Apr 20, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
Jul 13, 2018
I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course
By Guillermo M M•
Aug 20, 2018
It is missing a last project like in the two other courses... It would have been quite fun to be able to apply what we learnt in a project.
By Raghav N•
Sep 14, 2018
This course is definitely very helpful to people who are passionate about Data science and have basic to intermediate understanding of Python but this course can be much better if it includes coding assignments rather than quiz submission. It was a great experience.
By Toan T L•
Oct 23, 2018
Decent videos on Data Analysis techniques.
But the labs are poorly constructed: typos, inconstant question and solution, un-commented code and under-explained lab result.
It's a shame since the labs in other courses in this series are very high-quality.
By Raj K•
Jul 06, 2018
It would be great course for beginner to have idea about different steps involve in data science job. I would recommend to go with this course. I just took 3 days to complete this course and you can do in 2 days also. Depending on your speed.
By Vidya R•
Apr 16, 2019
By Teofilo E d A e S•
Apr 16, 2019
Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.
By Abdul M A•
Apr 17, 2019
Not very interactive with fewer help to learners
By Dylan H•
Apr 03, 2019
While a bit fast and loose with the concepts, does contain a lot of practical code as to how exactly to bring things discussed about, which is appreciated.
By Nihal N•
Apr 18, 2019
not in depth.... needs more clarity on a variety of topics
By Benoit P D•
May 04, 2019
The content of the course is very interesting. There are lots of typos in the lab workbooks though. Additionally, i found having to use Watson Studio for the assignment / labs as opposed to plain Jupyter a little annoying.
By Ivan L•
Apr 29, 2019
Typos are very unprofessional and spoil impressions of the course. Tests and labs are super-easy and do not make you think, and you only need to repeat commands from the lectures.
By Bhanu S•
Apr 28, 2019
It was difficult to retain the knowledge imparted.
By Debra C•
Mar 24, 2019
Course was worthwhile for general understanding of what can be accomplished with Python.
By Hamed A•
Apr 09, 2019
The course needs a final assignment!
By Sadanand U•
Apr 09, 2019
It would be great if we go in a little more details of when to use which metrics for evaluation. Instead of running through a bunch of concepts you could have spent a little more time in each of them.
By Chioma J E•
Apr 10, 2019
The course was not detailed enough. I think the instructor assumed that people taking the course would know a lot about Regression, Correlation and some other statistical functions, that it was hard to understand or follow at times. Maybe consider 'dumbing' down down the statistical functions so that newbies can also follow.
Overall interesting course. Thank you.
By Nadeesha J S•
Apr 11, 2019
I would like to see a final project in this course. It will encourage the learners to do more work.
By Robert P•
May 17, 2019
Some concepts were quite confusing and not that well explained.
By Maciej L•
May 16, 2019
Too many complicated things happening at once. It is hard to digest and follow.
May 28, 2019
Lots of good concepts. However, too complicated and could have been explained a bit more.
By Jesse Z•
Jun 05, 2019
For such a important topic, it seems like the videos sped through some essential topics.
By Jackson V•
Jun 06, 2019
Not as impressed with this course as the previous courses. My main complaints were:
-Seemed to be some gaps between the lectures and labs
-Some lectures seemed rushed through w/ simple questions, and did not prepare well for the lab
-Pre-written code in labs would produce errors
-Spelling mistakes (i.e. the week 5 "Quizz")
-No final project to conclude and summarize up our learning
By Alton M•
Jun 08, 2019
The course requires more interactive programming.
By Ahmad H•
Jun 08, 2019
This course is very tough
By Ana C•
Jun 11, 2019
Goes to fast in some aspects, the theory is completely missing in this course