课程概述
热门审阅
RP
Apr 19, 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.
SC
May 5, 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.
2226 - 使用 Python 进行数据分析 的 2250 个评论（共 2,276 个）
创建者 Cláudia S B
•Jul 16, 2021
The artificial voice used over the video is truly awful for learning. I enjoyed the jupyter notebooks where I actually could learn what was bla-bla-blaed in the videos
创建者 Michael M
•Dec 20, 2019
The IBM Developer Skills Network (at labs.cognitiveclass.ai) is very slow and doesn't work most of the time.
It doesn't allow to finish the course properly.
创建者 Ismael S
•Jun 2, 2019
Content is thrown to the student with too much information and videos of only 3-4 minutes. Too much to absorb and too little to practice properly
创建者 David K
•Apr 28, 2020
Too many errors. Please renew the course asap for the future learners. These errers are distracting and make the learning experience less fun.
创建者 Archana B
•Apr 28, 2021
Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(
创建者 Tarun S
•Mar 10, 2021
Concepts of the algorithms are unclear. In the notebooks as well, it is not in a flow. Very confusingg for a beginner to learn from this.
创建者 Malcom L
•Jan 11, 2019
more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.
创建者 Santanu B
•Apr 16, 2019
Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.
创建者 Rajesh W
•Oct 17, 2018
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
创建者 Wayne W M
•Oct 2, 2019
This was a very challenging course. Some concepts were difficult to grasp and required additional research
创建者 Mark F
•Apr 8, 2020
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
创建者 Hunter I
•Apr 17, 2020
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
创建者 Ashwin D
•Apr 29, 2020
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
创建者 Nathaniel S
•Mar 29, 2020
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
创建者 Katherine L
•Jun 5, 2022
coursework was easy but that damn final assignment was absolute hell for no reason whatsoever
创建者 Edwin S J
•May 25, 2019
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
创建者 Somak D
•Oct 30, 2018
moderators do not respond to questions raised in forum. leading to incomplete learning
创建者 Syed I B S A
•Jun 10, 2021
Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.
创建者 Sahar A
•Oct 3, 2021
it was too fast and I didn't understand a lot of things
创建者 Jen E
•Jul 31, 2019
So many problems with the lessons and the final project.
创建者 Rasmi D
•Jun 18, 2019
very high level... topics not covered in depth
创建者 Ahmed E
•Aug 8, 2020
some commands are not fully explained.
创建者 Pradeep Y
•Dec 16, 2021
it is very easy courses
创建者 121910319041 M P
•Apr 8, 2022
good
创建者 Sébastien F
•May 25, 2022
This is the 7th of the 10 modules of IBM data science certificate :
What is Data Science? Tools for Data Science Data Science Methodology Python for Data Science, AI & Development Python Project for Data Science Databases and SQL for Data Science with Python ==> Data Analysis with Python Data Visualization with Python Machine Learning with Python Applied Data Science Capstone
A very dense module, specially the week 5. Labs are confuse and should be reviewed and restructured.
By far the most important module for now, and unfortunately the worst too.
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