The course doesn't really develop an understanding of Data Management and Visualization outside of the context of SAS or Python syntax. Also there are a number of points throughout the course that would benefit from an update most particularly the initial documentation to get started with SAS. The LIBNAME in the downloadable PDF is incorrect and it took me a significant amount of effort to identify and resolve the error since I was unfamiliar with the process.

This course states that it is for people with no knowledge in SAS. I had to go online elsewhere to learn SAS before completing this course. There are free SAS tutorials on the SAS webpage - I highly recommend completing them before trying this course.

I came into this course after getting a rough idea about data analysis (from the IBM introduction courses), and this definitely adds on to the experience. The instructors make sure that the student is conceptually sound by the end of the course. Highly recommended.

I wanted to do the whole specialization this course is a part of, but the forums are inactive and questions go unanswered... You're also at the mercy of peer reviewers, who may grade unfairly if there are technical difficulties, and who may not grade you in a timely manner. (Or they don't submit their assignments so you can grade them in a timely manner.) The videos have WAY too much B-roll and not enough visual aids.

I am a beginning Python coder and took this class to expand my Python knowledge, and I have a science background so I understand a lot of the math going on here, but I don't think this course would be a good choice for anyone without familiarity with Python. Perhaps if I'd taken the SAS route with the intention of learning SAS I would've had a different experience.

This is a good course. I have done stats in the past so i was using this as a refresher but also to advance my python skills a bit more. I think you should take an introduction course to python first. you will get more out of the coding examples. I suggest the Intro to Python by the University of Toronto at Coursera. I found that to be an excellent course.

I find that in these lectures they do a great job in explaining the stats theory. They do not dwell to much into the science behind it but more the applicability. This is all good. You can simply do a little additional research and get the pure science behind of it all

Great course, teaching end-to-end on how to select data, "prep" it up, analyse data using SAS/Python and create custom visualizations. The project based course makes it more enjoyable as students can quickly apply the principles presented in each week's videos. The resources to learn Python and SAS may not be make you a "star" programmer (since this is not a programming course), but are more than adequate to get a newbie learn enough to process data and work effectively. Definitely recommend to anyone to get an excellent head-start on data analysis from a business and academic research perspective.

This is not a course for learning Python, and the coding is straightforward as you are given examples for everything. What this course does do is to give really well-presented, high quality lecture materials and (possibly uniquely) allow you to choose a research topic and matching data of your choice to use throughout the specialisation. For me, this is much more motivating than doing analysis on data you really don't care about, just for the sake of it.It's fun to read your fellow student's research blogs, also. Really looks like students on this course are from all over the world.

in fact this is a 4.5 star rating. The level was introductory. The peer assignments are not the best tactic. They can be an adding to other examinations to see how others treat the same problem. But in fact what you learn in that course are a must. If you are new to data science with little or not any knowledge of Python or SAS then this course is ideal for you. If you have already gotten acquainted with data analysis then this course is to support your skills and maybe you can find one or two new things.

My name is Jose Antonio. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Big Data and Visualisation and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

This is the best Course and Specialization I attended ever in my life. The way of presentation, the content(examples and detail) are really amazing. This is the course that any layman can understand. I would recommend to anyone who would like to understand and work on Data Analysis.

Hats-off to the Profs and team. You did a fabulous Job. Thank you!!

I have never used SAS. I have done minimal statistics and my major in university was Sociology, which I did 20 years ago. So needless to say, I don't remember much. This course was easy to understand and was structured in a way to build upon knowledge from one week to the next.

This class is well produced and suitable for people who might be a little intimidated by coding or statistics. It's definitely a great place to start, and with only a few hours a week and simple pointed assignments, it was a soft re entry for me into the academic world.

So far, course is one of the best I am taking. It moves at a slow enough pace that you feel you can actually learn explore but at the same time are not bored. The videos are well done and have the right balance of interesting content and skill building.

Being the first ever course I took seriously with, it was fun and a new experience. Liked it. The way of teaching, the unique grading technique used by coursera, the tutors were perfect and to sum it up it was much more than I expected.

Great course to learn the basics of Python and SAS programming.

I loved it. I would highly recommend this course for persons looking to learn python or SAS programming.

Thank you Coursera team for providing such a wonderful platform.

Excellent Course. Looking at data in a different way, using Python to explore what is behind. Good and clear explanations. I think that knowledge in programming is necessary, since there is non-trivial coding in this course.

Thank you so much for the course!

I liked the research project, it game me a lot of interesting knowledge. I thought in the beginning it is pretty easy course but the last assignment took me a while.

So far I found this course very nice , good real time examples with interactive sessions along with Exercises and assignments.

It seems my effort and time is going to get paid of soon. Thanks Team !!

This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.

This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.

Really smooth conduct of people in videos and excellent way of explaining things. Very excited to keep going to see what this specialization has to offer further. Thank you.

A fantastic course for beginners, and an extremely useful tool to learn! Recommended for anyone who wants to get started coding or increase their work skills

This was a great course for beginners in Python. I found all the videos to be detailed and helpful in understanding the code and programming in Python

I think the course is wonderful for beginners. For somebody trying to learn this on her own, I found this course extremely helpful and easy to grasp.

Excellent introduction to SAS no matter what your field of research. Videos are clear and easy to follow. Looking forward to doing the next course.