Mar 01, 2017
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
Nov 23, 2016
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
автор: Christos G•
Aug 29, 2017
Very interesting insights and ideas about how to manage Data Analysis, especially the part with the communication. I think there could be some more emphasis on the troubleshooting side, as it overall appeared to be a finite, engineering process which can always end successfully if the instructions are followed closely.
автор: Triste R S•
Feb 08, 2017
It was very informative. The instructor needs to slow down just a little though, I could tell he's a little nervous speaking to "large groups". Otherwise, it was great. I'm from BAWA and I am familiar with and love JHU, so I support any great course coming from there.
автор: Jens P•
Apr 11, 2016
Excellent focus on what makes managing Data Analysis teams different from managing managing other teams. This course has the most impact if combined with general management background/classes. Speech fillers, like "um," "ah," "like," etc. prove distracting at times.
автор: Carsten K•
Jun 04, 2020
Great course and overview of the processes involved. But it would be great if the readings were also put into videos (I'm doing an online course - if I wanted a book, I would buy it). And please (!!) get rid of the music in some of the videos, as it just distracts.
автор: JOSEPH A•
Apr 09, 2018
Brilliant course - fantastic overview. What's lacking for 5* is the EDA exercise in R should've been within an R IDE to enable total beginners to get more hands on. After all EDA is mostly about DOING. Hope course designers fix this for the next iteration.
автор: Cristian F•
Nov 12, 2017
The topics in the course shows that there is a set of steps to counduct a data science project since the definition of the question to solve to the apropiate way to communicate the results. The content of some videos could be considered technical.
автор: serge a•
Dec 21, 2017
Very valuable, however, in particular the section on inference vs prediction included material not explained before and hard to follow. Also examples with t-values and interpretation of values when adding confounders was difficult to grasp.
автор: Rorie D•
Apr 18, 2016
Liked how a lot of content was covered in a small amount of time. Thought the instructor was effective in presenting the important elements of the lectures. Only issue is some typos in the quizzes that were a bit distracting.
автор: Sandro A•
Nov 08, 2017
Great course with short digestible lessons, great lecturer with an ability to communicate technical details in a very engaging manner, and my appreciation of data analysis is better. Am glad I took this course.
автор: Janusz Z•
Oct 04, 2015
It was a great experience a big amount of knowledge in a short presentation. Overall the summary papers are great, however I missed a more interactive videos with more bullets points and etc.
автор: Benjamin T C•
Dec 31, 2019
Like other reviewers said, this course is larger than the two previous courses. The content is excellent but I am giving 4/5 stars because I found many misspelled words throughout the course lectures.
автор: RANJITH D•
Apr 07, 2019
This course is not for a person without any idea of Data analysis or Statistics. This course isn't for beginners. The content could have been presented even better with lucid examples.
автор: Vipul G•
Jul 26, 2017
Good overview of the process. Helped me in bridging data analysis processes with things that I already do as part of project management or business analytics/decision support projects.
автор: jose a z r•
Nov 11, 2015
Critical thinking is essential at the moment of working over data. This was a nice course with a very good theory about all the process,which a data analyst has to perform.
автор: Kevin C•
Oct 31, 2017
Well defined strategies for getting a handle on the data analysis process. Short and concise class that hit on relevant points required to be successful in this area.
автор: George K•
Sep 16, 2017
sometime it was not easy to understand the lecturer. also, it would be good to try some things out versus reading the expamples. other than that - a great course!
автор: Bernard D V•
Mar 19, 2020
A great course with a lot of information. However, the course might be more concise sometimes due to the complexity of the information brought by the instructor.
автор: Scott K•
Oct 11, 2015
Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.
автор: Kian G L•
Aug 12, 2016
Comprehensive overview to understand activities involved in the iterations and epicycles of Data Analysis and to manage it with correct expectation.
автор: Victor D R L•
Apr 24, 2020
It is a very good course but challenging, I had to make a lot of notes to understand the concepts and follow the lectures. It is a good investment.
автор: Deleted A•
Feb 20, 2019
While it was good, a lot of overlapping information and I wish it had more specific examples (rather than theoretical) in public health standpoint.
автор: Sarah A M A•
Aug 14, 2020
a lot of information, in a short period of time, I think it would be better if they use presentations and graphs and would be more easy to follow
автор: Abhi k•
Dec 08, 2015
If you can make the assignments nearer to the real world scenario and a little more detailed explanations for some parts, it would be great!
автор: Siddharth T•
Apr 03, 2016
The content is covered in great depth in this course but pre-reads may help as the course moves up a few notches in technical content.
автор: Filipe G•
Mar 30, 2018
Useful overview of considerations when managing data analytics work. A bit superficial, but still a useful reminder of the basics.