Data Science Methodology
Created by: Alex Aklson
Quality Score
Overall Score : 98 / 100
Course Description
Instructor Details
- 4.9 Rating
376 Reviews
Alex Aklson
Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in medical Engineering from the University of Toronto.
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Reviews
By Sabrina S S on 15-Nov-19
Easy understanding and useful for me to design a project for using data solving problems.
By Shyaam S R S on 15-Nov-19
Pretty basic level course, but I did learn and reinforce several things about data science methodology.
By Faisal H on 8-Nov-19
This course was a great introduction to the iterative process used by data scientists to go from problem to solution. I highly enjoyed it!
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