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: Cathryn S•
Fine as a general introduction, but not a lot to it. Good explanations of how to use github and get set up.
автор: Abhinay R•
A very good intro course but must be priced lesser when compared to the other courses in the specialization.
автор: Seung J L•
Some of the material could be updated even more, but in general a good intro to a data scientist's tookbox.
автор: mohamed y•
Great introductory to the data science tool box and its usage and benefits __ data science 0 course really
автор: Miryam A M C•
Algunas partes del curso deberían tener mas ejercicios para practicar lo visto y reforzar mas lo aprendido
автор: Dushyant B•
A good course to set up your software tool kit before you start your dive into Data Science Specialization
автор: Ihab A•
This course is perfect for really newbie. However, it also answers the question of "What is Data Science?"
автор: harish s•
Good and clear explanation. if more assignments were given for practice, to would have been more helpful.
автор: Meagan V•
Easy to follow for the most part. A couple of things were outdated so I had to figure them out on my own.
автор: Chen S•
the course omits some important things like how to download MikTex and how to use it to open an rmd file
автор: Anku N M•
Course was good, but would have been nice to have some TA/professor oversight of the discussion forums...
автор: Adam S•
So far so good, Git was a bit difficult to get going but I'm excited to continue with the specialization.
автор: Michael M•
A good course for identifying the field of data science and introducing the computing tools of the trade.
автор: Bernard O•
A simple introduction to R and data science. You have given me the appetite to know more and learn more.
автор: Guillermo C P•
Sometimes beginners MAC's users get a bit lost due to many explanations are only for Windows environment
автор: Thomas Z Y•
Straightforward, and I know what to expect for the next few chapters with John H University. Thank you!!
автор: Filipe M•
Good introduction to data science, however it should have more details and practical examples about Git.
автор: Eileen S•
Super basic introduction. I liked the last section reviewing data science methods and conceptual ideas.
автор: Donghee L•
I think more detail statements are needed on PDF.
Because I'm not good at listening, so I studied by PDF.
автор: Shriya I•
Extremely informative & interesting, Instructions can be followed with ease. Worth the time and effort.
автор: John E F•
Excelente curso, porem diferentemente da descrição, existe legenda em português, apenas para um modulo.
автор: Satya P•
Structure, content and step by step practice was good. Interface to browse the courses could be better.
автор: Jay G•
Good start, looking to dig in more, as I already have a background in stats data analysis and data viz.
автор: Vicent G•
Quite simple. It could be more engaging.
When downloading PDF slides, links in them should be clickable.
автор: Cristiano L•
Good and objective course. Gives the basics about data science and how to get started with R software.