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Black In Data Week 2021

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We're celebrating current and future Black Data Professionals, ALL WEEK LONG!!!

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Schedule of Events, ALL TIMES EST:


Data Careers over Age 40 10:00 AM - 11:00 AM, Kimberly Deas, Wenona Young

Transition to Tech 4:00 PM - 4:30 PM, Brittany City

Starting/Switching to a Data Career 5:00 PM - 5:30 PM, Jarrett Hurms

Data Careers Fireside Chat 6:00 PM- 7:00 PM, Chrystal Parker, Andrea Hobby, Odane Dunbar, Lauren Shores, Kimberly Deas

Tips for Going into Academia to Teach Data 8:00 PM - 8:30 PM, Jarrett Hurms

Data Careers in Public Health 9:00 PM - 9:30 PM, Andrea Hobby & Barbara Tisi


Introduction to DeepNote 1:00 PM - 2:00 PM, Sia Seko

Now You’re Speaking My Language: Becoming Literate in Data 5:00 PM - 5:45 PM, Aliyah Wakil

Intro to Chem Informatics 6:00 PM -6:30 PM, Kimberly Deas

Being Professional Online 7:00 PM - 7:45 PM, Pierre DuBois

Decoding the infinite playlist: Practical data science in Python with the Spotify API 8:00 PM - 8:45 PM, Matthew Finney


Re-Creating the Du Bois Data Stories 10:00 AM - 10:30 AM, Anthony Starks

Make your data sing - An introduction to Data Visualization, 12 - 12:30 PM, Soti Coker

COVID-19 Health Disparities 2021 Update 7:00 PM - 7:30 PM, Andrea Hobby

Data is Poetry and Storytelling through Code, Numbers & Stats 7:30 - 8:00 PM, Kofi Oduro


Promise & Perils of Machine Learning & Fairness 9:00 AM - 9:30 AM, Lauren Rhue

Centering Data Equity 2:00 PM- 3:00 PM, Brandeis Marshall

Using Data to Build Towards Equity and Justice 3:00 PM - 3:45 PM, Allen Hillery

Mapping Police Violence 5:00 PM- 5:45 PM, Samuel Sinyangwe


Black in Data Mentorship & Networking Event 7:00 PM - 9:00 PM


Black in Data Closing Ceremony Keynote 11:30 AM - 1:00 PM, Wenona Young, MS

		Black In Data Week 2021 image

		Black In Data Week 2021 image

		Black In Data Week 2021 image

		Black In Data Week 2021 image

		Black In Data Week 2021 image

		Black In Data Week 2021 image

		Black In Data Week 2021 image
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Organizer of Black In Data Week 2021

We exist to support the growth and development of Black professionals in data, including tech, informatics, data science, epidemiology, and social sciences.

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