Flamenco Class with Clara Rodriguez
This class is part of Travel Through Dance, a week long series classes organized by Dance for All Bodies and Wheel the World. Together, we bring a virtual, accessible and engaging travel experience to you through using music, dance and culture. Join us for a week of classes that will take you from the Bronx to the South of Spain, and through many more eras and cultures. All our classes are taught and designed to be inclusive to people of all abilities. If you have any questions about accessibility, please email firstname.lastname@example.org.
Join us for an all abilities beginner flamenco workshop with professional flamenco dancer, Clara Rodriguez.
Everyone is welcome in this classes, whether you have a disability or not, this is a great opportunity to learn more about some flamenco technique and movement! All abilities welcome.
Zoom Link Information:
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Meeting ID: 825 2332 0345
The class is free, but we have a suggested donation of $5-15. Consider donating here: https://charity.gofundme.com/o/en/campaign/dance-for-all-bodies
Clara Rodriguez is artistic director and founder of AguaClara Flamenco, based in Oakland, CA. She has been training and working professionally in the flamenco world for nearly 30 years, and has since been a featured soloist in productions throughout the United States, Spain, Portugal and India.
Dance for All Bodies is a non-profit providing dance classes for people of all abilities. Wheel the World is an organization which empower people with disabilities to explore the world without limits! They do this by offering accessible travel experiences in +40 destinations around the world.
Flamenco is an art form based on the various folkloric music traditions of southern Spain in the autonomous community of Andalusia and Murcia. Flamenco has been influenced by and associated with the Romani people in Spain; however, its origin and style are uniquely Andalusian.
Class information is gathered through community submissions. Dancing Alone Together takes no responsibility for class quality or errors in event data.