It was a fine overview. I think the suggested text was also okay, but for a $10 suggested price, I would say that there should either be a reading assignment or it should be made more clear that the text is optional.

I wish I could listen to the professors' actual voices, because doing so in a more natural way would help me avoid tuning out from the lessons from time to time. But I fully understand why they are doing it this way.

OK introductory course to the tools used by data scientists, however it's a bit odd this is a standalone course; IMO the course content isn't enough and should be combined with the next course in this specialization.

The class definitely eased a new learner who is unfamiliar with the concepts and skills. There are areas in this class that seemed outdated an made the class a bit confusing. Hopefully, those can be update in time.

This introductory course is a good overview, goes pretty quickly through the basics, and gets you prepped for delving deeper in the subject matter. Planning to sign up for the next course in this certificate program.

I have really enjoyed undertaking this course, and found the modules and resources informative and easily accessible.

I would highly recommend this course to others starting their journey in data science.

Thank you.

This course was fantastic, I just wish that there was more interactive work within the lesson's versus only in the final project. I believe that would help the material set in faster and better. Overall good course.

Interesting and quite understandable course! However, I would like to see some examples additional with the theory, especially for all the participants like me who cannot contact a professor for some clarification.

The content of the course was well-structured and useful. But unfortunately I could not use the videos very well. The robot voice was so annoying. I think the human voice is more soulful, pleasant and encouraging.

It was very exciting taking this class because i learnt about the conceptual ideas of data scince wich was my goal and the fact that i started using some data science tools also helped in understanding the issue

I think it's a great course, but because it's the course on tools for a data scientist, it would be a more effective approach if it contained more information about many other tools used by those professionals.

Good introductory course. Learnt a more structured approach to categorising statistical methods. Much of the rest of the content was a bit basic, though probably useful to fill in any knowledge gaps pre-course.

This was a very good overview of what a data scientist needs. The information was presented clearly and it was very helpful to do projects along with the seminars to start learning R, R Studio, and R Markdown.

Author was speaking to quickly, its was every difficult to understand for me as non-native English speakers. An other thing that i notice is that the error message was completely misleading. Should be improved

It is very clear and useful course. It holds one hand to go sure through the contents. Anyway, I would suggest to end at certain point doing something simple in R, to give an end to this chapter in this story.

In this course you would learn some basic knowledge about R language, GitHub and how to use them. It is just a startup course. If you want to learn how to program in R, you should go further and learn deeper.

I felt something in detail was required for GitHub and RStudio. There were repetitive questions asked. Those can be removed and only one question should be asked with repeating it in any of the questionnaire.

Simple and easy, but also essential information. This was a great course for beginners using R, R Studio, Git, GitHub, and for anyone who wants an introduction to data science, programming, and data analysis.

This course gave me a great headstart to step into the field of data science with more confidence. The lectures are very well created, scripted, and delivered using the Amazon Poly.

Overall a great experience.

Very good pace, sequencing, and mix of lecture and practice. Only suggestion is a bit more time on the "Add", "Commit", which appears to be a very core element of file handling/version management with GitHub.

Main issue was that Git transitioned to a private access token system that was not incorporated into the lessons. Luckily, there were plenty of resources available online to troubleshoot. Great introduction.

I used 7 days free trail first and then purchased it, then I found almost all the videos and works in free trail version are different from purchased version, can't understand why the institution did that.

The first week's quiz is really difficult and I had to go through the lecture material several times. Because of the great number of very short lectures it is difficult to find an asnwer to sought question.

The robot voice was little annoying. Specially when they say parenthesis - "(" it really makes confusion. Also there were some text which says This/That (this or that) which the voice says this slash that.

The content in the course is very helpful as an introduction to Data Science. There is no enough material to 4-week study. I finished the course in 3 days at a regular pace. Robotic voice is a bit annoying