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.
автор: Avinash P•
A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.
автор: Sachin K•
This course has given me a basic knowledge of different tools and statistical techniques that data scientist use to play with data.
автор: Moemen A•
An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.
автор: Danny N•
A great introduction course to the world of data science, Github and R programming. Easy for a beginner like myself to understand.
автор: Katherine H•
This was a great course to get set-up and an initial introduction to all the important programs and software that interact with R.
автор: Ansh M•
The introduction to Git and GitHub could have been a bit less theoretical and more practical. Overall, a good introductory course.
I hope the content of this course would cover more materials during lecture. But overall, I am very happy with this course so far.
автор: 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!
автор: Sehrish A•
Course was very good and informative but the speed of voice in videos was very fast. In the start it was difficult to understand.
автор: 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
автор: 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.
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 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.