por Minh Q N•
por ENUONYE D J•
por 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.
por 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.
por Sheraz M•
The final assignmnet instructions are not very clear and also there are some coding msiatkes that lead you to unexpected results.
por 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.
por 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.
por Omar H•
It offers very little information, The labs are not well explained, this course doesn't add any value for the specialization.
por James N•
Assignments remain offline for more than a week. No refunds offered, no staff responses