_:n733ff7e5a3af4028b7cbbb564a75ae36xb15
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"Basic introduction for the specialization, principles of data science, and installing stuff, it's fine to get started but could get hands dirty with R more quickly.  Overall the plethora of 4-5 star reviews for this specialization seem generous.  You will learn a good deal but there is heavy focus on R and academics of data science (Rmarkdown, Knitr, shiny apps etc), only 3 courses (6,7,8) get into meat of statistics/regression models and ML; the capstone project is interesting but doesn't use much of this stuff, it gets bogged down in technical work with new R libraries for text processing.  The material is a few years old and not being maintained, discussion forums and interest/participation feels stale.  Take some time to look at syllabus and compare to other courses for what you want to learn before committing many months to this specialization."
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