Completing data science projects is an easy way to finesse your portfolios. If you want to scale up in your career as a data scientist, your employers would want to know the kind of data problems you can solve, and that depends on the datasets you use. Kaggle has myriad datasets and it can get overwhelming to choose the right one to test a new machine learning concept. While this is not an exhaustive list, Analytics Insight has prepared a list of good and reliable data sets that can be used for several types of data science projects.