As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
By Mohammad O•
I like to continue, but i stopped learning because the robot instruction which is annoying presentation.
I'm looking other courses which has better presentation tools, like real instructors.
By Constantin S•
It's a very basic introduction. Would be nice to have the option to skip it for more advanced students.
Also the recorded lectures are really quite, so you have to turn up the speaker a lot.
By Pratheek G•
Good Introduction to the basic tool set, Can be bit more comprehensive by giving an overview of other tools available to do the same operations and also why this tool set has been chosen.
By Fraida L•
There wasn't much to learn that I didn't already know. There was a lot of talk but no real practical application (I guess except for github for people that didn't know how to use that).
By Sasha M•
This course coud have been provided as intro to R programming course or it could be just planned for 1 week. Anyway, overall it was ok though not yet extremely intense or informative.
By Lauren O•
It was a good overview. I understand that it’s really just a quick intro into upcoming specialization courses. I wouldn’t take it alone. But I’m excited for the rest of the courses!
By Emmanuel A•
I got a brief understanding of R. Better something than nothing. The problem is, they need to update their lectures. This would be less confusing and more convenient for students.
By Christopher H•
I know it might be the future for training videos but had a hard time staying concentrated listening to a mono tone computer generated voice. The course content itself was good.
Make it more illustrative.. The examples are very less and not explained properly for beginner. Assignments should be more practical. There must be a tutor to clarify the query.
By Abhijit H D•
A good attempt to give introduction on basic Data Science tools though most videos end abruptly which spoils the seamless navigation experience. Maybe the team can work on this.
By Justin B•
Good introduction, but the professor could have been more descriptive about how to use git/github. These are new concepts for people so it may be difficult to grasp right away.
By James S•
Probably a good course if you aren't terribly familiar with GIT or some form of version control. It also helps to get all the tools in place to be ready for the other courses.
By Jeff J•
I understand the rationale for the auto-voiced videos, but I wasn't crazy about it. More importantly, I didn't understand why the text-only versions can't be used on an iPad.
By George C•
Good outline but perhaps a bit slow going when a lot of people want to get into coding as quickly as possible- could some of the git instructions come further down the line?
By Peter P•
The automated videos have seriously reduced the value for money for this course. With thousands of students, surely you can spend a bit more time making this presentable.
By Christian B•
Good course for an absolute beginner, but much too light if you have any experience at all with data science or programming. Entire course completed in just a few hours.
By Bre K•
It is a good intro course to get set up with everything you may need for future courses, but it's not necessary if you are already a little familiar with github and R.
By Chaitanya A•
The assignments were too simple to solve. Maybe 1 or 2 graded questions on Git/GitHub could have been added considering the importance of its usage in future courses.
By Chrissie J•
I enjoyed the start up course and look forward to more, but am battling to figure out how to sign-up for the next step all roads seem to force me back to the Toolkit.
By Sam K•
Nice to have a place to get all the tools setup but it's also harder to feel like it's worthwhile when there are no applications for any of the things we installed.
By José A d C F•
I think final assignment can be improved. For example, the assignment implies that you know how to generate a codebook.md and the video classes doesn't teach that.
By Juan I Z•
For people that are new to Data Science this is a good intro, for people that might have some experience with R, statistics and ML in general this is way to basic.
By Jaydipkumar D P•
The course is structured well, but I found it too elementary, I didn't learn anything new. So, If you know basics of Data Science and R. Kindly skip this course.
By Christian S•
I think this course could be integrated into the other ones of the specialization, or, if it is meant to be just a course to get an overview, be free of charge.
By Biplab G•
Helps to get the initial environment setup for the Data Science specialization.
Certificate received after completing the course is not effective/useful at all.