Applied Data Science Lab - Emerging data scientists
Take your skills to the next level
The Applied Data Science Lab for Economic Development provides an opportunity for emerging data scientists to work on real world industry projects in a paid, work integrated learning environment.
Teams of aspiring data scientists will work with an Alberta organization to develop a data prototype. You will be provided with the training, tools, digital infrastructure, and mentorship needed to upgrade and apply your data science capabilities.
During this program, teams will work in one of two streams:
Breadth Program
Work on multiple industry projects over short sprints to help with the “discovery” to “experiment” transition of their data science evolution including data wrangling, exploratory data analysis and development of proof-of-concept data products.
Depth Program
Work on a deeper dive industry project, focusing on the “discovery” through to “implement” stages of their data science evolution pathway through the iterative development of prototype data products
Following completion of this program, the emerging data scientists will have the experience and connections to enter the workforce.
Both programs will operate over a four to six months period.
Eligibility to participate in the Applied Data Science Lab:
- Open to students (undergraduate or graduate), post-doctoral fellows, or professionals who have recently up-skilled or re-skilled to enter the data science industry.
- Applicants must have strong foundational skills in data science, math and statistics, or computer programming.
- Applicants must be available full-time for the period of the program (ranging from two to six months).
Applications for the 2023 Fall Cohort are currently open for organizations only.
Applications for startups, small and mediums sized businesses will remain open until September 15.
Based on previous program offerings, only a limited number of emerging data scientists will be able to participate in the program. Participating emerging data scientists will be selected based on a competitive process, with those not selected being offered opportunities to apply to future program cohorts, and skills assessment and networking opportunities.
With Funding Support by
Technical Support provided by
