Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice

As Data Science (DS) continues to be a growing field with promising prospects [1]-[3], it is attracting significant attention from many including learners of different learning backgrounds and applications areas. From a DS educator's perspective, the result is a very diverse cohort of learners. This typically includes (in no order) mathematicians, statisticians, operations researchers, computer scientists of all their colours, other scientists (e.g.