Good overview of the reality of the challenges in data science. A glaring miss from my perspective was any real focus on the challenges of ML/AI based analysis. This module was really focused on traditional statistical modeling

I really enjoyed the comparison of what is ideal vs. what actually happens when it comes to data science. This was a very practical course and gave insight into what to expect from data science and analysis.

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.

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.

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.

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

Good concepts - apply to anyone new to data science.

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

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.

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

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

Appreciated the anecdotes as they allowed me to remember the learnings in context

Good for the start but need more insight explanations with hands-on practicals

Practical approach and gotchas to consider for doing data science in real life

good course, but focus more on inferential analysis than predictive analysis

Help me understand what can I expect from a real data science project.

Quality of this course is better than the rest of the specialization.