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  • - Data science didn't really exist when I was growing up.

  • It's not something that I ever woke up

  • and said, "I want to be a data scientist when I grow up."

  • No, it didn't exist.

  • I didn't know I would be working in data science.

  • - When I grew up there wasn't

  • that field called data science.

  • And I think it's really new.

  • - Data science didn't exist until 2009, 2011.

  • Someone like DJ Patil or Andrew Gelman coined the term.

  • Before that there was statistics

  • and I didn't want to be any of those.

  • I wanted to be in business and

  • then I found data science a heck of a lot more interesting.

  • - I studied statistics, that's how I started.

  • I went through many different stages

  • in my life where I wanted to be a singer

  • and then a doctor and then I realized

  • that I was good at math.

  • So I chose an area that was focusing

  • quantitative analysis and from then

  • I do think that I wanted to work with data

  • not necessarily, data science as it's known today.

  • - The first time that I had contact with data science,

  • was when I was in my first year of mechanical engineering.

  • Strategical consulting firms,

  • they use data science to make decisions.

  • So, that was my first contact with data science.

  • - I had a complicated problem that I needed solved.

  • The usual techniques that we had at the time

  • couldn't help with the problem.

  • - I graduated with a math degree in the worst

  • possible time right after the economic crisis.

  • You actually had to be useful to get a job.

  • So I went and got a degree in statistics

  • and then I worked enough jobs that were

  • called data scientist that I suddenly became one.

  • - My undergraduate degree was in business

  • and I majored in politics, philosophy and economics.

  • And then I did a Masters in Business Analytics

  • at New York University at the Stern School of Business.

  • When I left my undergrad, the first company I joined,

  • it turned out that they were analyzing

  • electronic point of sale data for retail manufacturers.

  • And what we were doing was data science

  • but we only really started using that term much later.

  • In fact, I would say, four or five years ago

  • is when we started calling it analytics and data science.

  • - I had several options for my internship here in Canada

  • and one of the options was to work with data science.

  • I used to work in product development

  • but I think that was a good choice.

  • And then I started my internship with data science.

  • - I'm a civil engineer by training,

  • so all engineers work with data.

  • I would say the conventional use of data science

  • in my life started with transportation research.

  • I started building large models trying

  • to forecast traffic on streets,

  • trying to determine congestion

  • and greenhouse gas emissions or tailpipe emissions.

  • I think that's where my start was

  • and I started building these models when I was

  • a graduate student at the University of Toronto.

  • I started working with very large data sets

  • looking at household samples of 150,000 households,

  • half a million trips and that too,

  • I'm speaking from mid-nineties,

  • when this was supposed to be a very large data set

  • but not in today's terms but that's how I started.

  • I continued working with it and then I moved

  • to McGill University where I was a professor

  • of transportation engineering and I built

  • even bigger data models that involved data and analytics.

  • So I would say, yes transportation research

  • brought me to data science.

- Data science didn't really exist when I was growing up.

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B1 中級

數據科學的路徑有很多【數據科學101】。 (There are many paths to data science [Data Science 101])

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    陳賢原 發佈於 2021 年 01 月 14 日
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