Data Science, Machine Learning, Feature Engineering, Algorithms, Machine Learning Tools.
missing data or, at the very least, know if the data is missing at random. If the data is not missing at random, meaning certain subgroups are more likely to have missing data, imputing values for those might be difficult, especially if there is little to no data available. If the data is missing