Data Mining techniques and algorithms have been used on a large scale in almost all the sectors which range from computer science, manufacturing industry, and healthcare industry. A recently introduced concept of academic analytics uses the data mining algorithms on the educational data of students and gives certain insights about the expected performances of the students, expected retention rate of students and percentage of resources properly utilized. These results also help administrators in decision making and answering certain questions like whether the faculty v/s student's ratio is giving satisfactory results or there is a change needed in the teaching methodology. Educational Data Mining is also another upcoming field and is an allied field of Academic analytics, but it focuses on the data mining algorithm outputs being given back to the faculties in order to properly assess the student's performance. Educational data mining basically helps the tutors modify their teaching strategies if the results with the current teaching model are not satisfactory. This paper basically is a study of certain research experiments which aim to apply data mining algorithms to educational data and contribute to the field of Academic analytics and Educational Data Mining.