Data Science Education with coursera

Beginning in December 2016, I initiated a new personal enterprise: Learning the statistical programming language R to acquire competencies of a data scientist. The post reports on my experience with a shortcoming on a coursera course and argues that even advanced MOOCs are often not designed to meet the particular requirements of self-determined learners. With the example of learning all the different ways to get data into the R environment, I show that designing different learning paths for different learner needs could be a solution.
data-science-education || coursera educational-design self-determined-learning
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