good

Good

Good

wow

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g

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For someone who has no clue on Data Science it's a great overview and it gives you a sense of the field in general. I have not acquired a deep knowledge on the field, not even on the basics, just a vague summary of what it has to do with. So I suppose the title is fulfilled, as a crash course. However there are some points where I was pretty disappointed. First of all, some of the lecturers always seemed to read a script, which did not help pass down the knowledge at all. They did not give me the sense of what they were talking about and they seemed lost at some points. I had to watch with subtitles (in english) to understand the meaning of their saying. There was a lot of terminology as well... When you give a crash course, it generally means that you address an audience that has little background on the matter. A brief introduction to the terms would be really helpful. In general I think it has good potential for a short course, should the feedback be taken in serious consideration. However thank you for the opportunity.

Very useful overview course with an analytical lens. Brief summaries are excellent and serve to quickly give you the gist of the field.

The course reference book available for free download is a great asset. However, some chapters appear to be a speech to text product from the videos. There are typos and some chapters not well articulated as a written reference book. You can tell that the course is a bit dated by now (probably published around 2014). Since course has not been updated or corrections made to ensure some hyperlinks are still active, I don't give a full score . Overall it was still a great learning experience and I intend to continue with the next course in the Executive Data Science Specialization.

This course has helped me to figure out what it takes to become a Data Scientist, the tools that you might need, the core values of the project and the fundamentals of Data Science. To be honest, it's not easy to dive in into Data Science without proper knowledge or guidance but with this course, you will at least know what is needed to understand more about data science, the required tools to excel the task, the structure of a good data science project, the programming language you need to know and many more. I would recommend this course for beginner who has absolute zero knowledge about data science but wanted to explore and curious on what's data science is all about.

A high level introduction.

Potentially tying it with some business concepts may be would have made it a bit more useful. While there are some great examples for funded research projects in the medical field, it doesn't quite go into use of data science in gaining business results; One example would be defining success module, where I found myself making a decision tree myself to reflect what those three criteria would translate to in business outcome terms.

Good course still overall. It is free after all so I can understand how may be more in depth conversations could be reserved for later parts of the programs.