The Data Detective at the Carnival, by Chandra Donelson and Jordan Morrow
Through an engaging storyline and relatable characters, this book is perfect for parents to read with their children and introduce them to fundamental data literacy skills.
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Meet William, a curious little boy who dreams of becoming a data detective like his mom, who is part of an elite force of data nerds. But there’s a twist! Before William can join the ranks, he must prove himself by completing a series of missions. His journey begins at the lively carnival, where he must solve several problems. Can William use his skills to earn his first badge?
Through an engaging storyline and relatable characters, this book is perfect for parents to read with their children and introduce them to fundamental data literacy skills.
Join William on this captivating adventure as he discovers the true data detective within!
Chandra Donelson is an entrepreneur, innovator, and speaker. Beyond her entrepreneurial and philanthropic pursuits, Chandra is a career civil servant known for breaking barriers and challenging the status quo. She is deeply committed to inspiring and empowering the next generation of thought leaders, particularly those from minority backgrounds. Following her recognition with the “Women of Color STEM Conference Rising Star” award, her work has focused on uplifting disadvantaged communities, creating pathways for success, and driving social impact.
Jordan Morrow is known as the “Godfather of Data Literacy”, having helped pioneer the field by building one of the world’s first data literacy programs and driving thought leadership. He is also the founder and CEO of Bodhi Data. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and understand data literacy. Jordan is the author of three books: Be Data Literate, Be Data Driven, and Be Data Analytical.
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