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.
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 Daniel C J
•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
•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
•Very practical and knowledge learned can be applied into my works as auditors. This can benefit any fields involving using data.
por Donald J
•These are important skills for a data scientist and I'm glad there is a full 4-week course dedicated to reproducible research.
por Richmond S
•I struggled in getting the final project right but it helped me understand the course better. Thumbs up reproducible research
por PRAKASH K
•I strongly recommend this course ,it focuses on reproducible research which is equally an important aspect of data analysis.
por Glenn W
•Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.
por Amanyiraho R
•Very interesting and tackles a very important issue that Data scientists always miss-out, reproducibility of your project
por Azat G
•Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.
por Anusha V
•Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.
por Adrielle S
•Muito completo. Inglês claro. Muitos exemplos. Chega a ser repetitivo em algumas aulas mas, antes sobrar do que faltar!
por Krishna B
•towards the end of week 1 lectures we can see all the parts of this specialization coming together in a very nice way!
por Monica Z
•Very challenging. However, every step in this specialization improves my knowledge and the way of solving problems.
por Prem S
•Nice course,especially it gives you a general idea and foundation on r markdown files if you already know R studio.
por Federico A V R
•This topic is relevant to the field, yet few institutions offer courses on it. Great knowledge, highly recommended.
por Lee Y L R
•Clear sharing of the importance of having proper documentation of data analysis process to enable reproducibility.
por Ann B
•I think this topic is sometimes overlooked, but very necessary. This course did a good job of covering the topic.
por Emily S
•I think this is an essential course that more people should take. Reproducibility is a huge issue in many fields.
por Courtney R
•I really appreciated the topics covered in this course. Is a wonderful follow-up to the Exploratory Data course.
por Thiago
•course material and projects help a lot in learning and tips on how to better document research and projects
por Gregorio A A P
•Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
por César A C
•I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
por Jared P
•Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
por Suryadipta D
•well organized and easy-to-understand subject material, shapes up really well towards the specialization.
por Marco C
•Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.