I am currently studying Chemical Engineering. However, after going for industry training as a data analyst, I decided to venture more in this direction and I really learn a lot from this course.
I felt the course was the perfect introduction for someone like me that has been on the sales side of most software. I feel that it wasnt ovewhelming at all, and I mostly enjoyed the labs.
교육 기관: Domenic S•
I really enjoyed the Introduction to Data Engineering from IBM's Professional Certificate offering. As I continue with my academic pursuits, I will work at building my practical experience in the data science field. I will probably start out as a junior data analyst or programmer and from there, learn as much as I can about databases and data consumers to hopefully gain better insight into database administration.
교육 기관: Marta L•
Very useful insights into the basics of engineering, just enough to be able to navigate within more technical conversations as a project manager of any IT manager without tangible technical educational/professional background. However some videos were repeating topics several times, which was a bit boring on one side, on the other side helped to memorize the material.
교육 기관: Sandeep P•
This course is suitable for beginners who want to start on Data Engineering.The expertise insight on specific topics are useful for beginners who have enrolled for this course.IBM designed this course for Data Engineers who want to start the career into Data Engineering who have less or no experience in this field.
교육 기관: Jonathan P•
Right level of detail for an introductory course; I appreciated the repetition as this helped to solidify the learning. My only suggestion would be to have longer quizzes / more assignments, as these were very short; sometimes 2 or 3 questions whereas Id recommend 10-15.
교육 기관: fateme t•
I think more hands on experience is required. And the course was pretty short. But the fact that they repeated things several times was very helpful to stick into mind.
교육 기관: Vedant B•
I thought it would cover more technical things, but otherwise it was a great course and gave me vast knowledge about data engineering.
교육 기관: Camilo J•
content was great, but there were some technical issues such lab not working or coursera website links not working properly
교육 기관: Natsga•
Good to earn , im happy to learn easyinstraction and video great !.
keep earning .
교육 기관: Jorge C•
It's a good introduction material, you can't expect nothing more in a introduction course.
교육 기관: Ahmed B•
best for a all round starting course
교육 기관: Hopeton M•
loved the course
교육 기관: Sheraz M•
교육 기관: Nadia A H P•
교육 기관: Colleen O•
This is listed as a "Beginner" course, but I don't think so. They use terminology, and then don't explain what that terminology means in the moment...if at all. (e.g. API, Relational Database, NonRelational Database, Data Warehouse, Data Mart, Data Lake. Their explanation of Delimeter wasn't good). I have at least a dozen things I had to Google, and I marked them as such.
Things that don't need repeating or further explanation get exactly that...it's very odd.
Also, One of the Practice Quizzes contradicts the Graded Quiz re: whether XML format is used by APIs (I have a screenshot.)
Advice to the Creators:
It's October 2021. Nobody has the bandwidth, spoons, or patience anymore. Hell, we only have the Bones a few days a week, at most. (Pending confirmation from Noodle, of course). TL;DR as much as possible, and CLEARLY EXPLAIN the rest IN THE MOMENT, TO PEOPLE WHO ARE BEGINNERS TO TECH.
교육 기관: William W•
I thought this course was a pretty insightful introduction, but the process of provisioning a DB2 instance on IBM cloud was terrible. The instructions given were simple and straightforward, but my DB2 provisioning process kept failing, and when I went on Coursera's forums, I saw that many others were having this same problem. Eventually I followed some of their advice (that they had acquired through trial and error), and I did successfully provision a database. But when I went to the db's "manage" tab, there was no option to "Open Console."
This is a shame because it made it impossible to do some of the later labs, and honestly it did give me a bit of a negative impression of IBM's cloud services.
교육 기관: Der H•
The videos are very nice and give a good introduction into Data Engineering. Unfortunately, literally none of the hands-on exercises worked. In every single one the IBM cloud returned errors and I couldn't proceed. The tutors in the forum suggested to delete the DB and create it from scratch. I learned the basics of data engineering in this course and I learned that the IBM cloud is probably not an reasonable tool to use for it.
교육 기관: Mayank R•
A lot of content and time is about Data Engineering careers, etc. including quiz questions. These are good to know as a FYI but I don't think it should be included in course quizzes.
교육 기관: Richárd S•
The basic material would be good, but the presentation and quality is poor. No resources added, the IBM service (IBM cloud) you should use for lab assignments needs a credit card, which was no problem for me, but my account got deactivated for no reason, and I would say customer care is non existing at IBM as they don't give you any kind of information. I had the feeling who ever created this material is an expert on its field, but had not much to do with teaching.
교육 기관: Vishmi H R•
Giving 1 star because there is no notification before being charged for subscription. I have totally lost interest in completing anymore IBM courses on coursera for this reason. The subscription is not cheap.
교육 기관: Carlos v•
it repeat the same thing over and over.