  Every day, 800 women and 6,700 newborns die from complications related to
pregnancy or childbirth. A well-trained midwife can prevent most of these
maternal and newborn deaths. Data science models together with logs generated
by users of online learning applications for midwives can help to improve their
learning competencies. The goal is to use these rich behavioral data to push
digital learning towards personalized content and to provide an adaptive
learning journey. In this work, we evaluate various forecasting methods to
determine the interest of future users on the different kind of contents
available in the app, broken down by profession and region.
