The Data Community Content Creator Award Nomination and Registration Form! Nominate for whatever categories you want to, and skip those where you don't know anyone.
The Data Science community is filled with amazing content creators who are educating and inspiring people with their creativity and desire to help others.

The Data Community's Content Creators Awards is our way of honoring them.

By nominating your favorite content creator, you will help others learn about the awesome people out there creating content and find new source to learn for yourself.

Imagine the MTV Video Music Awards meets The People's Choice Award.

The ceremonies will be hosted LIVE on LinkedIn and hosted by Kate Strachnyi (https://www.linkedin.com/in/kate-strachnyi-data/) and Harpreet Sahota (https://www.linkedin.com/in/harpreetsahota204/).

We've got a few categories that will be considered for awards:

- YouTube
- Blog
- GitHub or Kaggle
- Podcast or Talk Show
- Author: Instructional, technical, or textbook
- Author: Pop culture
- Social Media: LinkedIn, Twitter, Instagram.

REMINDER: Nominate for whatever categories you want to, and skip those where you don't know anyone.

NOTE: By participating in this nomination you are signing up for the Awards Ceremony (June 22, 2021). You are also opting in to sharing your email with DATAcated & The Artists of Data Science (as well as potential Tier 1 Sponsors).

ADD THE EVENT TO YOUR CALENDAR: https://www.addevent.com/event/LR6215112

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Share this with your friends! Help us spread the word about this ceremony!
We want that diversity, and only you can make this happen! Spread the word about this event to all the data lovers in your network - we want this to be the biggest online ceremony of the year!
You know how hard it is to work with free text data, please help us out: When possible, please enter the channel URL for the content creator you wish to nominate. There might be people you follow on Twitch, and if they fall into a category that matches then feel free to link to the Twitch profile.
Category 1: Math and Statistics Tutorials
The ideal nominee for this section will have video tutorials explaining the theory and intuition of various mathematical and statistical techniques, without a focus on coding.
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Category 2: Machine Learning and AI
The ideal nominee for this section will have video tutorials explaining various concepts and applications from Machine Learning and AI. This can include content creators who focus on theory, applications with coding, tutorials, project examples, etc.
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Category 3: Data Science General
The ideal nominee for this section will have videos discussing any and all things related to data science, data analytics, data visualization, data, data, and data! This can include vlogs, editorial and opinion pieces, data visualizations, projects.
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Nominate your favorite blogger! This can be on Medium, WordPress, TowardsDataScience, KDNuggets, Analytics Vidhya, or any independent blog. If they're a contributing blogger to one of the major websites mentioned above, please link to their profile. If they're an independent blog, please link to the blog URL.You know how hard it is to work with free text data, please help us out: When possible, please enter the URL for the content creator you wish to nominate.
Category 4: Blogger
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Nominate your favorite content creator on GitHub or Kaggle. This can include anyone who has awesome projects, excellent resources and cheatsheets, notes, or Kaggle kernels. You know how hard it is to work with free text data, please help us out: When possible, please enter the GitHub URL for the content creator you wish to nominate.
Category 5: Kaggle
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Category 6: GitHub User
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Nominate your favorite content creator in the realm of podcasting, talk shows, or other interview format content. You know how hard it is to work with free text data, please help us out: When possible, please enter the YouTube channel or website for the content creator you wish to nominate.
Category 7: Podcast or Talk Show
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AUTHORS! Nominate your favorite author of data related books! You know how hard it is to work with free text data, please help us out: Enter the name of the author and not the textbook name.
Category 8: Author: Instructional, technical, or textbook
Include any author that has written a book whose primary purpose is to serve as an educational and instructional text for practitioners. The types of books these would be are the typical textbooks you see filled with formulas or coding examples by publishers such as Manning, Springer, or O'Reilly.
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Category 9: Author: Popular Audience
Include any author that has written a book whose primary purpose is to educate or inform the general population on how data science, statistics, machine learning, and AI are being used in society. The types of books these would not contain heavy math, formulae, or coding examples; but would include titles that are meant for the general public to read.
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SOCIAL MEDIA PRESENCE! Who do you think are REALLY the Top Voices for Data Science, Analytics, Machine Learning, and AI on LinkedIn, Instagram, or Twitter? You know how hard it is to work with free text data, please help us out: When possible, please enter the channel URL for the content creator you wish to nominate.
Category 10: LinkedIn Personality
Place your vote for your favorite voice in our space on the LinkedIn platform. When possible, please enter the URL to the LinkedIn profile for the content creator you wish to nominate.
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Category 11: Instagram Account
Place your vote for your favorite voice in our space on the Instagram platform. When possible, please enter the username or URL to the Instagram page for the content creator you wish to nominate.
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Category 12: Twitter Profile
Place your vote for your favorite voice in our space on the Twitter platform. When possible, please enter the username or URL to the Twitter profile for the content creator you wish to nominate.
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