Learning analytic is one of data mining method that is widely used to investigate online learning behavior of online education program. Learning analytic data findings are very important. It can be used as a foundation to improve the quality of online education program. This study is aimed at finding some lessons learned from the implementation of online learning implemented in the Teacher Professional Education for in-service teachers in Indonesia by using learning analytic method. Some set of data from four batches of around 40.000 in-service teachers, as participant of online teacher professional education was collected and analyzed. Learning analytic findings showed five lessons learned, i.e. 1) civil effect is matter and will lead online learning participant to consider online teacher professional education as not only a demand, but also a need; 2) good quality of online content delivery is important to enhance participant’s engagement and motivation that will lead to improve high participation and completion rate; 3) 24/7 student and instructor support is important to help their online teaching and learning activities in early stage of online education implementation; 4) instructor’s skills to facilitate online learning activities is very important; and 5) information technology infrastructure support is very important to handle and maintain online education with huge number of participants. These findings provide important information for decision and policy makers to improve the quality of Online Teacher Professional Education Program in the future.