Supporting economic growth through the adoption of data science

The Applied Data Science Lab for Economic Development gives Alberta companies the tools and understanding to better leverage their data. 

The Lab also gives budding data scientists real world (paid) experience. 

Through this work-integrated learning program, emerging data scientists are paired with local businesses to carry out a long-term data science / machine learning project. Cybera and its sector partners provide hands-on advice and expertise to help the projects succeed.

Services available to Alberta organizations include:

  • Development of proof-of-concept or prototype data science tools, through the “Breadth” or “Depth” program
  • Free introductory and advanced data science workshops
  • Complimentary data science assessments
  • Hosted JupyterHub and RStudio environments

Services available to Alberta-based budding data scientists:

  • Work-integrated learning projects and training opportunities

Discover the opportunities available through Applied Data Science Lab:

Currently applications for the Applied Data Science Lab are on hold while the team re-evaluates future opportunities. If you’d like to be considered should another cohort occur feel free to fill out the form below.

Past Cohorts and internships

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Upcoming Events

Data Science Adoption Case Study: PainWorth

PainWorth is an Edmonton-based company that helps plaintiffs save money by automating injury settlements and predicting court case outcomes. Through the 2019 fellowship program, Cybera helped PainWorth use machine learning techniques to identify more relevant cases, reduce noise from case searches, and cluster common injuries. Following the fellowship, PainWorth entered into beta testing, was featured in Startup Edmontons 2020 Launch Party, and recently acquired California legal-tech startup ProSe Claims as it looks to enter the US market.

Click here to learn more about PainWorth's Participation in the 2019 Data Science Fellowship program.

Want to find out more? Contact our Data Science team!