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."
автор: Luz M S G•
It was a good experience. The final project has been the most challenging that I have had in the specialization, but I learned a lot.
автор: Arjun S•
Great stuff. Glad to have the course make us create an Rpubs profile and publish research. Recommended strongly for data scientists
автор: 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
автор: Omar N•
Really good module/course, gives you a glimpse into real world implementation of data science and the challenges involved with it.
автор: Tom B•
Very practical and knowledge learned can be applied into my works as auditors. This can benefit any fields involving using data.
автор: 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.
автор: Richmond S•
I struggled in getting the final project right but it helped me understand the course better. Thumbs up reproducible research
автор: PRAKASH K•
I strongly recommend this course ,it focuses on reproducible research which is equally an important aspect of data analysis.
автор: Glenn W•
Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.
автор: Mathew E•
This course has been an eye-opener for me and going forward, it would be an indispensable tool in my research activities.
автор: Amanyiraho R•
Very interesting and tackles a very important issue that Data scientists always miss-out, reproducibility of your project
автор: Azat G•
Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.
автор: Anusha V•
Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.
автор: Adrielle d C S•
Muito completo. Inglês claro. Muitos exemplos. Chega a ser repetitivo em algumas aulas mas, antes sobrar do que faltar!
автор: 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!
автор: Monica Z•
Very challenging. However, every step in this specialization improves my knowledge and the way of solving problems.
автор: Prem S•
Nice course,especially it gives you a general idea and foundation on r markdown files if you already know R studio.
автор: Federico A V R•
This topic is relevant to the field, yet few institutions offer courses on it. Great knowledge, highly recommended.
автор: Lee Y L R•
Clear sharing of the importance of having proper documentation of data analysis process to enable reproducibility.
автор: Ann B•
I think this topic is sometimes overlooked, but very necessary. This course did a good job of covering the topic.
автор: Emily S•
I think this is an essential course that more people should take. Reproducibility is a huge issue in many fields.
автор: Courtney R•
I really appreciated the topics covered in this course. Is a wonderful follow-up to the Exploratory Data course.
автор: Thiago M•
course material and projects help a lot in learning and tips on how to better document research and projects
автор: Gregorio A A P•
Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
автор: César A C•
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡