The acquisition of data analytics skills is becoming increasingly crucial in today's data-driven world. At the same time datathons are gaining traction in the field of data science since these events enable participants to collaboratively solve practical problems and make decisions using real-world data sets. This study explored how datathons may support the learning of data analytics. The study, which was exploratory and qualitative, collected data via five focus group sessions that were conducted with datathon participants. The aim was to investigate participants’ views on the perceived benefits, and challenges of using datathons to learn data analytics. The study results indicate that datathons provide a productive starting point for learning data analytics for individuals with no knowledge of data science. However, further learning opportunities and research are needed for an individual to fully grasp data analytics. For students in the field of technology, participating in datathons provides a unique opportunity to hone their data analytical skills in a competitive and collaborative environment. By working on real-world datasets and solving complex problems, participants indicated that they gained practical experience and learned valuable techniques for extracting insights from data. While datathons offer enriching experiences, there are some challenges with the intense, time-limited and competitive nature of these events. This study contributes to the understanding of the role of datathons in facilitating learning and skill development in data analytics and provides recommendations towards leveraging the potential of datathons as a learning tool in the field of data science.