Good introduction to the data science field, although a bit heavy on the theory side.

A good overview of data science and terminologies. Few slides had some QA issues that

Covers the major areas of data science. Good segment on data science reality vs hype.

Very good course to understanding the nuances of Data science and various tools used.

Good information on the basics in data science - presented in understandable format.

Good for getting a quick summary of what Data Science is for those new to the field.

This course gives a brief idea about Data Science. It is helpful for the beginners.

The course was pretty useful to decide whether or not go for a full length course.

Yes. It is exactly what you can expect from a "A Crash Course in Data Science".

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Good overview course. Better for managerial folks than data engineers/scientists.

A good way to get introduced to the field of Data science and its broad spectrum

Small and sweet this only I can say for the course. Nice and productive content.

provides fair understanding of the basics of data science at learner's own pace

some of the content and videos were too wordy and had more theory v/s examples.

Good content. Some content necessitated previous knowledge, but overall solid.

The materials provided in this course are quite useful and easy to understand.

Information in this crash course is relevant and a good overview on the topic.

Gives good overview of data science. Maybe one example would have been better.

The material is of a good level, it is a good first introduction to the field.

Good introduction to basic concepts. I look forward to the remianing courses.

The course is amazing for beginners and gives a clear idea about data science

Good overview of data science field with some meaningful and well-Illustrated

It's a good course when you have a beginner level experience in data science.

A good course. Very basic, but that's to be expected for an overview course.

Great learning information for everyone who wants to delve into data science