This notebook is aimed toward data analysis of flight delay for NYC in 2013. The purpose is not to obtain the best possible prediction but rather to emphasize the various steps needed to build such a model. In order to meet the possible outcomes, I worked with the central limit, Interquartile, skewness, kurtosis and correlation methods to cross-validate the results. Necessary insights were discussed during the analysis. This dataset contains information about all flights that departed from NYC (e.g. EWR, JFK and LGA) in 2013: 336,776 flights in total. The dataset misses the data related to the cause of delays. If the causes of delays were available in data set than it would be easy to pinpoint the delays, which, can be eliminated or minimised by carriers.