Welcome to the new and improved IBM Data Science community! I am your community manager (you can also find me over in the Business Analytics Community), and I look forward to supporting this group by monitoring feedback and questions, providing useful information and tools, and building out a vibrant ecosystem for users to get access to courses and education, share ideas and use cases, ask for advice, and troubleshoot.
If you're brand new to IBM Community, get a quick 101 primer here.
A quick tour of what you'll see in the new community:
In the Know: Check here for our monthly newsletters, curated by data science experts including @Michael Tamir, @Nick Acosta, @Michael Mansour, @William Roberts @Trisha Mahoney and @Austin Eovito. Be sure to join the discussion and share your thoughts on topics such as:
What else would you like to see in the newsletter?
AI Skills: We find education and training to be a highly valued asset to members of our data science community. While we have a
partnership with Coursera and other training organizations to bring you complimentary programs, we also have the
IBM Skills Gateway, where you can get certification in a number of different areas.
Keep an eye on this section for what's happening in AI Learning and Education, including an
open source data science curriculum in conjunction with UPenn and The Linux Foundation, as well as a webinar on how to get
AI-certified through IBM and grow your data science career. If you're interested in this, be sure to join the conversations going on in our
AI Learning group.
One of our
Data Science Elite members,
@Carlo Appugliese just put out an e-book,
Agile AI: A Practical Guide to Building AI Applications and Teams,
free to community members.
Hands-On: There's no better way to build your data science skillset, network and repertoire than to try things out for yourself! This section includes how-to's, projects, tools, data sets, etc. to explore and learn for yourself. Check out:
Group Discussions: As the primary function for community, we invite all of our members to use the discussion board as a place to introduce yourselves, share some background on your experience, ask any questions or advice to other members and experts, or put out a call to action. Since we're brand new, I encourage everyone to reply to this thread with a brief introduction, the data science tools you use, some projects you've published on GitHub or elsewhere, how you intend to engage with this community, and most importantly what you'd like to see.
Local Groups: Are you a local user group leader? Would you like to start a user group? Local user groups are a great way to connect and interact both online and offline with other IBM users near you. For more on local user groups and to apply to lead one in our community today, click here. IBM Community proudly sponsors many local user group events around the world, and would love to connect with you and support your efforts.
Don't forget to catch our first ever IBM User Group Day, a 2-day virtual event spanning 12 tracks across our community on May 19-20!
Data Science Spotlight: We spotlight a featured community member or blog monthly. Could this be you? Nominate yourself or someone else.
Events: New in May! Join our monthly community office hours and virtual meetups! Check our calendar and register.
Want to dig into skills and training? Start your Data Science learning journey here, by attending our webinars and in-person events. Have something to share with our community, such as leading a product use case webinar or tips and tricks? Send me a message or reply here and we'll get you set up.
You can also catch replays, including Watson Assistant and Watson Studio Onboarding here.
News: Here you'll find an integration of news sources relevant to Data Science, largely sourced from our community blogs, generated by both members and experts. If you're interested in becoming a blogger on IBM Community, please reach out to me here! The overall Community platform hosts over 130,000 members across 12+ different topic areas.
You'll also see a leaderboard on the left side of the home page. Earn points for every post that you contribute to or even read. There are plenty of achievement badges to collect.
Looking forward to getting to know our members and continuing to tailor the Data Science community to your needs. Thanks for dropping an introduction and any feedback here -- again, welcome!
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Christina Howell
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#GlobalAIandDataScience#GlobalDataScience