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.
创建者 Mahvash N•
Mar 05, 2019
Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.
I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.
Dec 19, 2018
I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.
创建者 Rebecca V•
Mar 05, 2019
Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.
创建者 Rene P•
Mar 24, 2019
There could be links to functiones libraries in the lab for a fast check of a function if needed.
创建者 Charles C•
Feb 05, 2019
Some mistakes/ typos in the exercises and slides, but great overall
创建者 Yogish T G•
Mar 30, 2019
An assignment should have been included
创建者 Niko J•
Apr 29, 2020
The course included a lot of very useful information. Thank you for that! Unfortunately it is also full of mistakes/misinformation. Every time I was about to report those errors, I found out that they have been already reported in the forum. And usually reporting had happened several months ago so that left me wondering how it can be that the mistakes are still there. So far I've been participating two other Python/AI courses by IBM and they were 5 starts. For this one, unfortunately 3 stars is best I can give with all the unfixed mistakes..
创建者 Miguel E M•
Apr 15, 2020
There where some typos in the labs that could confuse most learners. I didn't feel like the course prepared people for real applications. The final project was quite hard because of this .
But it does give you a wide vision on hoy pandas work and some basic but apparently often used tools.
I see this course as a complement to a more detailed data analysis resource or perhaps as simply as an introductory view.
创建者 Jaime V•
Feb 22, 2019
in this course there were some errors on the slides, and some quite complicated topics (almost every time related to statistics) was given in a very over-viewed way. Also, some of the python codes were not explained very well, with some terms of them seem to be kind of arbitrary for those who are beginners in the language. My impression is that this course should be longer and more detailed.
Nov 20, 2018
Overall I benefitted the course material as a beginner in python and data analysis. The questions were too trivial but maybe that helped me remain engaged with the course and complete it in a short time frame. There were some bugs, typos and minor quality issues that did not really effect my overall experience.
创建者 Katarina P•
Jun 27, 2019
Many typos in videos, stats explained on a very rudimentary way (and often inaccurate), Watson environment is awful as it takes ages for some simple regression plots to be made, it freezes and the interface is not user-friendly, yet we have to use it.
创建者 Sadanand B•
Feb 07, 2019
Seems like there are quite a few errors in the labs that confuse the heck out of a student. The labs need to be fixed else the material becomes useless.
创建者 Ravindra D•
May 11, 2020
Course content does not give proper understanding of the different approaches. For the person who is not from mathematics background it is confusing.
创建者 Bhuvaneswari V•
Mar 09, 2019
The statistics background needed for the course need to be better explained. or at least reference to related learning materials to be given
创建者 Russell K•
Apr 26, 2020
Too many errors in the lab examples can be rather confusing.
Also, the Seaborn code was not working in IBM Watson Studio
创建者 Mariam H•
May 02, 2020
Great course but some of the concepts are not explained very well. I got lost towards the end but overall i like it.
创建者 Andre L•
Mar 10, 2019
Lot of information, but offered in a very choppy manner. Was hard to follow, will need to review many many times
创建者 Abdulaziz A•
Apr 12, 2020
the course content is excellent but some Technical issues occurred in doing the lab exercises
创建者 stijn d b•
Dec 29, 2018
i was following nicely until week 4 but halfway there it got really difficult. To a point in week 5 when all i could do was copying code and adjusting it. I have no idea what i was doing, i totally lost the bigger picture. I'm sure i could never replicate any of it outside the course or explain what i learned.
创建者 Elvijs M•
Apr 18, 2020
The course makes you aware of some Data Analysis techniques, but you learn very little. The explanations are very superficial. And since nearly all the code is are already there, you are not forced to think about the concepts and methods.
创建者 Ibrahim A•
Apr 27, 2020
This course ranks the least of the wonderful courses I have taken with coursera. There is definitely room for improvement in the delivery of materials.
创建者 Mohammad M A•
Apr 22, 2020
I'll be honest this course for a beginner is difficult and incomprehensible as thereare many new things introduced which are not explained properly
创建者 Benjamin J•
Dec 01, 2018
many mistakes throughout
创建者 Jennifer R•
Apr 01, 2020
The topic is very interesting, but the execution was poor. Code and numbers were just being read at me, instead of focusing the recorded lectures on teaching concepts and troubleshooting, and leave the code to be read by myself in the labs. Also, the quizzes along the way were nearly useless: only two questions, a "pass with at least 50%", and the questions asked were very superficial. This is the most poorly executed course I have taken on Coursera so far.
创建者 Nizami I•
Oct 06, 2019
The course structure and videos are nice, but THERE ARE SO MANY ERRORS in the videos. I spent so much time to google and fix these errors. It is really terrible and I dont understand how people gave the high grade. I stopped watching videos after Week 3, because I fed up correcting their errors. Although people have mentioned it long time ago, but nothing has changed. Really shame on Coursera and IBM that have such quality!!!