Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
автор: WenQiang H•
As a serial course in the "specialization", it's too simple, just made the learning path longer.
автор: Magdalena R•
The content is adequate but I found it a bit boring. The classes did not keep my interest.
Needs to have a lot of work done on the Peer graded assignment department of the course
автор: Ibrahim A•
Please review this course assets! especially IBM DB2 cloud service's availability !!!
автор: Alexander W C•
The IBM service tutorial was hard to follow. Layout of the application has changed.
автор: Xinxin Z•
The cloud system has so many problems which will prevent us to submit our works.
so many stuff are out of dates and some instructions were very unclear.
автор: Tanner L C•
Very poorly done. Not enough information on working in the cloud.
автор: Chitralekha T•
The assisgnment is poorly worded and working in DB2 is a pain
автор: Oleg S•
every material in course not match interface of the programs
автор: Nitika K•
Not suitable for non computers background students.
автор: Ray Y•
WHY FORCE ME USE THE IBM CLOUD? SO COMPLICATED
автор: abdelkarim b•
The IBM tools are so unfriendly to new users
автор: Abhilash L•
Last few lessons are not clearly explained.
автор: Lucreziamaria C•
There are so much errors in notebooks!
автор: Roderick W•
The voice-over makes me wanna sleep.
автор: Long N K H•
The Lab env sometimes has trouble.
автор: Ashwin D•
Expected more from an IBM course.
автор: Bharat B B•
needed to update many topics
автор: Fei C•
hard to use sql server
автор: Usman R M•
not well designed
автор: mohammad s•
автор: Hakki K•
I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".
Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)
Course 1: approximately 9 hours to complete
Course 2: approximately 16 hours to complete
Course 3: approximately 9 hours to complete
Course 4: approximately 22 hours to complete
Course 5: approximately 14 hours to complete
Course 6: approximately 16 hours to complete
Course 7: approximately 16 hours to complete
Course 8: approximately 20 hours to complete
Course 9: approximately 47 hours to complete
This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.
автор: Yogesh R•
Lab are the most frustrating. these are the place from where we as student get hands on experience but these instruction and IBM software platform doesn't work smoothly. We had to work on IBM based software platform such as IBN database(Ibm db2), Watson studio. I had issue in ibm bd2 software platforms loading tables and creating new credentials and could not fix that issue for several days finally gave up IBM Data Science course in "Databases and SQL for Data Science with Python". Not recommended, hope you don't get frustrated at the middle of the course
автор: Zach E•
all the proprietory IBM Watson and cloud services stuff just distracts from the meat of what I wanted out of the course series. It's not user friendly and required so many steps that had nothing to do with data it was far more frustrating than helpful. I hated every step of the first 5 courses. I'd really like my money back.