워싱턴 대학교의 Data Manipulation at Scale: Systems and Algorithms 학습자 리뷰 및 피드백

This is a great course

Excellent overview of the Big Data field and its relation to eScience.

Great course. Very helpful!

A great course. I would just like more assignments and more information about spark.

Very good and informative course for data scientists and data engineers

Lectures are great and well structured. Programming assignments are just amazing and interesting. Great course!

I learned so much from this course. In particular, I've got a much more solid grasp of SQL (even though I've been using it for 30 years), and much more clarity about "map/reduce". The lectures are clear, delivery is excellent, and the assignments are interesting.

- great and very useful overview of concepts important in big data that does not get bogged down in random details

- interesting and sufficiently challenging assignments

For me, a really nice combination of

1. a theoretical overview of database and data processing concepts, MapReduce and the most important implementations of the various concepts (SQL and NoSQL databases),

2. practical application of these concepts in real-world programming exercises.

I like the way Bill explains, and I like the exercises - however, to complete those, you need to be ready to learn the technology on your own, the lectures are NOT about learning the technology (Python programming etc.) to do the exercises. For me, that's fine, but for people who have little or no programming experience it might be frustrating.

So, if you like the combined approach of this course, I can really recommend it!

Amazing Course!

Overall, this was an excellent introductory course. The instructor presented the material in a very clear manner and introduced all topics using applied examples. The weekly assignments were aligned with the course content as well, allowing me to apply the knowledge learned in each lesson.

A great way to start, and become familiar with the nature, requirements & analytics of today's data.

Excelente curso, conteúdo fácil de entender e realmente desafiador. Recomendo para quem quer entender como é realizado a extração e análise de dados não estruturados.

Hard but awesome

Very very very tough for me. took me 3 months to finish.

But I learned so much from this course.

Great for students.

learnt a lot

The lecture covers a broad range of materials, from complexity of algorithm to map reduced formulation. The assignments are challenging and up to date. However, I would prefer the lecture to be more technical and coherent.

Love the the concept of "learning abstraction rather than tool".

I enjoyed this course and found it challenging. Good job!

The power-point used has a lot of mistakes corrected live by the speaker.

The speaker speech is sometime slow and not precise, it probably has been recorded only once.

Apart from that the content covers the subject and the assignments are relevant and fun.

It gives good information, but frankly covers way too many tools at the end, and the explanations are good but somewhat rushed. Some parts were a little boring, as no immediate practical use seemed on the horizon.

It is a comprehensive course for learning quite up-to-date technology and concept.

There are some inconsistencies in the course or the arrangement of the videos, maybe due to technical problems.

For improvement I would really wish to have some substantial results, especially in the last week of the course. That is, I would prefer to discuss at least something in depth rather than everything broadly.

Very good course, but lectures could be more tuned onto the home assignments. A lot of independent work for me at least. Teacher is very good.