| Job Description |
Data Scientists are responsible for collecting, analyzing, and interpreting large sets of
complex
data. They use statistical and programming techniques to identify patterns and trends in
data, and
then use this information to make informed business decisions. They work in a variety of
industries,
including finance, healthcare, and technology. |
| Best Canadian Universities for Data Science |
University of Toronto, University of British Columbia, University of Alberta, McGill
University,
University of Montreal, University of Waterloo, Simon Fraser University, University of
Ottawa,
University of Calgary, University of Victoria |
| Cost and Scholarships |
The cost of attending these universities can vary greatly, but on average, you can expect to
pay
around $15,000 to $30,000 per year for tuition and living expenses. Many of these
universities offer
scholarships and financial aid to help offset the cost of attendance. |
| Expected Salary |
The average salary for a Data Scientist in Canada is around $91,311/yr
, although this can
vary depending on the industry and location. |
| Who is Hiring in Canada and Where? |
Companies such as Amazon, IBM, and Google are currently hiring Data Scientists in Canada,
primarily
in cities such as Toronto, Montreal, and Vancouver. |
| Employment Outlook |
The demand for Data Scientists is expected to continue to grow in the coming years as
businesses
increasingly rely on data to inform their decisions. |
| Ideal Personality Traits |
Data Scientists should possess strong analytical and problem-solving skills, as well as be
able to
work well with a team. They should also have a strong understanding of statistics and
programming
languages such as Python and R. Additionally, they should have a curious mindset and be able
to
think critically to find insights from data. |
| Education Requirements |
High School Diploma, College Degree (Bachelor's degree in a field such as mathematics,
statistics,
computer science, or a related field), Post Graduate Degree (Optional), Calculus, Linear
Algebra,
Probability, Statistics, Optimization, Programming languages such as Python, R, and SQL,
Data
visualization, Machine learning, Databases, Software engineering |