Avis et commentaires pour l'étudiant pour Data Manipulation at Scale: Systems and Algorithms par Université de Washington

Assignments need to be updated, but the material is solid!

Thanks for this course.True Parallel computing example would have made it even more awesome .

Very wide and fundamentally robust introduction.

The assignments are really what make this course stand out.

הקורס נותן חשיפה טובה לכלי העבודה העדכניים. המשימות אינן פשוטות למשתמש המתחיל ודורשות התעמקות אך בהחלט אפשריות

great exercises and assignments. The course is involving.

good for people who have some experience in python and SQL

Very relevant if you want to understand the theories behind data systems and algorithms. I consider it a bit time consuming but completely worth taking into consideration the amount of topics it covers.

100% Recomendado

The course is very coherent and comprehensive. It covers only important aspects of the fields. Also, the exercises are very well prepared.

Awesome content.

While I haven't been able to keep up and submit most assignments, the material seems highly relevant and good to know. The videos are helpful and assignments provide good practice.

Note: I am currently a software engineer and have an undergrad degree in Industrial Engineering (so I have some exposure to the concepts in the course).

great course! ... congratulations.

Interesting course, good hands-on exercises. very useful course to practice python

Going through the content really scares someone like me. At the same time, i feel that the challenge in doing the assignments will only help me improve well. I would suggest beginners to stay away and get a hold of the basics before jumping into the course.

This is a great course

The contents were very relevant and more geared to those with some experience already. The assignments are worth doing. The only problem is that some of the assignments have errors which are only listed in pinned posts in the forum (with a link to a ticket but nothing's been done about it). Still, learned a lot so the on the whole would recommend it.

Good! I like the final (optional) project on running on a large dataset through EC2. The lectures aren't as polished and compact as they could be but certainly a very valuable course.

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

4.5 because it was very difficult to access the optional assignments and there was effort expended on reformatting them since the last offering of the course. Otherwise it's an excellent course and I've already been recommending it.

Great course!

Great work, very satisfied!!

Great course. Very helpful!

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

This class assumes intermediate-advanced experience coding in Python, so if you are new, you are likely to struggle a lot. The SQL part, however, was taught from a base-level understanding of almost 0 and is much easier for a beginner.