Quality Score
Overall Score : 84 / 100
Course Description
Instructor Details
- 4.2 Rating
492 Reviews
Natasha Balac
CoursesCode Free Data ScienceHadoop Platform and Application Framework
More courses by Natasha Balac
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Reviews
By Rodolfo B C on 20-Oct-19
I think that the course needs more activities like configurations and practices
By Eloualid B on 13-Oct-19
Thanks a lot for this making this course, it explains a lot of things of Hadoop.
By Davide C on 8-Oct-19
The course presents a general introduction to Hadoop world, but some explanations aren' t clear.I appreciated links and references proposed to study other (ex. Python), and section quiz.Are there problems with guides of Cloudera, but can be solved searching on the web (thank you Stackoverflow).FInally, I didn't like sections presents by the Indian professor, because he "ate the words" and without underline text a lot of phrases were incomprehensible
By Omar R on 25-Sep-19
This course gives a nice introduction to Hadoop basics. Unfortunatly, i faced many issues to work with cloudera VM and some commands in tutorials are obsolete. Thank you very much for your efforts.
By Ryan H on 24-Aug-19
The instructor in week 2 makes me want to kill myself. There are people who can teach, there are people who can't teach, and there is this guy who absolutely cannot be allowed to teach due to safety reasons.
By Shubham A G on 19-Aug-19
Programming assignments were a bit too easy. The course content could use some more depth and assignments a bit more complexity.
By German S on 7-Aug-19
I enjoyed this course, it includes the architecture, applications and some basic programming examples using Hadoop platform, which is useful to roughly understand some basics of Big Data and distributed computation
By Chan K K on 4-Jul-19
The course teaches the most important aspects of Hadoop Platform, especially the MapReduce and Spark programming framework in a consise way.However, students without technical backgrouds may found it hard to complete the programming assignment with Python and in Linux VM evnironment.
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