This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)
Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.
por Gaurav D
•The notebooks linked to the course aren't available all the time
por Marianne H
•Course was ok but final assignment left a lot to be desired.
por Ahmad S
•no enough information in this course. I dont recommend it
por Ashish D
•The videos are boring and but they are very informative
por Ashwin D
•Expected more from an IBM professional certificate.
por Toan N
•It's too general and difficult for me to absorb.
por Nguyễn T
•Too much theory there.
Assignment was useless.
por saira r
•Poorly designed course on a conceptual level.
por Hossein M
•Descriptions are too short and not in-depth.
por Sivaram D
•The mechanically voiced videos are not good.
por Chiara P M
•a bit boring but overall a useful overview
por Hellman O
•The course is very basic and boring.
por Tolani B
•the presentation is a bit robotic
por Wayne W M
•Found it challenging to follow
por Angene B
•Find it to be a bit boring.
por Apurv G
•Very Theoretical course.
por Prayag P
•Not very explanatory !
por Tobias W
•Way too theoretical.
por Adarsh S
•Boring
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
por DD
•In this course they will present you a Moron: John Rollins. They will present its methodology because he said so, "data science needs a methodology", even if it's the same methodology that statisticians and whoever works with data utilize since the beginning of time (just add Python and SQL), just presented in a redundant manner so that it seems new, well divided in useless general sections where you learn nothing. Just open a book related to applied marketing research and you will see how much has been stolen. Goddamn! Give my money back. And these are the people that work for IBM? These are the people that should teach you something? I don't know, maybe this is what US education looks like and it's really shitty, you get what you pay for and considering you are not taking a mortgage on your house, it's not worthwhile. In short, this course and all the previous ones are for first graders and no one employs first graders. Save your money!
por Jakub M
•Listen - I am the last person to give something a one-star review. Especially on Coursera where all the courses I did were very good at least. This debacle of a course is my first disappointment with a content offered by this platform.
You can see the drastic drop in quality between the first course in the certificate and this one. Poor videos which offered very little value - I felt like I was sitting on a corporate meeting and listening to a boring PowerPoint presentation.
The whole model is not very helpful to understand those things. Cooking metaphor is not very helpful as it feels very forced. The model has far too many stages to actually be useful for grasping the concepts - especially because the stages are very intertwined.
Poor-quality videos which look like a low-effort PP presentation, boring and monotone voice. Remove this from the certificate or improve this.
por Niall B
•The resources for this course could be improved - the Skills Lab environment is not performant and there have been problems with the associated links. The Watson video needs updating to reflect the significant changes IBM have made to the interface. I found the use-case to be jargon-heavy. The overall delivery of content is extremely dry and could be made more engaging. Overall, a disappointing course. I am doing the specialisation in order and frankly I would give all 3 of the modules I've completed a very low rating - the presentation of material is outdated and the resources woeful. I expected more from IBM.
por jason M
•Did not find this course very helpful. Too much priority on the case study in favor of diving through each of the steps in the methodology first.
I would recommending restructuring course to more holistically define each step in the methedology and save the case study for the final 'week' before the assignment.
I found the below link through a google search, and reviewing this was more helpful than the time i spent in the course.
https://www.ibmbigdatahub.com/blog/why-we-need-methodology-data-science
por Dilichukwu M
•I would give this course a 1 star because I did learn something. However, the teacher is extremely non engaging and his case study's do not make sense. The course was extremely painful to watch and very boring. He should put more reading materials and find another person to do the voiceover because I was falling asleep!