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: John T M•
It was a good start and overview. The robot voice didn't always read correctly. RStudio has changeds since slides were made. Mostly good.
автор: Jonathan H•
Material is awesome! Clear and simple, with great examples!
Questions at the end of the modules are confusing sometimes, could be improve!
автор: Syam P V•
Good crash course on setting up all the toolbox necessary for a data scientist. The quiz could be more difficult than it is designed now.
автор: Arthur G•
In the course they use some tools' older versions and, for example, some Git commands shown on video are different in newer Git versions.
автор: Anand S•
Informative and helps people like me who are willing to learn from scartch. The course content though can do with a little more updation.
автор: Tanjim R•
This course is very good for introduction to Data Science toolbox . But there are some typing mistakes in the subtitles in some videos .
автор: Boris K•
Простейший базовый курс, не требующий никакой предварительной подготовки и минимум усилий. Указано 4 недели, по сути проходится за день.
автор: Chris W•
This was a very professionally done course. It is *very* introductory, which is either good or bad, depending on how you feel about it.
автор: Sichen L•
it introduces the basic tools that are frequently used in data science. However, it is rather baisc and the course did not go in depth.
автор: Saleem G•
I didn't like the computerized voice. The computer spoke a bit too fast and mispronounced some words. Certain sections went too fast.
автор: sachindra p•
Overall the course is very good. However, I feel that a little more on statistics foundation would have added more value to the course.
автор: Rubens R•
The content is very useful for beginners. Moreover, the material is very good, nevertheless the links target in PDFs cannot be reached.
автор: Dimitrios G•
While this course is introductory to a specialization, I believe there is more curriculum that should have been covered in this course.
Helpful set-up course. Not too meaty & definitely didn't take 4 weeks but smart to have everything set up before diggin into the rest.
автор: Samavedam M P•
Good beginner's course to start learning advance topics like R programming, etc. Very useful tools such as Git-hub were taught simply.
Very basic stuff - if you've ever done any coding before & have even a rudimentary knowledge of Git/Github - you can skip this course.
автор: Ennio D L•
Una introducción interesante y valiosa para los interesados en incursionar y tener a la mano las herramientas básicas de Data Science.
автор: Manasvita J•
A broad overview of a vast subject. It gives its students a good platform to get started on learning the nitty-gritty of Data Science.
автор: Vijay P•
Gives an excellent overview to Data science course and what it take to become a Data scientist. Well organised videos and instructions
автор: Diana R•
AI voiceover isn't the best but I understand why it's used. On the heavier sections it would mispronouce commands and go too quickly.
автор: Enrique E•
When describing steps to follow in R studio, or to link to Github, the video is impossible to follow, and the wirtten form is better.
автор: Marc-Antoine G•
Pretty basic (from a software developer perspective) but can see the utility for newcomers to programming and informatics in general!
автор: Suwei W•
This is my first data science class. I learned something about the tools, hopefully I will find them useful in the following classes.
автор: Gregory R B•
Good, but would like a step by step walkthrough for MAC/Windows when setting up the final assignment to ensure everything is correct.
автор: Krishna C T•
Good Introductory Class, all though I think some of the videos were too fast. Need to provide more explanation on some of the slides.