I learned a good deal from the course. I am satisfied with the content of the course.

The problem I encountered with this course is on the grading of the final project. The format is by using peer-review. But you need to have 3-peers to review your submission. I submitted my 3 weeks ahead of the final deadline of submission but still it was not reviewed by 3 peers. So there was no score on my final project. That does not seem fair.

This is not a Python introduction, but the authors approach it as if it were. Even the most basic data scientist will not calculate averages in the way described here. We'd use pandas or similar to get not just means, but other summary stats as well. For a Python course, I could understand doing it the way shown here. But not for data science.

The course is easy to follow, well organized, and assumes very little background. It effectively demonstrates the power of Python in large data applications and provides insights and guidance on which tools are best used.

This course is more rewarding than I thought. The instructors give step by step explanation of the process also the syllabus of the course is just perfect, Highly recommended.

Goes into great detail on ways to actually use the code in sophisticated and useful ways. I feel like this course has started me on building a great python toolkit.

Great course for an absolute beginner!

Great!

Overall, a good course, clear presentation and explanations.

Some minor things: In my opinion the questions are sometimes not very clear. Rating of the projects can take several days.

A really good course to learn data preprocessing before implementing the machine learning module.

Pretty easy to start with, especially with a background in CS.

Good course.

all of the data sets either no longer exist or are out of data

This course enables students to learn intermediate level skills in data wrangling, data exploration, and visualization. The final project requires selecting a topic of personal interest and constructing a complete project work flow. By doing this, areas of weakness in data wrangling, cleaning/QA, data exploration, and visualization may to uncovered and addressed. The result is to build greater skills and confidence.

This is definitely one of the better courses I've done. Its part of a specialization I belive and I'm about to try move to the next one. Its defnitely slightly deeper than just a beginners course but there are so many beginners courses on coursera that its nice to have something a bit more meatier. The presentation skills are excellent and I really enjoyed doing the course.

This course was very practical. I really appreciate the idea of the final project. Especially I like the web scraping project

It was a good Data Visualization course. I really liked it. It's a good beginner course to start with Data Visualization.

Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.

Curso excelente. Las tareas y exámenes se ajustan perfectamente al material que se imparte.

Really nice. Learnt a lot ! Thanks to the faculties and UC San Diego.

Great course to start with programming for business analytics.