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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.

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.

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.

Course is well structured, moving on with the lessons is a build up of techniques and concepts. Delivery of the course material is well paced and gives all the required information to grasp the concepts.

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.

Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.

The lessons are well designed and clearly conveyed.

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.

- 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

Excelente curso, conte煤do f谩cil de entender e realmente desafiador. Recomendo para quem quer entender como 茅 realizado a extra莽茫o e an谩lise de dados n茫o estruturados.

Comprehensive and clear explanation of theory and interlinks of the up-to-date tools, languages, tendencies. Kudos and thanks to Bill Howe.

Highly recommended.

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

This is a quite wonderful course for large-scale data science. I believe I will have learned a lot via completing the courses.

Engaging problemset makes sure that you will get your hands dirty with data. And that is great! Definitely worth your time.

Very good introduction to the topic; requires quite an effort to complete the assignments, but the outcome is worth it.

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

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A very good introduction to skills needed for applying data science ideas on large scale data problems.

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

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

But I learned so much from this course.

One of the best Data Science course I've ever taken anywhere. One should definitely go for it.

Very good course for understanding the underlying logic behind emerging big data technologies

It's excellent. Important: Python Dev knowledge is a plus to complete the assignments.

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

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

If you want to head into Data Science, this is a nice course that will help you.