One more thing to add. The link to Study.com works. But Study.com wouldn't let me watch the whole video anyway; it requires registering and subscribing (after trial period is over). Not useful.

It was kind of hard to understand as I did not have any professional experience in data science. But, I am sure I can work in a professional environment now with the teachings of the professor.

Gives directions on how to deal with a situation where a clear conclusion may not be forthcoming from the analysis--- a situation that more often than not is likely to hold true in real world

This course is very interesting and worthwhile. we are living with data in our real life. good lectures. thanks to all team.

Dr DVNS MURTHY, DIRECTOR, BADRUKA COLLEGE, KACHIGUDA, HYDERABAD.

The course was very interesting and complete. The lectures were interesting as well. The reading material could be improved by adding more articles to reinforce the theory and examples.

Helpful ideas to consider and use when managing a team of data scientists, especially helpful are the principles for dealing with on-the-ground data science work (vs ideal environments)

Slightly difficult for non data science background people, but is manageable to have a dip into this course and stimulate a "real life" experiences shared by course insructor.

Dr.Caffo is really well-versed with his field but I feel like concepts should be given more concrete examples so that they seem more interesting. Respect him all the way!

Examples used in this course are related to Lifescience and candidates like me find it difficult to correlate. It would be beneficial to use some common life examples.

Is good to have some data science background to enroll in this course, overall still good to learn and get the hint of how real life data scientist life is.

Good course - I'm now confident to oversee an end-to-end data science experiment. Some interactivity would make this the perfect overview of data science.

I like that this course examples the many ways an experiment/analysis can go wrong and how to address these issues. Very practical for the practitioner.

Many real life examples but in the courses the instructor introduced some new concepts which could be useful if get into more details of them.

Again a course with depth in content but the presentation of the course could improve , it seems a bit patchy and pre-reads would help.

A very well crafted course, with apt messaging and good assessments. Was able to learn a lot about the nuances of Data Science

Materials and lectures were really helpful. Would like to have seen a bit more on prediction analysis in real life.

Good concepts - apply to anyone new to data science.

Lot of good 'read further' links and materials. Learnt a lot.

Content is rich, seem like so small but detailed and require good concentration to enjoy the quizes with ease

Great from an overview perspective. Certainly learnt the overall basics as I was hoping to be able to.

Great examples and explanations of real cases, very helpful for general understanding of concepts.

Very nice overview of what can go wrong in a data science project and what to pay attention to.

A very good and interesting course that gives you a good stepping stone regarding Data Science

Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.

Gives enough understanding of data science in related fields, but course is complicaed enough

A bit difficult to understand compared with other course of the specialization, but useful