This course is great for a newbie Data Scientist....Help a lot to grab all Data Science terminology...It would be better if question asked are updated everytime,,,

The course offers a solid overview of data science. If you have little to no familiarity with the field, I recommend taking a few hours to go through the course.

The crash course was easy to understand. The classes used good examples to give you visual details about the subject and the instructors were clear and precise.

A good intro on Data Science for those who have to work with data teams. You'll get to learn what all the buzzwords mean and separate real work from the hype.

Easy to follow without the jardon. Recommendation for those interested in statistics, Biostats, and looking to cost effectively learn or enhance skill sets.

Sometimes the workload limits the time for learning in reduced times. It would be good to have longer time margins to complete this type of academic program.

I would have liked a bit more detail and some more examples from business perspective. But I am sure there will be a more advanced course that I could take.

Very good introduction to the topic and also clarifies some terms that are in the air and end up misleading. like inference prediction and machine learning.

The Crash Course in Data Science gives you an overview of their Data Science Specialization. It is good for those who want to pursue to learn Data Science.

Very crash course that gives you a taste about the different aspects of data science and makes you want to dive in the specialization program right away!

Course Material is good however I felt trainer is not very much engaging with the audience. There is not liveliness in the way the videos are projected.

An excellent brief introduction to Data Science. However, I wouldn't have minded if the course were moderately longer with more relevant key concepts.

As the title of the course says, it's a Crash Course.

Quick, simple, effective in giving you the very basic terminologies, use cases of Data Sciences.

Good introductory course. A bit dry with no interaction with other students (the forums were not popular and there were no peer-graded assignments).

All good apart from the video explanation of "Software" which came across as a bit all over the place. Likely to cause more confusion than answers.

I really enjoyed stuying this class. The content is very relavant and practical. I wish it could have shown more examples on the toolbox section.

A good general overview that can be finished pretty quickly. There are some terms thrown around that might throw you if you get hung up on them.

Great course for managers that what to start understanding the most relevant concepts about the data science area and how to apply it in practice.

This course gave a very nice overview if the subject and role-players. I am looking forward to doing the rest of the Modules/Courses. Thank you.

Good starting course. Some of areas could have been explained little more easier way for sake of people who are not so well versed in statistics.

The course give a overview about data science and its different aspects. A very good course for someone who wants to start learning data science.

Some of the lectures/rers were better than others, but on the whole I got what I wanted from the course. 5-6 hours' investment, so not too much.

I enjoyed the course - the right level of detail for the proposed audience. I think the statistics vs Machine Learning wasn't totally relevant.

Course structure can improve, eg. have it split by week (investment 0.5-1 hour a week?), have pre-reads instead of articles within the quizzes.

Some questions confusing (with less than 5 so missing 1 was a fail) and a few videos were lacking written summaries. Other than that not bad