19 de abr de 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.
5 de mai de 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
por Naveen B•
12 de jul de 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.
por Sruthi A•
20 de jan de 2021
This course covered all the topics and overall it's a good one. I wish there were more examples, as it was hard to understand the details in depth with just one example .
por Marta I•
23 de ago de 2020
This is a good course for beginners with Python. The content is explained in a very direct and comprehensible way, but more programming exercises and tasks are required.
por Ying W O•
27 de set de 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.
por Matteo T•
1 de jan de 2020
This course is quite good. The bad thing is that the arguments of the last "lesson week" are treated very superficially, taking for granted some advanced knowledge.
por Marcel V•
28 de jun de 2019
A lot (too much maybe) is covered in this coarse
It really helps a lot when you know some statistics. Like linear regression,
Why gridsearch was covered I wonder.
por Milica V•
24 de mar de 2022
It could be better. It provides a lot of coding, but it does not explain all the aspects of it. The tests are not a good representation of what has been done.
por Dylan H•
3 de abr de 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.
por Xuecong L•
16 de fev de 2019
Thanks for teaching me the systematic way to do data analysis! However, I found quite a few mistakes in the lectures in this course, hope it will improve!
por Namra A•
8 de ago de 2021
This course was good if you study the course and study the material from other sources and books too ,so it will give you deeper and more understanding
por Hao Z•
12 de ago de 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.
por Neo B•
11 de fev de 2019
Data visualization was taught in details in course 7 and regression was taught in course 8. With no backgrounds, the codes in this course are scaring pe
por Goh S T•
8 de abr de 2020
The section on model development and evaluation is not so clear. It is difficult to understand if you have no prior knowledge of machine learning.
por Girgis F•
31 de dez de 2018
Course was great however i felt a lot of material was covered in a short period of time, this course can be 2 or 3 courses based on the content
por Guillermo M M•
20 de ago de 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.
por A P•
14 de jun de 2019
Lots of spelling and grammatical errors that made it difficult to understand some of the material. It is otherwise an interesting course.
11 de mar de 2020
There is no slides to download or review after class which makes it hard to go over the knowledge again without watching the video again
por Siwei L•
23 de jan de 2020
The video is too short and many concepts remain unclear or poorly explained. More contents need to be added to the questions and tests.
por Carlos G R G d l C•
26 de mar de 2020
It's an excellent course; the best part is the labs. It's a pity that we (the students) have a lot of problems loading the labs.
por Pedro F•
22 de ago de 2019
Little bit confusing, unstructured and not easy to follow. Material inside is good though, but the course needs to be improved.
por sangeet a•
8 de abr de 2020
Things are too fast in this course and many things remain unexplained which makes it difficult for one to understand properly
por Dominic M L C L•
15 de set de 2019
Too many errors in the code and explanations. Makes it very difficult to understand which is the right procedure/conclusion.
por Adam J L J H•
24 de mai de 2020
This course focuses a lot on the theory and explanation. However, there isn't much hands-on practice for the coding itself.
por Osama W•
25 de ago de 2020
*No response to some questions/comments on the forum
*More details/thorough clarification required for some points covered
por Rishika A•
26 de mar de 2020
There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly