This guide therefore won't include full specializations or programs like Johns Hopkins University's Data Science Specialization on Coursera or Udacity's Data Analyst Nanodegree. These compilations of courses elude the purpose of this series: to find the best individual courses for each subject to comprise a data science education. The final three guides in this series of articles will cover each aspect of the data science process in detail. Several courses listed below require basic programming, statistics, and probability experience. This requirement is understandable given that the new content is reasonably advanced, and that these subjects often have several courses dedicated to them. This experience can be acquired through our recommendations in the first two articles (programming, statistics) in this Data Science Career Guide.
Jun-1-2017, 18:46:11 GMT