Although there are expected variations in student backgrounds, interests, motivations, expectations, and learning styles, the below prerequisites serve as a guideline of the foundational knowledge and experience that will be helpful for the successful completion of the Data Science and Predictive Analytics MOOC.
|BS Degree or Equivalent||Quantitative training and coding skills as described below||The DS certificate is a graduate program requiring a minimum level of quantitative skill|
|Quantitative Training||Undergraduate calculus, linear algebra and introduction to probability and statistics||These are the entry level skills required for most upper-level undergraduate and graduate courses in the program|
|Coding Experience||Exposure to software development or programming on the job or in the classroom||Most DS practitioners need substantial experience with Java, C/C++, HTML5, Python, PHP, SQL/DB|
|Motivation||Significant interest and motivation to pursue quantitative data analytic applications||Dedication for prolonged and sustained immersion into hands-on and methodological research|