Aug 20, 2017
A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.
Nov 12, 2017
Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.
von Gonzalo G A•
Dec 16, 2016
It's sometimes difficult to follow professors beacuse they take for granted information about the examples they use that is not evident for the learners. They should take a minute to explain a little bit more what the examples consist of and what are the charts they show. As it happens when Brian Caffo explains the blocking adjustments part.
von Cauri J•
Jul 04, 2017
I found this course used a lot of jargon without explanation. It seems like the instructor understands the content so well that he assumes a level of knowledge from students that do not match the expectations of the rest of the content in this track. At the same time I found the content well presented.
von Michail C•
Jul 17, 2019
This course is an excellent effort to document the issues faced in real-life data science. However, the flow of the videos seems to be a bit confusing and some of the content is explained in a weird manner.
von Daniel C d F•
Dec 06, 2016
I missed several concepts to better understand some of the discussions and explanations. It was valid, but I think the statistics background should be better explored.
von Peter L•
Aug 14, 2018
The course is valuable but highly focussed on scientific applications (inference) and less on business application (i.e. prediction). I hoped for a more even mix.
Jul 05, 2020
It was good, but the content is harder to understand in this course.
I would prefer a similar format and emphasis as the other two last courses.
von Sean H•
Nov 24, 2015
The video quality and content were good. Unfortunately, there were a lot of spelling errors and grammatical mistakes in the written portions.
von Chong K M•
Mar 18, 2018
Very difficult and time consuming course which contains a lot of technical words and jargon. Not recommended for the average beginner.
von Jean-Michel M•
Feb 22, 2019
I would drop some of the cartoons. They are funny but they seem to distract Bryan and overall it's distracting for us students too.
Jul 28, 2020
First of all it's too tough to understand but day by day I understood something I got it ..tq.it is very helpful for my studies
von Rong-Rong C•
Dec 14, 2017
There is a lot of technical jargon covered which made the course more challenging than the other courses in the series.
von Alberto M B•
Mar 20, 2019
It wasn't as focus on Managing Data Scientists as I was expecting, but rather focus on tips for Data Scientist.
von Marco A P•
Jan 03, 2017
Much theorical with few examples. Could incorporate examples outside the health world as well.
von Giovany G J•
Jul 15, 2020
I would prefer that the examples be expressed with statistical and mathematical calculations
von Gilson F•
Aug 02, 2019
Não gostei muito da didatica do instrutor e os slides não ajudam no entendimento
von emilio z•
Jun 06, 2017
Explanations in videos qere not very clear nor very well connecetd with the Quiz
von Christopher L•
May 03, 2018
Would have liked a bit more examples and math in some cases. Others were fine.
von Ioannis L•
Apr 09, 2017
A bit less engaging than the other parts of the Executive Data Science course.
von Patricia S•
Jan 02, 2020
good content but could be simplified and presented in a more focused man
von Gowtham V•
May 03, 2020
Would like to have simpler examples to understand some of the concepts.
von Amal L C•
Mar 16, 2017
It was quite hard with all the statistical jargon. Too much theory.
von Poon F•
Jan 30, 2018
This class has more useful materials than previous ones.
von Manas B•
May 11, 2016
Relevant materials, but lecture delivery is rather dry,
von Matej K•
May 01, 2018
Sometimes it was hard to understand what's going on.
Apr 02, 2019
The material is too long and boring.