!

« Lors d’un symposium, j’ai littéralement eu un coup de foudre pour l’intelligence artificielle (IA) et ce qu’elle peut apporter à mon champ de recherche, la cancérologie. Après plusieurs formations, j’en suis venue à la conclusion que je devais apprendre à programmer si je voulais un jour maîtriser tous les concepts de l’IA. Tout en poursuivant un certificat en informatique appliquée à l’UdeM, j’ai décidé de relever le défi Ran.Données. C’est une expérience fantastique puisque je joins l’utile à l’agréable: j’apprends la science des données en utilisant des résultats de BioID générés dans notre laboratoire! Avec les formations pertinentes en ligne et la disponibilité d’expert.e.s tout au long des 100 jours, j’espère bien tirer le maximum de mon jeu de données! »

Caroline Baril, Associée de recherche à l’IRIC, UdeM