_:nabd28eeb42db4d49b5509faadb5f0c47xb36
<http://schema.org/reviewBody>
"In my experience, this course has a huge gap.  The lectures go through all manner of tools, commands, packages, etc. about cleaning.  That's fine and probably necessary.  It's like \"this is a hammer\", \"this is a saw\".  That's fine and probably necessary. But then you get to the final project...\nAll of the sudden you're plopped onto a construction site with your hammer and saw and a pile of wood and told to build a house.  You've never built a house before and don't have the slightest idea where to begin.\nWhat's missing is some principles of \"tidy data construction\" in the lectures. When introduced to a new data set, what are some approaches to understanding that data?  How do you develop a plan to build a tidy data set (i.e. how do you think about developing a plan, not looking for a step by step instruction set)?  \nIt's disappointing that the only way for someone new to data science, R, etc. to tackle the problem is to read someone's third party monologue about how to make your reviewers happy."
<https://ko.coursera.org/learn/data-cleaning/reviews?page=6&authMode=login>