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RP
2019年4月19日
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
2020年5月5日
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 個評論（共 2,276 個）
創建者 Cláudia S B
•2021年7月16日
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
創建者 Michael M
•2019年12月20日
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.
創建者 Ismael S
•2019年6月2日
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
創建者 David K
•2020年4月28日
Too many errors. Please renew the course asap for the future learners. These errers are distracting and make the learning experience less fun.
創建者 Archana B
•2021年4月28日
Model Development and Model Evaluation & Refinement Concepts are not explained properly neither in Videos nor in Lab!!Really disappointing :(
創建者 Tarun S
•2021年3月10日
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.
創建者 Malcom L
•2019年1月11日
more hands on, project based/game based learning. Mindlessly watching videos and regurgitating code in the labs can not be the only way.
創建者 Santanu B
•2019年4月16日
Not a great course. Sometimes it is too fast and the explanations are very short. More hands on exercises would have been more helpful.
創建者 Rajesh W
•2018年10月17日
There are plenty of mistakes in the videos and in the lab session as well. Hope you guys can clear out those.
創建者 Wayne W M
•2019年10月2日
This was a very challenging course. Some concepts were difficult to grasp and required additional research
創建者 Mark F
•2020年4月8日
Frustrating when the peer reviewer doesn't actually understand Python and deducts marks for correct code.
創建者 Hunter I
•2020年4月17日
Leaned some, but not a whole lot of real-world application, I recommend people take Python courses more
創建者 Ashwin D
•2020年4月29日
Not enough hands on problems, including variety and volume. Expected more from an IBM program.
創建者 Nathaniel S
•2020年3月29日
Don't spend your money on IBM Data Science Cert. Course labs are full of bugs and not working.
創建者 Katherine L
•2022年6月5日
coursework was easy but that damn final assignment was absolute hell for no reason whatsoever
創建者 Edwin S J
•2019年5月25日
Suddenly introduced complex codes and statistical functions. Videos were way too fast.
創建者 Somak D
•2018年10月30日
moderators do not respond to questions raised in forum. leading to incomplete learning
創建者 Syed I B S A
•2021年6月10日
Worst course in the IBM Data Analyst Professional Certificate. Very badly explained.
創建者 Sahar A
•2021年10月3日
it was too fast and I didn't understand a lot of things
創建者 Jen E
•2019年7月31日
So many problems with the lessons and the final project.
創建者 Rasmi D
•2019年6月18日
very high level... topics not covered in depth
創建者 Ahmed E
•2020年8月8日
some commands are not fully explained.
創建者 Pradeep Y
•2021年12月16日
it is very easy courses
創建者 121910319041 M P
•2022年4月8日
good
創建者 Sébastien F
•2022年5月25日
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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