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.
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.
I hope the content of this course would cover more materials during lecture. But overall, I am very happy with this course so far.
By RITU T•
Ideal course to get you started for a data science specialisation. Informs about and helps you install all the required softwares.
Overall, I liked being exposed to Github and GitBash. I felt this course gave me a broad overview of what to expect in the future!
By Umair A K•
Even though the content was good, but this is more like a 2 week course. I finished it in 4 days spending on average 1 hour daily
By Kumari N A•
If you are completely new to Data Science, then this is very good course to start with. All the basics are explained very nicely.
By Marco A R•
Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos
By vishal b•
More number of hours are given than required. Good learning for non IT field people. For people with IT background, its too easy.
By Jon b•
A little basic, but necessary to get everything you need set up for the next classes in the series. And it does that well enough.
By Surya P T•
Good course and it's great that Coursera has designed this course separately.
Enjoying the journey of data science with Coursera.
By Alexandra D•
Would have bee nice if it included a bit more "in Git" tutorials, but that is easily figured out when left to one's own devices.
By Ivan A•
The course provides a good theoretical basis to get into data science and it is also very practical to link github with Rstudio
By Elvis M M•
The introductory course is very helpful. Getting to know the use of Git and GitHub is very appealing and will be of importance.
By Martín S•
Excelent, very clear. I only have problems with some changes in the versions of the programs. But fortunately I could solve it.
By A B C•
Great content for beginners, who actually need a start about what data science is all about and where it is used all around us.
By debashis r•
Its a good course those who prefer to study online.It gives a basic knowledge about the data tools which are going to be used.
By Fabiana G•
I enjoyed the course - I wish there were more exercises, but hopefully they'll come in the next courses of this specialization.
By Matthew G•
It covers some basics, but doesn't go deep into anything. Definitely take the other courses in the specialization to go deeper.
Good courses and necessary for people like me who never have a relation to computer science,,, But it is a waste of money...lol
By Peter F•
Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.
By Jeanne R•
Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.
By Claudia R C•
The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.
By Ashutosh A•
The course is helpful to understand the basics of data analysis, big data, etc. more focus should be given to assignments in R
By Teresa E•
This course is a basic conceptual introduction to data science and a glance at RStudio and Github. It is very easy to follow.
By Ian J A•
Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.
By Sorasa E•
The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.