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.
May 06, 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.
교육 기관: 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.
교육 기관: Damian D•
Feb 13, 2019
There are some mistakes in the course (wrong transcryptions, missing cells in LAB).
The material is quite difficult and more explanation / exercises would be needed.
There is no assignment at the end of the course which I consider as minus.
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: 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.
교육 기관: 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.
교육 기관: Joseph M•
Feb 21, 2019
There were serious problems with this course, not in the instructional material but in the execution. There were multiple typos in the code. The especially grievous ones being in the dictionary names.
교육 기관: Deren T•
Jan 07, 2019
This is the 6th course of the specialization and I gave 5 stars to the previous courses. But this course have many typos in videos and codes. It makes harder to understand some points.
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: L V P K M•
May 14, 2020
Videos are very fast and dont go into details. Assignment is very easy, it could have been more challenging which can test and make learner to think using several concepts learned.
교육 기관: 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.
교육 기관: Vladimir K•
Feb 24, 2020
So many errors in materials. It's unacceptable for course of such level. Even though people mentioned these errors in discussion forumns noone seems to bother about correct em.
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: 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: Matteo T•
Jan 01, 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.
교육 기관: Marcel V•
Jun 28, 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.
교육 기관: 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.
교육 기관: Xuecong L•
Feb 16, 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!
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: Neo B•
Feb 11, 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
교육 기관: Goh S T•
Apr 08, 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.
교육 기관: Girgis F•
Dec 31, 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
교육 기관: 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.
교육 기관: A 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: 靳文彬•
Mar 11, 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
교육 기관: Siwei L•
Jan 23, 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.