December 2015
Beginner
400 pages
17h 52m
English
Content preview from Getting Started with Data Science: Making Sense of Data with AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Preface
It was arguably the largest trading floor in Canada. Yet when it came to data and analytics, parts of the trading floor were still stuck in the digital Stone Age.
It was the mid-nineties, and I was a new immigrant in Toronto trying to find my place in a new town. I had to my credit a civil engineering degree and two years of experience as a newspaper reporter. The Fixed Income Derivatives desk at BMO Nesbitt Burns, a Toronto-based investment brokerage, was searching for a data analyst. I was good in Excel and proficient in engineering-grade Calculus. I applied for the job and landed it.
I was intimidated, to say the least, on the very first day I walked onto the sprawling trading floor. Right in the heart of downtown Toronto, a vast floor ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.