This was informative, but there are many lab issues that are over a year old, which many participants have naturally come across without a solution and had to make due with subpar submissions, or lost plenty of sleep, time, and health to complete. Please incorporate a list of tips at the end of each lab that handle the typical pitfalls, so the forums can be left for really unconventional problems. The "Collecting Job data from API" lab does not allow importing of a certain library for creating an excel worksheet.

Very confusing and frustrating sometimes. Unclear instructions especially in modules 1 and 6. IBM software glitchy, resorted to using jupyter notebook on my computer where possible. This was impossible in module 5, which subsequently took a much longer time to complete. Time spent logging in and out, in and out... Discussion forums difficult to navigate through. Page 1 of discussion results shows results 1 to 10, page 2 shows results 2 to 11, page 3 shows results 3 to 12 (??!!), etc... Text boxes for final submission: very unclear what to do here. After a long time on the discussion pages, it seems all that is required is to write "Yes" in every text box. What's the point? At least be clear about that in the instructions and save us all 45 minutes of searching the discussion forum. I estimate I spent 15 to 20 % of my time on this course trying to devine instructions and working around technical issues, not learning.

No clean instructions. You can't take the course unless you are familiar to IMB's watson and Jupyter notebook app.

This specialization was on the top of my all courses. So many different choices for trying to learn data analysis: sql, python, excel, etc. Everything thoroughly explained. Just thank you again.

Great. I practiced data visualization on IBM's Cognos Analytics software. It's a great piece of software. I then learned how to make a presentation to present the results of the analysis.

I love its video and reading materials, thank you all for making such course, i can definitely make a career out of it, i just recommend you all to give you time in this course.

Excellent Course, each lesson has good pace and a good ration of theory and practice

This was a good project, but it could be so much better! The individual labs should be combined to reduce the redundancy and improve the flow of the data analysis. The checklist quizzes need to be updated as almost all of them contain outdated information that is not related to the preceding lab work. Finally, having the option to have an AI grade my project would have been greatly appreciated as I got trolled by the first reviewer of my project.

Complex course to understand at the beginning because some links do not work so you should go to the forums to get guidance on what to do. However, once the previous problems have been solved, the course leaves teaching on practical aspects. I do not recommend the course for a beginner as an advanced level of understanding of the concepts is required to be able to apply them fluently. 6/10.

There are many errors in this course. I even had to guess one of the multiple choice tests because the previous section this test was based was officialle under maintenance.

Also there are several spelling mistakes in the material.

Badly designed practical assignments, many inconsistencies, lots of frustration, admins rarely reply in the discussion forum and their replies are rarely helpful.

the modules are poorly related to each other

THE COURSE is a great course and very practical and enrishing too. i sincerely wish IBM and coursera could just do a short video directing newbies like me, on how to set up the ibm cloud pak as well as use the watson studio to do the labs in the first course most especially for week 1 of the first couse in the ibm data analyst certificates. this will help newbies to understand what they are doing because frankly speeking a whole lot of newbies are stuck and it can be frustarating.

Absolutely horrible course as half of the information in this course is not updated, links don't work and you just have to waste time for searching in forum instead of actual studying! NOT RECCOMENDED!

The course was designed poorly. The labs' tasks are duplicated. The tasks sometimes make us confused. There are almost no instructions. The quiz and the lab are not relevant.

IT IS VERY HARD WITH LESS INFORMATION

What a course! It was quite challenging, especially when managing 65,000 entries and multiple-choice responses, but truly enriching for significantly improving skills in data wrangling and visualization. The repetition of labs and tasks helped me develop a logical and solid approach to data analysis, and finally master some 'code snippets' that had been giving me trouble. Thanks IBM Team !

Great content especially for beginners. This course introduced me to concepts I thought I knew. I am so glad that I took this course. I can now do dashboards with ease using tools such as excel, dash and IBM Cognos Analytics. I also enjoyed API's and WebScrapping. Retriving data from the internet or website used to be a lot of manual work, but now my work performance has improved!

"Excited to share that I've successfully completed the IBM Data Analyst course! 🚀 Grateful for the invaluable skills acquired, empowering me to navigate complex datasets and derive actionable insights. Ready to apply my knowledge to drive data-driven success. Here's to continuous learning and growth! 📊🎓 #DataAnalyst #IBMDataAnalyst #SkillsAcquired #DataDrivenSuccess"

The Capstone Project walks me through the whole process of a doing real project, and the final presentation requires actual writing up a report. This last piece is a bit exhausting but it's worth it. Highly recommend.

The course was conducted in a patient and professional manner. The information was challenging and accessible. A great product with a course that barely scratches the surface of all the programming present.

Worth every penny.

Happy Learning. Excellent hands on lab interface and tools provided by IBM.

Thanks a lot to everybody who is part of the course design and syllabus.

Cheers :-)

A good beginner friendly course in data analysis. Using the jupyter notebook was easier than going over to some websites to open the same jupyter notebook.

Everything went quite well but instructions provided didn't help me at all. Had to take help from outside sources to complete this.

Course was excellent! Enjoyed the final project and being able to work with authentic data that helps understand IT career trends.