From the course: DJ Patil: Ask Me Anything
How did data science come about?
From the course: DJ Patil: Ask Me Anything
How did data science come about?
(upbeat music) - [Interviewer] Here, DJ, I wanna talk about the term Data Science. - Yeah. - [Interviewer} And the origin story behind that term and I know that happened at LinkedIn. So can you talk to that a little bit? - Sure, so what was happening at this point, at the time, this is maybe six to nine months before LinkedIn's ITO and what was going on is that LinkedIn data team, the Facebook data team, were really starting to show that interesting things could happen. There was a product that was put out by LinkedIn that was, you can view your entire network graph, it was called LinkedIn InMaps, and people were just blown away by like, hey, there's these clusters of how, my network might be connected. Facebook was starting to do really clever things with showing you new types of content and other type things. And there was this view of... Well, who are these people? And, as we're getting ready to the IPO, one of the things that was happening to me was, the HR was coming back and saying, by the way, you have a lot of job titles on the team. You have Analyst, Business Analyst, Research Scientist, Analytics Research Scientist, and so on, and so on, we were like, oh, we just, basically always let people call themselves whatever they wanted to. Then they said, well, you know, there's engineers and there's designers and so we should figure out what to call ourselves. At the same time, Jeff Hammerbacher, who is running the data team at Facebook, he had the same problem. His HR team was also saying the same thing, and so we kinda went through the list. And you're like, Analyst, hmm, like when you hear the word Analyst, what do you think? You kinda think oftentimes, oh, well, maybe that's a management consultant type person or somebody on Wall Street. Research Analyst, definitely more that. Research Scientist? Do you think more academia, typically, more a person who's going to focus on kind of a longer horizon type problem? Like what do you call ourselves? What do we call... And so, we went through the list, the last item on the list was, Jeff was like, well, Data Scientist. We kinda do science, but we do it with data, but Monica Rogati, who is a Data Scientist at LinkedIn, she had the idea, said, well, but we're LinkedIn, we own all the job postings, so why don't we just post all the jobs with each of the job titles and see who applies. So we did. We saw that everyone applied to Data Scientist. We're like, hey, guess what? We're Data Scientists. So we Data Scienced our way into the term Data Scientist. The reason, I think, it fundamentally has taken off is because no one knows what it means, and that may sound kinda weird, but think about it for a second. You're in a giant meeting and you're the Data Scientist and someone sits next to you and if you're titled Analyst or Business Intelligence, and the person says, hey, so what role are you in? And you say, well, I'm the Business Intelligence person. They'd be like, why are you here? Now, if you're the Data Scientist, they're like, hey, so why are you here? And you're like, well, I'm the Data Scientist. They're like (clicks tongue), good, you're the smart person. (chuckles) Glad we got you here. So why the disconnect? Because we've put an incredibly well defined box around the role of what we traditionally thought people with technology and data could do. And the Data Scientist one allows you into the room and then, once you're in the room, that person that has ability of like, well, what could we do with this? What could we do... Maybe we could do something interesting this way? And, as a result, new things come out of that and the new paradigms are created. So then you see the force multiplier of how data is used, and, as a result of the people, the broad set of people who've been in those roles and have been allowed into those conversations, they have over-delivered in the value proposition of what can happen and, as a result, that term has just taken off. (upbeat music)
Contents
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What were you like as a kid?3m 17s
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How did your parents influence you?1m 55s
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How did you navigate college?4m 7s
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What are some fond memories from grad school?2m 45s
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How can we foster learning for everyone?5m 9s
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What's the importance of learning liberal arts?2m 30s
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What advice do you have for job seekers?3m 23s
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How did data science come about?4m 8s
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What does it take to be a data scientist?4m 1s
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Why is apprenticeship important?3m 41s
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How can a data scientist influence policy?2m 20s
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How can I prepare for data science in college?4m 56s
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How can hackathons benefit me?1m 30s
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How did you use data in grad school?2m 15s
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How is data used in the US?3m 55s
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How is data used worldwide?1m 38s
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How do you expose holes in cybersecurity?3m 32s
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How can we educate people about hacking?2m 30s
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What are the real threats to personal data?4m 6s
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Should we focus on media headlines?1m 39s
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How can we educate people about data use?3m 34s
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How can people fight for data privacy?2m 46s
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What's the role of the data scientist in 15 years?4m 30s
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What are you working on currently?3m 31s
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How can we make data secure?3m 26s
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How to serve the people with data science?1m 47s
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What's the difference between wisdom and experience?1m 54s
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How do you advocate for science?2m 3s
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What is the role of AI in today's world?2m 54s
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What's an example of ethical hacking?2m 9s
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How do you bring data science into the workplace?2m 29s
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What is the role of AI in human resources and recruiting?3m 3s
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What are tools every data scientist should own?2m 44s
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Is there a data science code of ethics?4m 6s
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What are AI threats in the cybersecurity world?4m 38s
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How can data scientists better inform the general public?1m 30s
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How can people participate in data science?2m 31s
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Why do people fear a machine revolution?2m 18s
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How can data inform healthcare?1m 31s
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Why should we democratize data?2m 14s
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How are you advocating for science?3m 9s
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Why is the march for science important?3m 42s
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What is AI?1m 37s
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What is an example of robust machine learning?4m 31s
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What is AI's place in healthcare?3m 29s
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How can AI impact clinical trials?3m 22s
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How can a data scientist be best leveraged for business?1m 28s
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What does a data science team need to thrive?2m 56s
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What are the pros and cons with AI in HR roles?3m 27s
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What should be in a data scientist's toolbox?3m 23s
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What makes up a good data science team?2m 3s
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What new projects are you working on?2m 51s
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What data science projects are you working on?1m 40s
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How can AI and machine learning (ML) help cybersecurity?3m 54s
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How can governments fight back against AI attacks?3m 5s
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What can the public do to protect against AI attacks?1m 14s
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What are neural networks (NN)?2m 8s
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What's the difference between ML and NN?1m 42s
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Do you have a favorite machine learning technique?1m 7s
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How does the Internet of Things work?1m 38s
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What is a connected city?3m 3s
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What is the fear associated with data?2m 30s
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How can we address the fear of machines taking jobs?3m 20s
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What about job loss due to AI?1m 43s
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What's the reality of bringing back jobs?1m 50s
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What is a scientific process for data science?2m 46s
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What is your tip for not getting overwhelmed by big data?1m 40s
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How do you accept that you're not going to know stuff?2m 38s
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What is a dynamic range?2m 1s
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When does data leave holes?3m 8s
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How important is diversity on a data science team?2m 13s
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How does data influence people's emotions?4m 15s
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How do you train yourself to be intellectually curious?2m 20s
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How do we empower people to foster dialogue?3m 33s
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What is your philosophy on leadership?2m 56s
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How can a company retain employees?3m 42s
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How do you cultivate employee development?3m 18s
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How do you identify algorithmic biases?2m 46s
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Can you describe the process of ethical testing?2m 46s
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How do you feel about machine learning for business decisions?1m 52s
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Can you talk about your book?4m 10s
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What are possible solutions for displacement?2m 23s
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What impact does technology have on the US economy?3m 2s
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Can you discuss the future of intelligent things?3m 26s
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What are the current issues with data collection?2m 10s
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How is technology changing human expectations?1m 7s
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Wrapping up1m 5s
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