Data Analysis

Closed
Preception
Vancouver, British Columbia, Canada
Employer
(2)
3
Project
Academic experience
100 hours per Student
Student
Anywhere
Advanced level

Project scope

Categories
Data visualization Data analysis Data modelling Software development
Skills
spatial data infrastructures python (programming language) data science statistical methods matlab mathematics reliability
Details

We're a sports tech performance company and we'd like students to help analyze our datasets and pipeline to generate useful insights from the data we collect.

From this analysis, we hope to visualize data collected from hardware to test reliability/validity by taking raw data to display in a real-world viewpoint

We are working with temporal-spatial data that will be given to the students at various stages of our analysis and they will work with a top level data scientist/analyst (PhD) to:

- Use various mathematical and statistical methods to transform data

- Use tools/visualizations to view data.

Student(s) must have the ability to code in python, MATLAB, and/or react.

Please apply/contact for more information.

Deliverables
No deliverables exist for this project.
Mentorship

Students will work directly with the Founder/CEO and the Head of Data (PhD Physics, MBA Technology Management) yet will be given autonomy within the project to express themselves/learn/contribute.

About the company

Company
Vancouver, British Columbia, Canada
2 - 10 employees
Technology, It & computing, Sports & fitness

Preception means “a taking beforehand”. It is the ability to see, decide, and act, and doing so more quickly than your opponent is the difference between victory and defeat. It is the common thread of Wayne Gretzky, Lionel Messi, and elite Special Forces. Our portable technology platform gives organizations the ability to train, measure and analyze preception in their existing, dynamic team training environments. This results in athletes being a full step ahead of their opponents in as little as 4 hours of training.