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.
par Chris M•
Apr 09, 2016
I've already written a review but it seems to have been removed...
This is an awful course, there is very little purpose to it whatsoever, it is basically a module in markdown which will in all honesty not have much application for most learners.
In addition, the course is not at all balanced / laid out well, there is a peer assignment in week 1, which you need to have covered week 2's content for.
Lastly, the recording quality of some of the lectures is awful, it is clear that they have simply used some recordings of an actual classroom session of a related course instead of recording for Coursera.
In all honesty, this entire specialisation is of awful quality, it is not a data science course, it is a "here's a few useful things in R" course, and the instructors should be ashamed that their institution makes money from it.
par Matthew S•
Mar 05, 2019
I often feel like people completely ignore the "science" aspect of data science (read any data science career question on quora for example). This course does an excellent job of introducing key aspects of the scientific method that you might not have encountered if you've never done an experiment before. The final project is a lot of work (mostly data cleaning) but very fun and informative.
par Dzmitry S•
May 10, 2016
Too expensive for such a simple course
par Ashwath M•
Mar 20, 2016
I felt this course could have been added as sections to other courses. One separate course for this topic is a waste of money.
par Michal K•
May 12, 2016
1 for Knitr, otherwise it's waste of time.
par Chandrakanth K•
Oct 07, 2017
I don't think it requires a separate course for this topic. possibly combine it with other courses and introduce neural networks.
par Matthew P•
Dec 18, 2016
Whilst I can see why the idea of reproducible research is important there was't really enough material in this course for the full four weeks - and in fact a lot of the videos repeated the same information.
par Bruno R d C S•
Jan 22, 2019
A great introduction to basics of scientific method concerning statistics and result reporting.
par Chanpreet K•
Dec 30, 2018
Good course content. All things explained quite well.
par Anusha V•
Jan 03, 2019
Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.
par Alzum S M•
Jan 08, 2019
A great course that will take you ahead to be a Data Scientist
par Glenn W•
Mar 04, 2019
Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.
par Fidel S C•
Mar 20, 2019
Very good course
Apr 07, 2019
One of my favorite courses in the specialization so far.
par Naren R B•
Apr 08, 2019
Would definitey recommend this, it covers an important aspect of research for Data Scientists.
par Azat G•
Jan 24, 2019
Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.
par carlos j m•
Apr 12, 2019
Great course, good lectures. I learned a lot of usable skills.
par Sebastian R•
Apr 11, 2017
Great perspective of how to do science!
Jun 14, 2016
Great course! I learned a lot. Thx.
par Christian H•
Nov 11, 2016
This course helped me realize why reproducible research is absolutely necessary, and gave me the tools to implement reproducibility in my work. Project was great.
par Lindy W•
Dec 19, 2016
Learnt some really neat new tools. Favourite course from this specialisation so far.
par Md. I H•
Jul 04, 2017
This course provides insights about how to reproduce the research findings in efficient manner.
Mar 17, 2016
Excellent course that is both well presented and very clear, providing many examples and opportunities to practice throughout the course.
par Robert D•
Nov 14, 2016
In my opinion, this is one of the most valuable courses in the Data Science Specialization. The principles of tidy data and reproducible research are critical and this course makes an excellent presentation of both. I have only just completed the course and have already begun using what I learned in my professional life.
par Jennyfer C•
Dec 14, 2016
Excellent course! I highly recommend it.