A Crash Course in Data Science

Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.

This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.

Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.

fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science

This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.

It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,

Provided a good, very high level overview. I audited so I didn't take the quizzes, but the questions were all on the general side. I liked how they used some examples of real-life research.

Well it got the objective right which is only a crash course in data science for beginners, but I think the team could make a more engaging and practical videos with more of real life cases

Great to do if, you want to dive into data science or machine learning. It is a must do, if you have no idea of the rationale behind statistics and data science as well as the need for it.

This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself. Overall, this was a good course for beginners.

This course is a really good starting point for people new to the field of data science. I come from a data warehousing and historical analysis background and I found this course useful.

I think the course design was really excellent. Though he seems like he is a nice, intelligent person, I found it hard to relate to Brian Caffo. His delivery was quite dull, and boring.

It would be good to be able to complete the quizzes even if you are not paying for the certificate, this would enable people to understand how much they have taken away from the class.

Great introduction. What I found interesting is being able to reflect on projects I have been on relating to data analysis and seeing the steps, benefits and pitfalls explained for me.

I enjoyed this class very much. It was concise, precise, and digestible. Not to mention the instructors kept it lively though out the course. Thank you for such an informative course.

This course is good starter for anyone wanting to understand data science projects, be it if you are trying to pursue a career in data science or trying to understand overall picture.

Very nicely packaged, concise course for the one who themselves may not handle the data but have a need to understand what is going on around them and how to make team more effective

It's a good starting point. I've now got a good idea of what else I need to learn. The course also provides an easy to apply approach to get value from my efforts using data science.

Thanks folks! This was a fun course to do. Although I had a reasonable idea about the topics covered, it did a good job consolidating everything into something that is applicable to

I really liked the content , the difference between machine learning and statistical modelling was nicely explained.I also like the topic hype from value and it was well explained.