Data skills are important for all. It’s one of our guiding principles at Tableau, and why we support students and instructors around the globe through Tableau Academic Programs. Our mission is to lower the barrier of entry to learning analytics, and to build data literacy skills in future generations.
Data skills are also interdisciplinary. When I first joined the Tableau Academic Programs Team in 2017, many professors would refer me to their Computer Science or Statistics department. They shared the misconception that analytics only fit with the technical faculties. As data has become more accessible and recognised for its value, however, those conversations have shifted. Now I hear, “What can we do to make Tableau easier for all students to learn?” or “How can I, as an educator, get better at Tableau to teach students?” Working with a group of visionary educators, we’ve been able to achieve amazing milestones, such as introducing Tableau to all first year students at Nanyang Technological University in Singapore in 2018.