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.
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
By SJ H•
If you are not extremely careful, Professor Peng will absolutely deflate your enthusiasm towards data science. That is as pleasant as I can be. Otherwise it's good learning material.
By Matthew B•
Didn't get much into the managerial aspect of a data analysis. Instead, it covered best practices for conducting a data analysis. Not the same thing and a little disappointment.
By Kamil P•
It is quite general, I liked the examples, although there could be more varied examples from many other dissimilar disciplines.
By Joe Y•
The questions can get a little too wordy. Find the questions difficult to follow after reading the entire length.
By Jose C O B•
I think these courses need to be condensed into a single one as the contents are rather limited individually.
By Alex F•
Good baseline - might be hard to follow for someone who has not been working the DS Specialization
By Sona L•
Too theoretical for my needs but gives a good background to how to approach analytics.
By Julian P•
too much time between the videos and the related questions to the videos
By Suzen C•
Lecture component not as concise or well edited as expected.
By Enzo D•
The course is good, but too general and a little boring :(
By Sebastian C•
The videos are to long, but the content is great.
By Marc B•
Lot of talking, lack of visual, templates, etc.
By Ruchit G•
More case study to relate will be very useful
Concise overview. Worthwhile introduction.
By Deepak G•
Very short. Quality of the course is OK.
By Boris L•
Not much substance to take from this.
By Daniel R D•
Many very useful information.
By Weihua W•
Too abstract, too expensive.
By Mohamed T K•
Good,but boring slightly
By Tristan C•
Ok but a bit light.
By Andre R•
Not as I expected. More readings than practices/exercises. Seems more target on traditional statistics than machine learning.
By Marcelo H G•
MIssing real management stuff. Where is project management knowledge? It is superficial in management side, really.
By Robert J•
There's room for improvement, aspects are unnecessarily convoluted.
By Shafeeq S•
Not much to learn from this course. too much verbose.