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Access the full transcript for this episode
“...When [we] decided to take the leap and do a data science course, one of the things that we intentionally made as a requirement was for a course to have a low bar of entry, but a high probability of success.”
In today’s episode, we speak with Mahmoud Harding, who is a math instructor at North Carolina School of Science and Mathematics. At NCSSM, he teaches an introductory data science class based off of UC Berkeley’s Foundations of Data Science course. Today, he tells us about his experience bringing data science to high schoolers and how they’ve been reacting to the course. He also shares how he sees the future of data science education in high school and why it’s so important to teach high school students how to work with data.
“Data science is not just for advanced students who get accepted to a public residential high school in North Carolina. It’s for any student who’s willing to take a chance to learn something they don’t know.”
By Berkeley Data ScienceAccess the full transcript for this episode
“...When [we] decided to take the leap and do a data science course, one of the things that we intentionally made as a requirement was for a course to have a low bar of entry, but a high probability of success.”
In today’s episode, we speak with Mahmoud Harding, who is a math instructor at North Carolina School of Science and Mathematics. At NCSSM, he teaches an introductory data science class based off of UC Berkeley’s Foundations of Data Science course. Today, he tells us about his experience bringing data science to high schoolers and how they’ve been reacting to the course. He also shares how he sees the future of data science education in high school and why it’s so important to teach high school students how to work with data.
“Data science is not just for advanced students who get accepted to a public residential high school in North Carolina. It’s for any student who’s willing to take a chance to learn something they don’t know.”

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