Firstly, the labs of the course have a lot of issues, I had to spend third of the study time figuring out hot to eliminate the errors, looking through discussion forums. The staff knows about the issues but doesn't attend to them for some reason. Secondly, statistical part is not very well explained. I enrolled in a different course to understand it better. Some terms and results in the labs are left not explained. The reason for calculation or the implementation are left unsaid. Otherwise, it's an ok overview of things to know and study further.

I got lost in the first few steps of how to read a dataset. Instructions need to be streamlined, and why certain steps are being taken need to be explained better. For example, I didn't understand why in Cells 1 and 2 under the Read Data heading, we were working with the autos.csv, when just before it was the imports-85.data file.

Course lacks thorough rigor or genuine assessment.

Labs are training on copy/paste and using the Shift+Enter command in the Jupyter notebook.

Assessments are multiple choice. No assessments on ability to write scripts to undertake data analysis to seek solutions.

Again, the use of the IBM cloud is a useless buffering of site traffic for your own products and does not provide anything for the course. Little to no 'challenge' questions that push the student to go beyond the hand held procedure of the labs.

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.

Big difference in difficulty between first 3 modules and last 3. Last 3 modules present advance use-cases without providing nearly enough context as when they can/should be used, nor any explanation on what the methods were doing

The course was quite good until Week 3 but after that it was poorly structured. A lot of concepts were randomly introduced without proper explanation in Week 4 and Week 5, thereby killing the fun of learning.

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.

I'll be honest this course for a beginner is difficult and incomprehensible as thereare many new things introduced which are not explained properly

yOU DEFINITELY NEED SOME BASIC PROGRAMMING BACKGROUND. i FOUND IT TOUGH

Needs more detailed learning material

many mistakes throughout

Several topics are not covered in sufficient detail. If this is a beginner's course with no prior statistical or Python knowledge required, why does is feel like the course material assumes that I have prerequisite knowledge?

The videos are a mess. The narration timing is off in several places. Some bits of information are only shown on the screen for a second before the slide changes. The audio cuts in one video. Some of the visualizations are too blurry to make out.

Eventually, I resigned myself to simply getting through this course as best I could and then supplementing certain areas by looking elsewhere for better instruction.

Hopefully IBM/Coursera will make necessary changes for future learners, although previous forum posts as much as 1 year old indicate otherwise. I posted about all of these issues in the forums myself. In response, an admin simply apologized and parroted my concerns back to me.

poorly made labs, they put their IBM stuff that doesnt even work. Each course in this certification is pure pain beacuse almost nothing works as intended. Most labs contain errors (some of them are rather critical) which are not fixed for years. I found my problems in discussion forums that were dated like 2 years ago. And none of them were fixed since that time, even though the stuff confirmed that there are serious mistakes and problems. They just dont care. Most of the time you will spend half of your time not studying, but trying to execute IBM stuff that never works, or by searching and fixing course bugs and mistakes. You may run into situatons (VERY OFTEN) when your environment doesnt even start or execute, and you will have to pass a day of your life or more by waiting help for the stuff, that doesnt even help sometimes.

The submission of the final assignment of this course is very poorly designed and explained, it wasted over 1 hour of my time. Furthermore, completion of the course CANNOT be linked to reviewing other people coursework and course completion delayed for over 1 month, because you allow to choose this course as part of my company required training that must be completed by a certain deadline. I completed the course today, but it will not record as completed until AFTER the deadline.

This is unacceptable in a professional world.

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!!!

These IBM courses are designed to force you to sign up for their products, provide personal information and credit card number, and then their products don't work. Course material is mediocre at best; if you truly want to learn the subject look elsewhere.

All labs up until the final project did not work and support was worse non-existent -- when brought up by me and other students in the course, we were dismissed.

Honestly, the labs were impossible to load and everyone is asking for help on the forums whilst staff copy/pastes the same useless answers.

NOthing related to Data Analysis. The course is all about statistic , related to data science.

Absolutely poorly designed and taught course. Would give 0 stars if I could!

Horrible, this is for data science not for a data analyst.

Information overload, too complicated

Too hard

I recently enrolled in the "Data Analysis with Python" course as part of the IBM Data Science Professional Certificate on Coursera, and I must say it is an excellent experience. The course is well-structured, starting from the basics and gradually advancing to more complex topics, making it suitable for both beginners and those with some prior knowledge. The instructors did a fantastic job of breaking down complex concepts into easy-to-understand modules. The hands-on labs and projects are particularly valuable, as they provide practical experience with real-world datasets using popular Python libraries like Pandas, Numpy, and Matplotlib. This approach not only reinforces my understanding of the material but also boosts my confidence in applying data analysis techniques in real-world scenarios. I also appreciate the inclusion of exercises and quizzes throughout the course, which helps solidify my learning and track my progress. The interactive nature of the course, combined with the supportive community of learners and instructors, makes the learning process both engaging and enjoyable. Overall, I highly recommend this course to anyone looking to enhance their data analysis skills with Python. Whether you're pursuing a career in data science or simply want to improve your data manipulation and visualization abilities, this course is an excellent choice.