Please note that the workshop will be given in English but the instructors will be bilingual.
Ready for the challenge?
The AÉBINUM, the Quantitative and Computational Ecology Laboratory and IVADO challenge you to accumulate 100 hours of code over 100 days. The 100 days of Data.trek challenge is the perfect opportunity to learn about data analysis and machine learning.
Why 100 days?
Because learning how to program takes time and practice. You can’t learn it in a day, or even a week. We know, 100 days is a long time, so we’ve planned everything to help you get to the end of the challenge.
Ran’s 100 days of data, what is it?
It starts with a data set and a project – you provide the data and the project. We’ll introduce you to your favourite programming language (R, Python or Julia) and/or introduce you to machine learning tools in a fun and practical way.
This first day of the workshop will end with a happy hour where you can network and build relationships with the cohort, or find partners if you want to work in a team. Then it’s up to you! Don’t hesitate to share your questions, your successes, and your answers with other participants on the event’s Facebook page. Every 25 days, satellite gatherings will be organized. It will be an opportunity to exchange around a pizza. Finally, on the 100th day, we celebrate victory!
Life science students and professionals interested in the development of data science, artificial intelligence, and related disciplines.
- Performing a first data analysis project with R, Python or Julia
- Integrate machine learning tools into a project.
- Be part of a small self-help community.
Rules for 100 days of Data.trek
- Code a minimum of 100 hours over 100 days.
- Code a minimum of 5 days per week.
- Do not go 3 days without coding.
- You can work alone or in a team.
Université de Montréal student: $20
Off-campus student: $25
Campus Professional: $50
Professional off-campus or other: $75
A mobile daycare service may be provided if there are sufficient needs (minimum of 6 children). Please let us know before February 13th when you register via eventbrite.
Dates and locations
March 5, 2020.
Université de Montréal
2950 Chemin de Polytechnique
Montréal, QC H3T 1J4
Pizza Dinner Dates and Locations – coming soon
Day 100 – May 14, 2020
Celebration – TBD
Code of conduct
By registering to the Data.trek Challenge, you agree to subscribe to the AÉBINUM’s code of conduct (CoC).
Workshop Date: March 5, 2020
08:30 – 09:00AM: Welcome of participants
09:00 – 09:30AM: Welcome – Presentation of the 100 days of Data.trek
09:30 – 12:30PM: Fundamentals – Tutorial on the basics of R, Julia or Python (a language of your choice)
12:30 – 01:30PM: Dinner
01:30 – 04:00PM: My favorite machine learning tools – “Live coding”. Short presentations of machine learning tools by die-hard fans.
04:00 – 05:00PM: Conference – coming soon
05:00 – 07:00PM: Hacky hours!