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
교육 기관: Roberto B•
Jul 10, 2019
I'm not convinced that this is a great way to learn, I just feel there needs to be a better way of learning this than the approach this course takes, I kind of learned the python commands but I'm not sure I understand how to apply them in the real world. We'll see
교육 기관: Nilanjana•
Jul 12, 2019
More examples and code examples needed
교육 기관: Naveen B•
Jul 13, 2019
Some of the codes shown in the videos had minor errors. Also, a bit more explanation for function (in statistics terms) would have helped in having a better understanding.
교육 기관: Alejandro A S•
Jul 25, 2019
Experimented a lot of problems to complete the assignment
교육 기관: Hao Z•
Aug 12, 2019
IBM Cloud is difficult to use.
The generated link of notebook will not share the latest version, if you click the share icon before editing the notebook.
교육 기관: Rosana R M•
Aug 13, 2019
The course is too long. The material should be divided and explained more detailed.
교육 기관: Arjun S C•
Aug 14, 2019
Lots of bugs and errors. No instructors reply on the discussion forum.
교육 기관: Ashwin G•
Apr 26, 2019
Too fast and could have included more examples.
교육 기관: Jessica B•
Jun 14, 2019
Good content, but lots of typos. The outsourcing is extremely evident.
교육 기관: Bjoern K•
Jun 14, 2019
Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help
교육 기관: Alexander P•
Jun 14, 2019
Lots of spelling and grammatical errors that made it difficult to understand some of the material. It is otherwise an interesting course.
교육 기관: Kristen P•
Aug 19, 2019
The work in this course was incredibly interesting. However, there are many errors and the forums went for over a week without response to questions...It seems hastily put together.
교육 기관: Lyn S•
Aug 16, 2019
It's difficult to rate this course, because based on other courses in the data analysis program I had low expectations. I am not sure this is good for a beginner, very poorly explained, the person who wrote it is knowledgeable, but he is not a teacher. You will struggle a lot if you don't already know a fair amount. I had to go to third party internet sources to understand a few things. But, this is pretty cheap and easy. I was looking to learn and to show a credential certificate, this supplies the latter, but not so much the former. The most disappointing issue is the time we have to spend with easily fixable issues, such as code not running, no upload buttons for some test answers. You have to search thru a lot of other discussion issues to find out what to do - after spending hours trying to figure out on your own - very disrespectful. I am ok with typos, but it does show the entire thing is very sloppy.
교육 기관: Pedro F•
Aug 22, 2019
Little bit confusing, unstructured and not easy to follow. Material inside is good though, but the course needs to be improved.
교육 기관: Filipe S M G•
Aug 24, 2019
Good introductory course on Data Analysus with Python. Since the course is short, the functions and concepts are explained very quickly. There are also many mistakes in the slides, notebooks and even in the final assignment.
교육 기관: Abhishek K•
Aug 26, 2019
Model creation and analysis part are too short, should have more details to understand the concepts better.
교육 기관: Sathiya P•
Aug 27, 2019
Nicely thought, but I felt concepts like Decision trees, Random forest were missing
교육 기관: Brett W•
Sep 17, 2019
While the lecture material is well presented and certainly can be followed, the slides are littered with spelling mistakes, and many in important places (code that couldn't run as displayed.) Even the final assignment had formatting issues, and without the discussion forums suggesting removing the confidence interval, it was taking an excessively long time to run. These are generally minor issues that can be ignored, but as a mass, they are embarrassing at best.
교육 기관: Ying W O•
Sep 27, 2019
There are lots of typos in the labs and assignments, which can be frustrating. I expect better quality from IBM. Content is great and easy to understand nevertheless.
교육 기관: Sachin L•
Sep 26, 2019
More examples and detailed explanation
교육 기관: Filippo M•
Sep 27, 2019
Useful course, but the IBM online platforms are not working well.
교육 기관: Dominic M L C L•
Sep 16, 2019
Too many errors in the code and explanations. Makes it very difficult to understand which is the right procedure/conclusion.
교육 기관: Anmol K P•
Oct 14, 2019
Course could have been more elaborate in depth and scenarios
교육 기관: Alistair J W•
Nov 17, 2018
There were numerous issues with editing of the content in this course that certainly impacted its effectiveness. While that is not uncommon the forums indicated that these had been identified by other learners months ago and not addressed.
교육 기관: Mehul A•
Dec 24, 2018
This course is not friendly to new beginners in Python. Especially the weeks 3-5 are too intensive without any real explanations of the logic behind the code shown. Linear Regression, ridge regression, etc are too advanced for new joiners who struggle with basic python. Also, there are some erroneous slides present in a couple of videos that add to the confusion. Would not recommend this course to any Python beginners.