Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

Good start, looking to dig in more, as I already have a background in stats data analysis and data viz.

Quite simple. It could be more engaging.

When downloading PDF slides, links in them should be clickable.

Good and objective course. Gives the basics about data science and how to get started with R software.

Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).

Great cousre for starting in the data science since, it contains the installation and usage of tools .

From the begining of the course thats difficult to catch structure if you are new to the Data science.

More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!

Brief and Excellent! Content great for anyone getting into software development not just Data Analysis

Nice Course. Important to have a general idea about what is necessary and also useful for data science

great intro to stats concepts for data science and the programs. No real coding taught in this though.

Helpful for people with no experience on the subject matter. Very straight forward and easy to follow.

Really good. Just some minor issues with the automated voice and some typos. All in all great though.

Good, simple introduction to the specialization. Accompanying PDF slides would be great if clickable.

Very good introduction. It is a very basic, but much needed step. Setting up the tools you will need.

nice course, but it would be better if the teacher can give us more details more about git and github

Interesting to know about Data Scientist and the tools. Eagerly waiting to go through the next lesson

Very informative course. The Quiz questions however may not be necessarily be in the course content.

The only minus was that it was hard to catch automate sound. Except this the content is informative.

very nice Course for understanding basics of data science and Rstudio also help to understand github

Not a fan of automated videos. However, they provided a read-up following the videos so it was good.

The course is a nice set up for tools and environments that you need for other data science courses.

It's fine, but mabe quite easy. 4 Weeks are too much. This course could be done in a couple of days.

It is helpful to grace my knwoledge and i get better knowledge from these course thank u very much.

Better u python instead of R programming.

and put guided for course material installing on Linux OS.

The videos voice is a little different but overall the course content and explanation is very good.