교육 기관: Minh Q N•
교육 기관: ENUONYE D J•
교육 기관: Tatiana P•
This course seemed very detached from the rest of the Data Engineering courses.
Very advanced info on a very advanced topic presented in a superficial and rushed manner.
Final project with many technical issues in the necessary Jupyter Labs, which I don't see reseaonably debugged by the person taking the course (also, why should they?).
Very happy with the rest of the Data Engineering offering so far (I completed 11 out of 13).
Very disappointed with this one.
교육 기관: David S S•
I can't rate higher this course due to the problems with the final project... I hope all the errors could be fixed for future students because the course is excellent and the exercise is great to practice all the knowledge acquire but it has a lot of bugs.
교육 기관: Natale F•
The Data Engineer part is too fast. The final assessment focuses on the implementation of Machine Learning algorithms with Spark, there is no Data Engineer code production required.
교육 기관: Sheraz M•
The final assignmnet instructions are not very clear and also there are some coding msiatkes that lead you to unexpected results.
교육 기관: Pawel D•
This course is misunderstanding. The lab environment is not working since months. Running lab notebooks locally require a lot of hacking to make it work. The course is assuming knowledge re/ Machine Learning and data wrangling, The spark is explained superficially and not much use. Free online tutorials are better and clearer.
교육 기관: Dmitry K•
Peer project has tasks which has never been though or referenced. Part of the labs are failng with lack of resources and git has some obsolete code.
교육 기관: Cristina M M•
The theory and practice of this course are not at the same level. Yo need to learn some statistics and ML theorical concepts previously.
Labs cannot be do it only with the explanations of the videos.... The final project shouldn't be the place where you see a decision tree.
Also, there is a some commands that work in a bad way in the labs. I think the course need a complete revision, keeping in mind that a lot of learners do the course as part of a certification and had no experience with ML and a only a little with spark.
교육 기관: Omar H•
It offers very little information, The labs are not well explained, this course doesn't add any value for the specialization.
교육 기관: James N•
Assignments remain offline for more than a week. No refunds offered, no staff responses