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#FunDataFriday – #BlackInDataWeek

[This article was first published on #FunDataFriday - Little Miss Data, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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WHAT IS IT?

#BlackInDataWeek is a free, online data conference taking place November 16-21, 2020. Straight from their website, #BlackInDataWeek is:

>
“A week-long celebration to (1) highlight the valuable work and experiences of Black people in the field of Data, (2) provide community, and (3) educational and professional resources.”

WHY IS IT AWESOME?

I can’t possibly list all of the reasons why this event is awesome. Just look at the description above, it’s full of goodness! The organizers have created a very exciting event structured to provide community, support and growth for Black people working in data.

Also, the sessions are on fire! I’ve added nearly all of them to my calendar. They offer a wide range of content from career to technical sessions and geared towards all levels of experience.

I’m particularly excited to attend these sessions:

  • Data Careers After Age 40 – November 17 1:30 – 2:30 PM EST

  • Survival Strategies in Data Careers – November 17 5:00 – 6:00 PM EST

  • Data Journeys Fireside Chat – November 17 6:00 – 8:00 PM EST

  • COVID-19 Health Disparities – November 19 12:00 – 12:30 PM EST

  • Avoid a Blank Stare: How to Tell a Great Story with Data – November 19 1:00 – 1:30 PM EST

  • Visualize Your Data Journey – November 19 5:00 – 7:00 PM EST

  • Bias in AI Algorithms – November 20 6:00 – 7:00 PM EST

  • AMA Algorithmic Fairness r/blackpeopletwitter – November 20 12:00 PM EST

For beginners data professionals, you will not want to miss these sessions:

  • Introduction to R – November 18 2:00 – 3:00pm EST

  • Machine Learning Tutorial – November 18 12:00 – 1:00 PM EST

  • Career Development and Mentorship Panel – November 21 2:00 – 5:00 PM EST

HOW TO GET STARTED?

Visit their Event Brite sign up page and register for the conference today. I will see you there!

To leave a comment for the author, please follow the link and comment on their blog: #FunDataFriday - Little Miss Data.
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