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my<00:00:12.090><c> name</c><00:00:12.210><c> is</c><00:00:12.330><c> Josh</c><00:00:12.540><c> wills</c><00:00:12.840><c> I</c><00:00:13.259><c> work</c><00:00:13.590><c> at</c><00:00:13.740><c> slack</c>

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my name is Josh wills I work at slack
 

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my name is Josh wills I work at slack
and<00:00:14.340><c> my</c><00:00:14.549><c> title</c><00:00:14.820><c> is</c><00:00:14.849><c> director</c><00:00:14.940><c> of</c><00:00:15.240><c> data</c>

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and my title is director of data
 

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and my title is director of data
engineering<00:00:15.900><c> oh</c><00:00:21.949><c> I</c><00:00:22.949><c> think</c><00:00:23.220><c> like</c><00:00:23.400><c> just</c><00:00:23.580><c> the</c>

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engineering oh I think like just the
 

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engineering oh I think like just the
sheer<00:00:24.029><c> diversity</c><00:00:24.570><c> of</c><00:00:25.019><c> topics</c><00:00:25.619><c> and</c><00:00:25.800><c> stuff</c><00:00:25.949><c> like</c>

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sheer diversity of topics and stuff like
 

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sheer diversity of topics and stuff like
that<00:00:26.099><c> they</c><00:00:26.310><c> get</c><00:00:26.430><c> covered</c><00:00:26.730><c> at</c><00:00:26.789><c> this</c><00:00:26.910><c> conference</c>

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that they get covered at this conference
 

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that they get covered at this conference
over<00:00:27.630><c> several</c><00:00:28.019><c> days</c><00:00:28.230><c> is</c><00:00:28.439><c> the</c><00:00:28.470><c> most</c><00:00:28.650><c> exciting</c>

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over several days is the most exciting
 

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over several days is the most exciting
part<00:00:29.279><c> for</c><00:00:29.310><c> me</c><00:00:29.550><c> I</c><00:00:29.730><c> just</c><00:00:29.760><c> love</c><00:00:30.689><c> being</c><00:00:30.900><c> able</c><00:00:31.050><c> to</c><00:00:31.230><c> be</c>

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part for me I just love being able to be
 

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part for me I just love being able to be
a<00:00:31.349><c> fly</c><00:00:31.560><c> on</c><00:00:31.590><c> the</c><00:00:31.710><c> wall</c><00:00:31.800><c> and</c><00:00:32.099><c> hear</c><00:00:32.250><c> about</c><00:00:32.279><c> stuff</c><00:00:32.669><c> I</c>

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a fly on the wall and hear about stuff I
 

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a fly on the wall and hear about stuff I
know<00:00:32.820><c> very</c><00:00:33.270><c> very</c><00:00:33.420><c> little</c><00:00:33.690><c> about</c><00:00:33.960><c> from</c><00:00:34.380><c> people</c>

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know very very little about from people
 

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know very very little about from people
who<00:00:34.710><c> know</c><00:00:34.890><c> tons</c><00:00:35.190><c> and</c><00:00:35.430><c> tons</c><00:00:35.520><c> and</c><00:00:35.700><c> tons</c><00:00:35.820><c> about</c><00:00:36.000><c> it</c>

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who know tons and tons and tons about it
 

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who know tons and tons and tons about it
so<00:00:36.930><c> yeah</c><00:00:37.320><c> that's</c><00:00:37.559><c> it's</c><00:00:38.010><c> like</c><00:00:38.100><c> a</c><00:00:38.190><c> the</c><00:00:38.610><c> mega</c>

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so yeah that's it's like a the mega
 

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so yeah that's it's like a the mega
conference<00:00:39.800><c> aspect</c><00:00:40.800><c> is</c><00:00:40.920><c> my</c><00:00:41.040><c> favorite</c><00:00:41.340><c> part</c>

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conference aspect is my favorite part
 

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conference aspect is my favorite part
yeah<00:00:41.850><c> ah</c><00:00:47.899><c> because</c><00:00:48.899><c> of</c><00:00:49.050><c> money</c><00:00:49.260><c> primarily</c><00:00:49.890><c> like</c>

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yeah ah because of money primarily like
 

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yeah ah because of money primarily like
I<00:00:50.789><c> think</c><00:00:50.969><c> between</c><00:00:51.239><c> Google</c><00:00:51.719><c> and</c><00:00:51.809><c> Facebook</c><00:00:51.989><c> and</c>

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I think between Google and Facebook and
 

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I think between Google and Facebook and
other<00:00:52.410><c> folks</c><00:00:52.649><c> having</c><00:00:53.010><c> built</c><00:00:53.250><c> like</c><00:00:53.610><c> defensible</c>

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other folks having built like defensible
 

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other folks having built like defensible
insanely<00:00:54.780><c> valuable</c><00:00:55.020><c> businesses</c><00:00:55.770><c> that</c><00:00:56.100><c> are</c>

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insanely valuable businesses that are
 

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insanely valuable businesses that are
fundamentally<00:00:56.789><c> based</c><00:00:56.910><c> on</c><00:00:57.180><c> having</c><00:00:57.390><c> access</c><00:00:57.809><c> to</c>

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fundamentally based on having access to
 

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fundamentally based on having access to
data<00:00:58.199><c> very</c><00:00:59.010><c> cool</c><00:00:59.280><c> interesting</c><00:00:59.730><c> data</c><00:00:59.850><c> that</c>

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data very cool interesting data that
 

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data very cool interesting data that
other<00:01:00.239><c> people</c><00:01:00.480><c> don't</c><00:01:00.570><c> have</c><00:01:00.660><c> access</c><00:01:00.870><c> to</c><00:01:01.230><c> like</c>

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other people don't have access to like
 

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other people don't have access to like
like<00:01:02.250><c> most</c><00:01:02.430><c> sort</c><00:01:02.699><c> of</c><00:01:02.760><c> cool</c><00:01:02.940><c> things</c><00:01:03.120><c> in</c><00:01:03.270><c> the</c>

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like most sort of cool things in the
 

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like most sort of cool things in the
world<00:01:03.480><c> that</c><00:01:03.600><c> kind</c><00:01:03.840><c> of</c><00:01:03.870><c> fundamentally</c><00:01:04.290><c> comes</c>

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world that kind of fundamentally comes
 

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world that kind of fundamentally comes
down<00:01:04.619><c> to</c><00:01:04.710><c> money</c><00:01:04.830><c> and</c><00:01:05.100><c> that's</c><00:01:05.220><c> true</c><00:01:05.700><c> for</c><00:01:05.729><c> data</c>

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down to money and that's true for data
 

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down to money and that's true for data
as<00:01:06.210><c> well</c>

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I<00:01:13.900><c> want</c><00:01:14.900><c> to</c><00:01:14.960><c> learn</c><00:01:15.140><c> i</c><00:01:15.200><c> think</c><00:01:15.500><c> that</c><00:01:15.680><c> data</c>

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I want to learn i think that data
 

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I want to learn i think that data
engineering<00:01:16.460><c> and</c><00:01:16.759><c> data</c><00:01:16.970><c> infrastructure</c><00:01:17.210><c> is</c>

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engineering and data infrastructure is
 

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engineering and data infrastructure is
horrible<00:01:18.380><c> and</c><00:01:18.619><c> then</c><00:01:19.130><c> it's</c><00:01:19.280><c> horrible</c><00:01:19.700><c> for</c>

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horrible and then it's horrible for
 

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horrible and then it's horrible for
everyone<00:01:20.360><c> they</c><00:01:20.689><c> aren't</c><00:01:20.900><c> alone</c><00:01:21.140><c> in</c><00:01:21.530><c> sort</c><00:01:22.040><c> of</c>

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everyone they aren't alone in sort of
 

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everyone they aren't alone in sort of
their<00:01:22.250><c> horror</c><00:01:23.229><c> it's</c><00:01:24.229><c> just</c><00:01:24.439><c> it's</c><00:01:24.619><c> hard</c><00:01:24.710><c> it's</c>

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their horror it's just it's hard it's
 

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their horror it's just it's hard it's
hard<00:01:25.159><c> and</c><00:01:25.549><c> it's</c><00:01:25.670><c> terrible</c><00:01:25.939><c> for</c><00:01:26.060><c> everyone</c><00:01:26.680><c> but</c>

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hard and it's terrible for everyone but
 

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hard and it's terrible for everyone but
it<00:01:27.799><c> doesn't</c><00:01:28.100><c> mean</c><00:01:28.189><c> it's</c><00:01:28.340><c> not</c><00:01:28.490><c> worth</c><00:01:28.700><c> doing</c><00:01:28.909><c> and</c>

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it doesn't mean it's not worth doing and
 

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it doesn't mean it's not worth doing and
doing<00:01:29.509><c> the</c><00:01:29.840><c> best</c><00:01:30.020><c> of</c><00:01:30.110><c> your</c><00:01:30.170><c> ability</c><00:01:30.560><c> within</c>

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doing the best of your ability within
 

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doing the best of your ability within
the<00:01:31.700><c> constraints</c><00:01:32.240><c> of</c><00:01:32.479><c> the</c><00:01:32.750><c> aforementioned</c>

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the constraints of the aforementioned
 

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the constraints of the aforementioned
horribleness<00:01:34.070><c> so</c><00:01:34.759><c> yeah</c>

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ooh<00:01:44.510><c> key</c><00:01:45.510><c> vice</c><00:01:45.690><c> on</c><00:01:45.810><c> how</c><00:01:45.900><c> to</c><00:01:45.960><c> become</c><00:01:46.110><c> a</c><00:01:46.230><c> data</c>

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ooh key vice on how to become a data
 

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ooh key vice on how to become a data
scientist<00:01:46.800><c> time</c><00:01:46.920><c> to</c><00:01:46.980><c> become</c><00:01:47.070><c> a</c><00:01:47.220><c> really</c><00:01:47.400><c> great</c>

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scientist time to become a really great
 

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scientist time to become a really great
one<00:01:47.840><c> I</c><00:01:49.100><c> think</c><00:01:50.100><c> the</c><00:01:50.820><c> lake</c><00:01:51.180><c> the</c><00:01:51.930><c> I</c><00:01:52.350><c> think</c><00:01:52.740><c> being</c><00:01:52.890><c> a</c>

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one I think the lake the I think being a
 

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one I think the lake the I think being a
great<00:01:53.370><c> generalist</c><00:01:54.270><c> is</c><00:01:54.480><c> a</c><00:01:54.510><c> great</c><00:01:55.140><c> way</c><00:01:55.260><c> to</c><00:01:55.320><c> be</c><00:01:55.500><c> a</c>

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great generalist is a great way to be a
 

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great generalist is a great way to be a
great<00:01:55.890><c> data</c><00:01:56.130><c> scientist</c><00:01:56.640><c> I</c><00:01:56.760><c> don't</c><00:01:56.970><c> I've</c><00:01:57.510><c> done</c>

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great data scientist I don't I've done
 

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great data scientist I don't I've done
like<00:01:58.440><c> the</c><00:01:58.740><c> highest</c><00:01:58.920><c> level</c><00:01:59.310><c> machine</c><00:01:59.610><c> learning</c>

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like the highest level machine learning
 

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like the highest level machine learning
models<00:01:59.970><c> and</c><00:02:00.330><c> I've</c><00:02:00.420><c> done</c><00:02:00.600><c> like</c><00:02:00.720><c> the</c><00:02:00.900><c> lowest</c>

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models and I've done like the lowest
 

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models and I've done like the lowest
level<00:02:01.500><c> sort</c><00:02:01.710><c> of</c><00:02:01.800><c> DevOps</c><00:02:02.100><c> stuff</c><00:02:02.460><c> in</c><00:02:02.640><c> my</c><00:02:02.760><c> career</c>

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level sort of DevOps stuff in my career
 

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level sort of DevOps stuff in my career
like<00:02:03.330><c> even</c><00:02:03.660><c> down</c><00:02:03.900><c> to</c><00:02:03.930><c> like</c><00:02:04.260><c> debugging</c>

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like even down to like debugging
 

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like even down to like debugging
hardware<00:02:05.160><c> in</c><00:02:05.340><c> some</c><00:02:05.520><c> situations</c><00:02:07.640><c> yeah</c><00:02:08.640><c> I</c><00:02:09.270><c> don't</c>

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hardware in some situations yeah I don't
 

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hardware in some situations yeah I don't
I<00:02:09.960><c> don't</c><00:02:10.020><c> think</c><00:02:10.410><c> there's</c><00:02:10.590><c> like</c><00:02:10.820><c> it's</c><00:02:11.820><c> one</c><00:02:12.000><c> is</c>

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I don't think there's like it's one is
 

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I don't think there's like it's one is
like<00:02:12.330><c> weird</c><00:02:12.600><c> sort</c><00:02:12.930><c> of</c><00:02:13.020><c> Zen</c><00:02:13.290><c> koan</c><00:02:13.710><c> kind</c><00:02:14.010><c> of</c>

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like weird sort of Zen koan kind of
 

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like weird sort of Zen koan kind of
things<00:02:14.280><c> like</c><00:02:14.490><c> you</c><00:02:14.610><c> can't</c><00:02:14.880><c> become</c><00:02:15.270><c> a</c><00:02:15.300><c> data</c>

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things like you can't become a data
 

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things like you can't become a data
scientist<00:02:16.020><c> by</c><00:02:16.170><c> be</c><00:02:16.350><c> trying</c><00:02:16.740><c> to</c><00:02:16.920><c> become</c><00:02:17.160><c> a</c><00:02:17.190><c> data</c>

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scientist by be trying to become a data
 

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scientist by be trying to become a data
scientist<00:02:17.910><c> you</c><00:02:18.060><c> have</c><00:02:18.210><c> to</c><00:02:18.330><c> get</c><00:02:18.510><c> good</c><00:02:18.720><c> at</c><00:02:18.780><c> a</c><00:02:18.990><c> lot</c>

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scientist you have to get good at a lot
 

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scientist you have to get good at a lot
of<00:02:19.380><c> different</c><00:02:19.530><c> things</c><00:02:19.860><c> and</c><00:02:20.430><c> then</c><00:02:21.120><c> basically</c>

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of different things and then basically
 

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of different things and then basically
sort<00:02:21.840><c> of</c><00:02:21.960><c> insert</c><00:02:22.290><c> yourself</c><00:02:22.440><c> into</c><00:02:22.830><c> a</c><00:02:22.920><c> position</c>

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sort of insert yourself into a position
 

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sort of insert yourself into a position
where<00:02:23.310><c> you</c><00:02:23.910><c> can</c><00:02:24.120><c> do</c><00:02:24.330><c> data</c><00:02:24.600><c> science</c><00:02:25.050><c> like</c>

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where you can do data science like
 

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where you can do data science like
there's<00:02:27.150><c> this</c><00:02:27.270><c> great</c><00:02:27.480><c> quote</c><00:02:27.690><c> by</c><00:02:27.780><c> a</c>

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there's this great quote by a
 

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there's this great quote by a
mathematician<00:02:28.440><c> mathematics</c><00:02:29.100><c> is</c><00:02:29.220><c> what</c>

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mathematician mathematics is what
 

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mathematician mathematics is what
mathematicians<00:02:29.700><c> do</c><00:02:30.150><c> data</c><00:02:30.870><c> science</c><00:02:31.290><c> is</c><00:02:31.410><c> what</c>

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mathematicians do data science is what
 

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mathematicians do data science is what
data<00:02:31.710><c> signs</c><00:02:31.980><c> do</c><00:02:32.460><c> it's</c><00:02:32.850><c> that's</c><00:02:33.690><c> I</c><00:02:34.080><c> don't</c><00:02:34.410><c> know</c>

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data signs do it's that's I don't know
 

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data signs do it's that's I don't know
or<00:02:34.920><c> it's</c><00:02:35.070><c> stupid</c><00:02:35.790><c> is</c><00:02:35.880><c> as</c><00:02:36.090><c> stupid</c><00:02:36.120><c> does</c><00:02:36.480><c> would</c>

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or it's stupid is as stupid does would
 

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or it's stupid is as stupid does would
be<00:02:37.020><c> the</c><00:02:37.140><c> sort</c><00:02:37.350><c> of</c><00:02:37.380><c> modern-day</c><00:02:37.710><c> equivalent</c><00:02:38.220><c> of</c>

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be the sort of modern-day equivalent of
 

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be the sort of modern-day equivalent of
that<00:02:38.400><c> I</c><00:02:38.460><c> think</c><00:02:38.870><c> so</c><00:02:39.870><c> i</c><00:02:39.900><c> think</c><00:02:39.960><c> i</c><00:02:40.230><c> don't</c><00:02:40.530><c> know</c><00:02:40.590><c> i</c>

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that I think so i think i don't know i
 

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that I think so i think i don't know i
think<00:02:40.650><c> there's</c><00:02:40.890><c> too</c><00:02:40.980><c> much</c><00:02:41.070><c> effort</c><00:02:41.280><c> on</c><00:02:41.550><c> he</c><00:02:41.670><c> like</c>

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think there's too much effort on he like
 

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think there's too much effort on he like
people<00:02:42.000><c> trying</c><00:02:42.420><c> to</c><00:02:42.570><c> become</c><00:02:42.840><c> data</c><00:02:43.020><c> signed</c><00:02:43.260><c> as</c>

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people trying to become data signed as
 

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people trying to become data signed as
opposed<00:02:43.680><c> to</c><00:02:43.770><c> just</c><00:02:43.830><c> try</c><00:02:44.160><c> and</c><00:02:44.250><c> become</c><00:02:44.370><c> lots</c><00:02:44.850><c> good</c>

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opposed to just try and become lots good
 

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opposed to just try and become lots good
at<00:02:45.480><c> lots</c><00:02:45.660><c> and</c><00:02:45.870><c> lots</c><00:02:46.020><c> of</c><00:02:46.140><c> different</c><00:02:46.410><c> things</c>

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at lots and lots of different things
 

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at lots and lots of different things
that<00:02:47.520><c> if</c><00:02:47.970><c> you</c><00:02:48.270><c> can</c><00:02:48.450><c> do</c><00:02:48.570><c> all</c><00:02:48.600><c> those</c><00:02:48.810><c> things</c>

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that if you can do all those things
 

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that if you can do all those things
software<00:02:49.920><c> engineering</c><00:02:50.250><c> ops</c><00:02:50.790><c> statistics</c><00:02:51.690><c> data</c>

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software engineering ops statistics data
 

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software engineering ops statistics data
analysis<00:02:52.230><c> stuff</c><00:02:52.380><c> means</c><00:02:53.190><c> that</c><00:02:53.459><c> you</c><00:02:53.580><c> can</c><00:02:53.730><c> become</c>

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analysis stuff means that you can become
 

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analysis stuff means that you can become
a<00:02:54.030><c> data</c><00:02:54.270><c> scientist</c><00:02:54.720><c> so</c><00:02:55.290><c> yeah</c><00:02:55.890><c> anyway</c><00:02:56.310><c> sorry</c>

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a data scientist so yeah anyway sorry
 

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a data scientist so yeah anyway sorry
that's<00:02:57.450><c> in</c><00:02:58.110><c> terms</c><00:02:58.290><c> of</c><00:02:58.380><c> being</c><00:02:58.530><c> a</c><00:02:58.590><c> great</c><00:02:58.770><c> one</c><00:02:58.950><c> i</c>

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that's in terms of being a great one i
 

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that's in terms of being a great one i
think<00:02:59.340><c> if</c><00:02:59.459><c> you</c><00:02:59.580><c> employ</c><00:03:00.540><c> that</c><00:03:00.570><c> sort</c><00:03:00.959><c> of</c><00:03:00.989><c> breath</c>

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think if you employ that sort of breath
 

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think if you employ that sort of breath
strategy<00:03:01.860><c> i</c><00:03:01.890><c> think</c><00:03:02.220><c> that</c><00:03:02.370><c> is</c><00:03:02.520><c> the</c><00:03:02.550><c> way</c><00:03:02.850><c> to</c>

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strategy i think that is the way to
 

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strategy i think that is the way to
become<00:03:03.870><c> a</c><00:03:03.900><c> great</c><00:03:04.230><c> data</c><00:03:04.440><c> scientist</c><00:03:04.890><c> is</c><00:03:05.070><c> have</c>

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become a great data scientist is have
 

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become a great data scientist is have
the<00:03:05.370><c> breath</c><00:03:05.580><c> be</c><00:03:05.820><c> able</c><00:03:05.970><c> to</c><00:03:06.030><c> see</c><00:03:06.209><c> the</c><00:03:06.330><c> patterns</c>

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the breath be able to see the patterns
 

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the breath be able to see the patterns
be<00:03:07.230><c> able</c><00:03:07.380><c> to</c><00:03:07.440><c> understand</c><00:03:07.950><c> how</c><00:03:08.550><c> things</c>

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be able to understand how things
 

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be able to understand how things
interact<00:03:08.970><c> the</c><00:03:09.330><c> different</c><00:03:09.570><c> layers</c><00:03:09.690><c> of</c><00:03:09.930><c> the</c>

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interact the different layers of the
 

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interact the different layers of the
stack<00:03:10.230><c> that</c><00:03:10.500><c> is</c><00:03:10.680><c> to</c><00:03:10.920><c> me</c><00:03:11.040><c> that</c><00:03:11.280><c> is</c><00:03:11.370><c> the</c><00:03:11.400><c> path</c><00:03:11.670><c> to</c>

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stack that is to me that is the path to
 

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stack that is to me that is the path to
greatness

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greatness
 

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greatness
you