The heart is the next major organ comparing to the brain which has more priority in the Human body. Prediction of occurrences of heart diseases in the medical field is significant work. Data analytics is useful for prediction from more information and it helps medical centers to predict various diseases. A huge amount of patient-related data is maintained monthly. The stored data can be useful for the source of predicting the occurrence of future disease. Some of the data mining and machine learning techniques are used to predict heart disease, such as Artificial Neural Network (ANN), Decision tree, K-Nearest Neighbor(KNN), Naïve Bayes and Support Vector Machine (SVM). This paper provides an insight into the existing algorithm and it gives an overall summary of the existing work.