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[Music]

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um<00:00:12.150><c> my</c><00:00:13.049><c> name</c><00:00:13.200><c> is</c><00:00:13.290><c> Jason</c><00:00:13.650><c> Lally</c><00:00:13.860><c> and</c><00:00:14.009><c> i</c><00:00:14.400><c> am</c><00:00:14.549><c> the</c>

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um my name is Jason Lally and i am the
 

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um my name is Jason Lally and i am the
open<00:00:15.150><c> data</c><00:00:15.299><c> program</c><00:00:15.630><c> manager</c><00:00:16.139><c> for</c><00:00:16.170><c> the</c><00:00:16.470><c> City</c>

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open data program manager for the City
 

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open data program manager for the City
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and County of San Francisco and I work
 

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and County of San Francisco and I work
in<00:00:18.869><c> the</c><00:00:19.020><c> office</c><00:00:19.289><c> of</c><00:00:19.560><c> the</c><00:00:19.619><c> chief</c><00:00:19.830><c> data</c><00:00:20.039><c> officer</c>

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in the office of the chief data officer
 

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in the office of the chief data officer
a<00:00:28.130><c> most</c><00:00:29.130><c> exciting</c><00:00:29.519><c> thing</c><00:00:29.699><c> about</c><00:00:29.730><c> being</c><00:00:30.210><c> a</c><00:00:30.570><c> data</c>

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a most exciting thing about being a data
 

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a most exciting thing about being a data
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by the bay is really being able to talk
 

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by the bay is really being able to talk
to<00:00:35.270><c> folks</c><00:00:36.270><c> who</c><00:00:36.420><c> are</c><00:00:36.660><c> in</c><00:00:36.809><c> engineering</c><00:00:37.770><c> data</c>

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to folks who are in engineering data
 

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to folks who are in engineering data
science<00:00:38.370><c> roles</c><00:00:39.440><c> traditional</c><00:00:40.440><c> technical</c>

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science roles traditional technical
 

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science roles traditional technical
roles<00:00:42.140><c> because</c><00:00:43.140><c> we</c><00:00:43.379><c> at</c><00:00:44.129><c> data</c><00:00:44.370><c> SF</c><00:00:44.730><c> which</c><00:00:45.000><c> is</c><00:00:45.120><c> the</c>

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roles because we at data SF which is the
 

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roles because we at data SF which is the
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program I work for at the city our goal
 

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program I work for at the city our goal
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is to empower use of the city's data and
 

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is to empower use of the city's data and
this<00:00:52.590><c> is</c><00:00:52.800><c> a</c><00:00:52.829><c> key</c><00:00:53.550><c> group</c><00:00:53.969><c> that</c><00:00:54.239><c> could</c><00:00:54.510><c> use</c><00:00:54.750><c> that</c>

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this is a key group that could use that
 

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this is a key group that could use that
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data we want to make sure that we are
 

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data we want to make sure that we are
constantly<00:00:57.960><c> improving</c><00:00:58.469><c> our</c><00:00:58.829><c> program</c><00:00:59.250><c> and</c><00:00:59.489><c> the</c>

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constantly improving our program and the
 

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constantly improving our program and the
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data that we publish and so this is as
 

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data that we publish and so this is as
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good of any an audience to talk to and
 

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good of any an audience to talk to and
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we haven't had the opportunity to really
 

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we haven't had the opportunity to really
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data<00:01:17.520><c> well</c><00:01:18.520><c> data</c><00:01:19.210><c> is</c><00:01:19.390><c> cool</c><00:01:19.630><c> and</c><00:01:19.720><c> exciting</c><00:01:20.520><c> to</c>

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data well data is cool and exciting to
 

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data well data is cool and exciting to
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me it's always been cool and excited um
 

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me it's always been cool and excited um
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why is it why is it getting more
 

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why is it why is it getting more
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attention these days why why are people
 

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attention these days why why are people
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paying more attention i think the living
 

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paying more attention i think the living
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in a hyper-connected world has made
 

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in a hyper-connected world has made
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everyone very aware of the way data
 

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everyone very aware of the way data
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moves through our society and how it
 

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moves through our society and how it
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impacts society I think particularly for
 

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impacts society I think particularly for
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better for worse all the various privacy
 

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better for worse all the various privacy
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breaches and other things I made people
 

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breaches and other things I made people
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very aware that there there's a lot of
 

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very aware that there there's a lot of
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stuff being collected about them about
 

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stuff being collected about them about
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what we do and and I think we are all
 

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what we do and and I think we are all
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trying to understand what that means and
 

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trying to understand what that means and
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I think we can do that best if we do
 

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I think we can do that best if we do
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that together as a society so I think
 

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that together as a society so I think
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it's always been important it's always
 

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it's always been important it's always
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been cool to me I think data should
 

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been cool to me I think data should
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support great decision making it doesn't
 

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support great decision making it doesn't
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hasn't always and but I think we're
 

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hasn't always and but I think we're
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gonna get there I think we're going to
 

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gonna get there I think we're going to
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move forward on that and so I'm excited
 

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move forward on that and so I'm excited
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that it's it's getting the attention
 

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that it's it's getting the attention
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that I had always wished it would
 

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that I had always wished it would
[Music]

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[Music]
 

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[Music]
so<00:02:30.350><c> out</c><00:02:30.830><c> of</c><00:02:30.950><c> today's</c><00:02:31.580><c> tracks</c><00:02:31.940><c> I'm</c><00:02:32.240><c> really</c>

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so out of today's tracks I'm really
 

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so out of today's tracks I'm really
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interested in understanding what other
 

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interested in understanding what other
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people are doing in terms of impact in
 

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people are doing in terms of impact in
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society I i think there's this really
 

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society I i think there's this really
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interesting connection between the sort
 

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interesting connection between the sort
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of deep technical knowledge and data
 

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of deep technical knowledge and data
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analytics and all the stuff that's
 

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analytics and all the stuff that's
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happening in industry and then how that
 

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happening in industry and then how that
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plays in society and I think that
 

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plays in society and I think that
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bridging between the two is really
 

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bridging between the two is really
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important because often they're siloed
 

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important because often they're siloed
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and really folks who are working in the
 

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and really folks who are working in the
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private sector should really be aware of
 

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private sector should really be aware of
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what what are the things that are going
 

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what what are the things that are going
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on out out there is this actually not
 

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on out out there is this actually not
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out there it actually impacts them and
 

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out there it actually impacts them and
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so I think that those those talks excite
 

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so I think that those those talks excite
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me the most and then just personally I
 

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me the most and then just personally I
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think learning a little bit more about
 

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think learning a little bit more about
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what others are doing just it's always
 

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what others are doing just it's always
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great to learn more so I'm excited to be
 

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great to learn more so I'm excited to be
here

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here
 

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here
[Music]

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my<00:03:34.580><c> key</c><00:03:34.970><c> advice</c><00:03:35.300><c> for</c><00:03:35.660><c> becoming</c><00:03:36.050><c> a</c><00:03:36.440><c> great</c><00:03:36.710><c> data</c>

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my key advice for becoming a great data
 

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my key advice for becoming a great data
scientist<00:03:37.610><c> is</c><00:03:38.200><c> borrowing</c><00:03:39.200><c> from</c><00:03:39.530><c> my</c><00:03:39.830><c> talk</c><00:03:40.220><c> I</c>

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scientist is borrowing from my talk I
 

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scientist is borrowing from my talk I
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think the real tool that any data
 

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think the real tool that any data
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scientists and any practitioner needs is
 

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scientists and any practitioner needs is
empathy<00:03:49.180><c> and</c><00:03:50.180><c> it's</c><00:03:51.020><c> something</c><00:03:51.530><c> that's</c><00:03:51.680><c> not</c>

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empathy and it's something that's not
 

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empathy and it's something that's not
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obvious maybe to someone who comes from
 

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obvious maybe to someone who comes from
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a background in data data is rational it
 

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a background in data data is rational it
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or feels rational it feels like it
 

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or feels rational it feels like it
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should just the numbers should just tell
 

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should just the numbers should just tell
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you what it is but we all know the
 

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you what it is but we all know the
reality<00:04:07.430><c> is</c><00:04:07.550><c> there</c><00:04:08.060><c> are</c><00:04:08.090><c> things</c><00:04:08.900><c> that</c><00:04:09.020><c> we</c>

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reality is there are things that we
 

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reality is there are things that we
don't<00:04:09.380><c> know</c><00:04:09.650><c> there</c><00:04:10.010><c> are</c><00:04:10.100><c> questions</c><00:04:10.460><c> we</c><00:04:10.610><c> need</c>

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don't know there are questions we need
 

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don't know there are questions we need
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to ask the data of the data and I think
 

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to ask the data of the data and I think
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that starts from a place of empathy and
 

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that starts from a place of empathy and
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understanding and that can be empathy
 

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understanding and that can be empathy
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for the folks you're trying to answer
 

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for the folks you're trying to answer
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questions for it can be empathy for even
 

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questions for it can be empathy for even
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how the data has been collected I think
 

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how the data has been collected I think
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that is one of the most important tools
 

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that is one of the most important tools
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for data scientist and I think it will
 

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for data scientist and I think it will
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help an inspiring data scientist grow
 

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help an inspiring data scientist grow
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even better because if they're oriented
 

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even better because if they're oriented
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toward empathy toward understanding I
 

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toward empathy toward understanding I
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think they'll ask better questions and
 

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think they'll ask better questions and
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then they'll learn to use the tools
 

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then they'll learn to use the tools
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[Music]

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[Music]
 

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[Music]
you