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: Nino Požar•
May 24, 2019
To be a data scientist you must use RMarkDown. Here you learn how to use it. A must do course for data scientists and highly valuable.
автор: Moshe Pilsky•
May 22, 2019
The course seems to be based on lectures recorded at different times. Some points discussed are repetitive. the quality of content is good though. I believe the whole material may have to be updated and, potentially, re-recorded.
автор: Israel David Diaz Garcia•
May 16, 2019
автор: Rooholamin Rasooli•
May 13, 2019
lectures are a little bit theoretical and at some point maybe boring but projects will give you a real experience with data and research reproducibility.
автор: Alán García Bernal•
May 02, 2019
A very useful course. It helped me to improve the way I structure the analysis at my current job, especially by keeping track of every transformation I apply to the data I’m working with.
автор: Akram Nakhaei•
May 02, 2019
Very fruitful. I enjoyed this lesson very much.
автор: Kehinde Usman•
Apr 30, 2019
автор: Manuel Esteban-Infantes•
Apr 29, 2019
Good - Makes you assimilate the concept and work on it
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.