The knowledge-based benefits resulting from the use of artificial intelligence, machine learning, and data science and visualization tools in education research remain conditioned on computer programing expertise. Democratizing Data Science (DDS), a new data analytics movement, frees these benefits by lifting computer programming restrictions and offering open software access to conduct qualitative and mixed method research. This course constitutes the first product released as part of the mission of DDS. 

This course introduces an analytic framework and free software for dynamically capturing the evolution of knowledge prospectively (i.e., ethnographic or extended on-site observations) or retrospectively (i.e., interviews, essays, social media posts). Mapping, Organizing, and Visualizing Interdependent Events (MOVIE) represents a breakthrough in how qualitative researchers can examine dynamic phenomena. MOVIE enables researchers to study how temporal elements and events in synchronous (e.g., focus group discussions) and asynchronous (e.g., interviews) research settings evolve while adding contextual information in real time to strengthen our understandings of the phenomena studied. In line with the DDS mission, this course guarantees that all participants, regardless of computer programming expertise will be able to benefit from the data mining and visualization tools provided by MOVIE, either using their own data or data provided by the instructor.