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.
автор: Marco A R•
Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos
автор: 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.
автор: 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.
автор: Surya P T•
Good course and it's great that Coursera has designed this course separately.
Enjoying the journey of data science with Coursera.
автор: 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.
автор: Nica P•
Great introduction to Data Science and useful tools. The AI voice took some time to get used to, but overall a good experience.
автор: 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
автор: 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.
автор: Martín S•
Excelent, very clear. I only have problems with some changes in the versions of the programs. But fortunately I could solve it.
автор: 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.
автор: 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.
автор: Fabiana G•
I enjoyed the course - I wish there were more exercises, but hopefully they'll come in the next courses of this specialization.
автор: 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
автор: Peter F•
Very mechanical in nature. Worth doing though as it provides essential building blocks for the remainder of the specialisation.
автор: Jeanne R•
Very basic information but it does walk you through things quickly and clearly. The final project could use a little proofing.
автор: Claudia R C•
The course is well structured and it covers various concepts, but I think it could be enhanced with more practical activities.
автор: 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
автор: 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.
автор: Ian J A•
Great course! However, the manuscript for module 4 is missing. Please fix as soon as possible to improve quality of lectures.
автор: Sorasa E•
The content is amazing and easy to understand for the new student. However, the assignment question/instruction is confusing.
автор: Stuti M•
This is a short term starter for those willing to indulge in the world of data science. The course is crisp and to the point.
автор: Taimoor G•
It's too easy for 1 month course.
Make it harder and make it shorter. Perhaps combine intro to R programming and this course?
автор: Graham C D•
Great course to get you setup - don't expect to learn anything besides getting the correct software and file sharing profile.
автор: Hande K•
Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.