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.
Aug 20, 2020
A very important course that greatly improved my ability to communicate the findings of any sort of data analysis that I perform. This is a critical skill to acquire to "deliver the means."
por Subramanya N•
Dec 12, 2017
Good info on RStudio & RR.
I can easily figure out who has attended this course by their methodical nature and work when I see Kaggle competitions. Great job!
por Johann R•
Jun 07, 2017
A handy course to do when you have to create and submit reports with calculations and code. Learn the basic principles of report writing and report structure.
por Md A I•
Sep 22, 2020
Though I could not solve all course projects on my own, I at least understood the techniques and enjoyed doing the course greatly. Thanks to the instructors
por Camilo Y•
Jan 10, 2017
I found all the topics of this course important. Not only for my professional career but also for everyone who is involved with data and science in general.
por Andrea G•
May 11, 2020
Very important course. Not so many fancy analysis but it introduces to Markdown and explains well what does it mean to do data science within a community.
por Devanathan R•
Feb 07, 2016
a very important part of data analysis. I especially found the case study in week 4 to be of tremendous interest highlighting the real world applications.
por Charles M•
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.
por Marco A I E•
Sep 20, 2018
Very interesting, the fact that our research procedure can be explained and showed to other to reproduce, validate and work on top of it is fantastic.
por Jessica R•
Aug 12, 2019
Very useful in bringing together skills learned in the earlier courses of the Data Science specialization: R programming, R Markdown, knit, RPubs.
por Connor G•
Aug 30, 2017
Very important subject matter taught well. My only qualm is that the final project was more difficult than I expected it to be given the content.
por Praveen k•
Oct 19, 2018
Good course. Examples given throughout the course are biological based so it is little hard to understand completely because they are technical
por Marco B•
Dec 05, 2017
this course is incredibly useful!
in my job i practice data analysis everyday and this course helped me to do everything in a more efficent way!
por Charly A•
Nov 26, 2016
Excellent content and plan. The delivery is fantastic and the professor's explanatory clarity is top notch. I highly recommend this course.
por Warren F•
Aug 16, 2016
Slightly less information than the previous courses in DS spec but important for someone who has not done scientific research in the past.
Mar 17, 2016
Excellent course that is both well presented and very clear, providing many examples and opportunities to practice throughout the course.
por Tine M•
Jan 23, 2018
Very interesting course, I was able to apply what I learned in the previous courses of the specialization, and that was a good exercise.
por Anirban C•
Aug 15, 2017
Nice course! It helped me to understand the concepts of markdown and related R modules. The assignments were challenging and fun to do.
por Nino P•
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.
por Keidzh S•
Apr 24, 2018
Thank you so much. Representatives lessons in my opinion very effective. I learn so much about html and markdown files in this course.
por Leandro F•
Feb 28, 2017
One of my favourites. The course is easy to follow and the idea of having a self-contained and reproducible document is very powerful.
por Arjun S•
Aug 27, 2017
Great stuff. Glad to have the course make us create an Rpubs profile and publish research. Recommended strongly for data scientists
por Daniel C J•
Nov 14, 2016
Great course. A must for every analyst for its simple tips on reproducibility, which can go a very very long way at work or school
por Omar N•
Nov 08, 2018
Really good module/course, gives you a glimpse into real world implementation of data science and the challenges involved with it.
por ONG P S•
Jan 19, 2020
Very practical and knowledge learned can be applied into my works as auditors. This can benefit any fields involving using data.
por Donald J•
Jan 22, 2018
These are important skills for a data scientist and I'm glad there is a full 4-week course dedicated to reproducible research.