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

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.

Big data analytics is becoming new norm of organization eco-system to derive data driven decisions rather than opinion based decisions

This course on data analysis with Python started with basics and covered topics on preparing data for analysis, performing

simple statistical analysis,data visualization, predicting trends and patterns to have meaningful conclusions.

Course structure is nicely organized with step by step lectures with quizzes at interim levels aided by practice session.

Course has an interactive window which is similar to Jupyter NoteBook so that learner can practice their learning within the online course itself.

Moving forward to applicate these leanings in automating domain specific tasks in my portfolio.

Thanks to ASHOK LEYLAND for providing opportunity to learn Digital online courses.

The "Data Analysis with Python" course, presented by IBM on the Coursera platform, proved to be an exceptional and enriching educational journey. This meticulously crafted program offered a comprehensive initiation into the art of data analysis with Python, delving into pivotal libraries such as NumPy, Pandas, and Matplotlib. The course thoughtfully integrated hands-on assignments and real-world projects, captivating learners with their relevance and engagement. Seasoned instructors with profound expertise and unwavering support added a layer of excellence to the learning experience. Undoubtedly, this course is a perfect entry point for aspiring data analysts keen on immersing themselves in the world of Python-based data analysis. Wholeheartedly recommended!

The "Data Analysis with Python" course provides an exceptional foundation in leveraging Python for comprehensive data analysis. With its rigorous curriculum, the course delves into essential techniques and tools, including Pandas, NumPy, and Matplotlib, equipping students with valuable skills for handling and interpreting complex datasets. The hands-on approach and real-world case studies enhance the learning experience, ensuring practical application of theoretical concepts. Expert instructors deliver content with clarity and precision, fostering a deep understanding of advanced data analysis methodologies. This course is an invaluable investment for professionals seeking to advance their analytical capabilities and drive data-informed decision-making.

Before enrolling in the IBM Data Science Professional Certificate program, it was stated that upon completion, you would receive a certificate titled "IBM Data Science Professional Certificate." However, after completing all the courses and downloading the certificate, I noticed that it is simply labeled "IBM Data Science." My concern is that the certificate does not reflect the professional certification that was advertised. I have gained substantial skills and knowledge through this course and specialization, and I feel somewhat misled by the discrepancy in the certificate's title. I request that the team address this issue and ensure that the certificate accurately reflects the "IBM Data Science Professional Certificate" as initially promised.

I would like to express my deep gratitude for the opportunity to participate in the Data Science course. The content was extremely informative and incredibly useful. I have gained valuable insights and practical skills that I am confident will be beneficial in my career. The tutors were very knowledgeable and provided comprehensive feedback and support throughout the course. The inclusion of real-world case studies and hands-on projects enriched the learning experience. I appreciate the well-structured and professionally organized course that allowed me to learn at my own pace. I look forward to applying the knowledge and skills I have gained from this course in my future endeavors. Thank you once again for a remarkable learning experience.

I read the book 'An Introduction to statistical analysis using R'. To reach to the concept of ridge regression it took about 3 months (as i can only spend an hours a day study hour) and page number > 200 for me to understand the statistical concepts of ridge regression, cross validation etc. And still I was tentative in R. Now, based on this video course and labs, the learning concepts and python implementation could just be done in 2 weeks time (spending 4 hrs on weekends). A lot of effort has been put in this course to make it sound simple. Thank you authors. Wish you continued motivation to design such courses.