Opiniones y comentarios de aprendices correspondientes a Databases and SQL for Data Science with Python por parte de IBM
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Principales reseñas
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!
1676 - 1700 de 1,745 revisiones para Databases and SQL for Data Science with Python
por Gopendra M
•DB2 is out of the marketing not many people want to learn it, maybe it's time to upgrade it to something latest
por Christophe D
•The use of IBM cloud was really frustrating as it was very slow and didn't work most of the time.
por WenQiang H
•As a serial course in the "specialization", it's too simple, just made the learning path longer.
por Magdalena R
•The content is adequate but I found it a bit boring. The classes did not keep my interest.
por jmaritz328
•Needs to have a lot of work done on the Peer graded assignment department of the course
por Ibrahim A
•Please review this course assets! especially IBM DB2 cloud service's availability !!!
por Alexander W C
•The IBM service tutorial was hard to follow. Layout of the application has changed.
por Xinxin Z
•The cloud system has so many problems which will prevent us to submit our works.
por Shuang.W
•so many stuff are out of dates and some instructions were very unclear.
por Tanner L C
•Very poorly done. Not enough information on working in the cloud.
por Chitralekha T
•The assisgnment is poorly worded and working in DB2 is a pain
por Oleg S
•every material in course not match interface of the programs
por Nitika K
•Not suitable for non computers background students.
por Ray Y
•WHY FORCE ME USE THE IBM CLOUD? SO COMPLICATED
por abdelkarim b
•The IBM tools are so unfriendly to new users
por Abhilash L
•Last few lessons are not clearly explained.
por Lucreziamaria C
•There are so much errors in notebooks!
por Roderick W
•The voice-over makes me wanna sleep.
por Long N K H
•The Lab env sometimes has trouble.
por Ashwin D
•Expected more from an IBM course.
por Bharat B B
•needed to update many topics
por Fei C
•hard to use sql server
por Usman R M
•not well designed
por mohammad s
•very simple
por Hakki K
•Hi,
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.
(*): https://www.coursera.org/professional-certificates/ibm-data-science?utm_source=gg&utm_medium=sem&campaignid=1876641588&utm_content=10-IBM-Data-Science-US&adgroupid=70740725700&device=c&keyword=ibm%20data%20science%20professional%20certificate%20coursera&matchtype=b&network=g&devicemodel=&adpostion=&creativeid=347453133242&hide_mobile_promo&gclid=Cj0KCQjw0Mb3BRCaARIsAPSNGpWPrZDik6-Ne30To7vg20jGReHOKi4AbvstRfSbFxqA-6ZMrPn1gDAaAiMGEALw_wcB
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