Did you know? March is Data Education Month! During the next few weeks, we’ll be celebrating all things data and the people who work with it every day. We’ve got loads of free educational resources to help you get up to speed and future-proof your career – as well as our biggest discounts of the year on courses and events – and we hope you will take advantage of them all.
Learn more about Data Education Month here and start exploring the following.
9 Ways to Celebrate Data Education Month
- Become a DATAVERSITY Insider and get access to 160-plus courses, as well as bonus educational content and discounts (use code DATAEDU for 25% off your annual subscription).
- Visit our training center and enroll in one of our live online courses or on-demand training programs (use code DATAEDU for 25% off).
- Learn the latest data trends, best practices, and strategies in one of our upcoming free webinars (including our latest series on data literacy!), or check out our catalog of hundreds of on-demand webinars.
- Take this short survey on trends in Data Management and get complimentary access to the results and final paper.
- Read one of our many in-depth articles or blog posts written by industry experts.
- Listen to our new podcast series My Career in Data, where we sit down with data professionals to discuss how they have built their careers around data.
- Register for Enterprise Data World Digital on March 27-31 – there will be a free program of 30-plus live online sessions and case studies, as well as the chance to attend several in-depth paid tutorials taught by industry experts (use code DATAEDU for 15% off).
- Join us at DGIQ in San Diego this June for dozens of Data Governance sessions and case studies (use code DATAEDU for 15% off registration).
- Subscribe to our newsletter to stay up to date on new courses, webinars, podcasts, articles, blog posts, white papers, conferences, and more.
How are you celebrating Data Education Month? We want to know: Share in the comments, or see you at our next event or online course. Happy learning, data friends!
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