9 de set de 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
27 de ago de 2016
Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.
por Anne M•
27 de dez de 2015
Quite fast-paced indeed. Even the instructors seem like they're in a rush :)
It would have helped if there was a glossary of terms for people who aren't well-versed in programming basics.
But in summary, it's an interesting course =)))
por Anneliese G•
26 de set de 2019
I really liked the concepts covered in this course and found the instructors engaging. I felt the course readings were essentially the same as what was covered in the presentations so would probably skip one or the other next time.
25 de jun de 2020
Great content. I suggest to improve a little bit the audio quality on the second and third professors, the qaulity of the sound is slighlty lower and makes harder to understand it at high speed for me (no native english speaker)
16 de mar de 2017
Extremely helpful and informative this was my first time experience going through an online training, i should say thanks team for making it so easy and effective :-)
Looking forward for more sessions and positive experiences.
por Scott Y•
27 de dez de 2019
Good course with the right level of detail to get your feet on the ground with data science. As an executive learning the Data Science field later in my career I found it to be challenging enough and relevant to my work.
por Michael W•
5 de jun de 2016
Was a good introduction. The focus was good as I feel I came away with knowledge of the field as opposed to technology. Only recommendation is to ask professors to use more practical examples in the lectures.
24 de dez de 2016
Really good quick and dirty high level overview of how to structure and talk about data science projects. Great for improving communication about your project to your boss and people from outside of your team.
7 de ago de 2022
Overall, good introduction to the world of data science. Lecturing quality differs depending on the instructor, but for the most part I found the information and perspective helpful to understand this field.
por Aibek Z•
7 de dez de 2020
The course is difficult for the newbies like me. The lectures are made in a good way, however, the materials were really difficult. I had to google the information in a simplified form from outside sources.
por Howzit Y•
29 de mai de 2021
Overall, a good intro level course to the business or applied opportunities of data science and how to have a sensible conversation about data science opportunitie with data scientists or technical teams.
por Dynasty D•
18 de set de 2015
This course was truly a crash course with less crashing and more succeeding on the parts of the professors. My only suggestion is to more clearly outline and link the next classes in the specialization.
por Nicholas G•
9 de jan de 2018
Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.
por Sivakumar K•
19 de jul de 2017
This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.
por Rupali A•
29 de dez de 2019
Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.
por Jiajing X•
21 de jun de 2016
fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science
por Victor M•
27 de jan de 2020
As questões poderiam ser mais elaboradas.
Ou até mesmo criar mais questões de fixação. Acredito que se o aluno tiver vários exercícios ele conseguirá assimilar mais o material.
por Krisiphala S•
8 de fev de 2020
Well it got the objective right which is only a crash course in data science for beginners, but I think the team could make a more engaging and practical videos with more of real life cases
por Ann O•
13 de jun de 2016
Provided a good, very high level overview. I audited so I didn't take the quizzes, but the questions were all on the general side. I liked how they used some examples of real-life research.
20 de fev de 2020
I think the course design was really excellent. Though he seems like he is a nice, intelligent person, I found it hard to relate to Brian Caffo. His delivery was quite dull, and boring.
por Ashok N•
12 de jan de 2016
This course is a really good starting point for people new to the field of data science. I come from a data warehousing and historical analysis background and I found this course useful.
por Jeremy H•
9 de ago de 2016
It would be good to be able to complete the quizzes even if you are not paying for the certificate, this would enable people to understand how much they have taken away from the class.
por Prem S•
15 de fev de 2018
This course is good starter for anyone wanting to understand data science projects, be it if you are trying to pursue a career in data science or trying to understand overall picture.
por CCC E•
1 de nov de 2020
Was I able to learn more about data science form this course? YES!
It was a sweeping crash course to say the least but the effort put into summarizing the key ideas were well-thought.
por DIMITRIOS R M•
10 de jan de 2020
Thanks folks! This was a fun course to do. Although I had a reasonable idea about the topics covered, it did a good job consolidating everything into something that is applicable to
por Brian R•
23 de fev de 2021
A good, quick overview of data science. Definitely took me less than 7 hours. I played most of the lectures at 1.5x speed. There was more time given to the tests than necessary.