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Data Science Capstone

781 classificações

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Johns Hopkins University

Data Science Capstone

781 classificações

Curso 10 de 10 em Specialization Data Science

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.

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Final Project Submission and Evaluation

This week, you'll submit your final project and review the work of your classmates.

Congratulations!2:21

Conheça os instrutores

Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health

Congratulations graduates.

We're so excited that you finished the whole Data Science Specialization.

>> It's been a really long road and

you've been through a lot of courses up until now, I'm really impressed

with what you've accomplished in such a short period of time.

We had a chance to look at some of the Capstone projects and

we've been really impressed with the creativity that you've shown and

the technical expertise that you've demonstrated from all your work.

We've had a lot of fun interacting with you throughout the specialization and

we've had a chance to even meet some of you virtually.

We're just really looking forward to what you can accomplish in the future.

>> Be sure to post you credential at LinkedIn,

in addition you'll be getting an email from me to join in

the LinkedIn group that is only for the completers of the specialization.

And that's a great place to do networking, post jobs and find jobs and

also show all the other great things you're doing with the specialization.

>> Now we're constantly working on new courses and new specializations

here at Hopkins and so we've got a lot of things under development.

If you want to keep track of what the three of us are working on,

please follow us on social media.

We'll be regularly posting updates on what we're doing.

>> Awesome job.

It was great having you all in the specialization and

we're really looking forward to seeing what you're going to do next.

>> Now go drop some science on that data.

>> [LAUGH] >> Cut, ruined.

>> Ruined.

Congratulations graduates, we're so

excited that you finished the whole data science specialization.

>> [LAUGH] >> [LAUGH]

>> [LAUGH]

>> You, then me,

then you, then back to me, then back to you.

>> Be sure to post your credential to LinkedIn and

in addition, [LAUGH] >> I'm sorry.

>> Can we have Bryan go first.

>> That was the most robotic.

>> [CROSSTALK] >> Pretend like you're talking to me.

>> Now go drop some science on that data.

[LAUGH] [CROSSTALK] Seriously, we got this.

>> We got this.

We got this.

>> You got this.

>> But, you're going to have to give me a minute just to be deep.

Okay.

>> Now go drop some data!

>> [LAUGH] >> [LAUGH]

>> It's over.

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