Feb 13, 2016
My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.
Jun 23, 2017
Of course, I liked this course. There was even an extra non-graded assignment. Plus two graded assignments. Quality instruction videos and lots of practice. Everything a learner needs.
автор: Charles Makowski•
Apr 25, 2019
Great course. This and the previous course in the data scientist specialization are extremely practical and I've found immediate utility in my career.
автор: Chetan Thaker•
Apr 22, 2019
This course is very helpful in terms of not only doing the analysis but also getting to know the finer nuances of making a structured markdown document for future reproducible.
автор: Sri Hari•
Apr 21, 2019
автор: carlos j martinez•
Apr 12, 2019
Great course, good lectures. I learned a lot of usable skills.
автор: Naren Rajiv Bakshi•
Apr 08, 2019
Would definitey recommend this, it covers an important aspect of research for Data Scientists.
Apr 07, 2019
One of my favorite courses in the specialization so far.
автор: Fidel Serrano Candela•
Mar 20, 2019
Very good course
автор: Paul Ringsted•
Mar 13, 2019
Along with the principles of "reproducible research", the primary tool introduced in this course is knitr to produce reproducible research papers and Rpubs for publishing papers. I think this specialization covers RMarkdown 3 different times. Assignments were good, at this stage you start to produce proper papers on an analysis topic which is very much needed before hitting the statistics/regression lectures; however this material can be compressed and needs to be combined with the 9th course which covers Rmarkdown/RStudio again.
автор: Thej Kiran Ravichandran•
Mar 12, 2019
Nothing serious in this course! Rmd is a good tool to work with! and get familiar with!
автор: Francisco Miguel Rivas Ortega•
Mar 09, 2019
It was very useful for me, now I know the importance of making data analysis reproducible.