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: 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 A couple of things were outdated so I had to figure them out on my own.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.
автор: Brandon W•
Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).
автор: Sanidhya S•
Great cousre for starting in the data science since, it contains the installation and usage of tools .
автор: Danylo K•
From the begining of the course thats difficult to catch structure if you are new to the Data science.
автор: Russ L•
More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!
автор: Aliaa M A•
Brief and Excellent! Content great for anyone getting into software development not just Data Analysis
автор: santiago R•
Nice Course. Important to have a general idea about what is necessary and also useful for data science
автор: Matthew S•
great intro to stats concepts for data science and the programs. No real coding taught in this though.
автор: Victoria S•
Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.