The hard part in creating content for this Kotlin for Data Science video is that data science is such a large topic. I could focus exclusively on modeling, machine learning, statistics, and other traditional data science topics. But I think there's more value in teaching the Kotlin language and introducing things like data classes, extension functions, and sequences so you can create end-to-end solutions beyond the modeling part.