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.
By 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.
By 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.
By 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.
By 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 .
By Boris K•
Простейший базовый курс, не требующий никакой предварительной подготовки и минимум усилий. Указано 4 недели, по сути проходится за день.
By 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.
By 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.
By 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.
By 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.
By Rubens R•
The content is very useful for beginners. Moreover, the material is very good, nevertheless the links target in PDFs cannot be reached.
By 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.
By 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.
By Ennio D L•
Una introducción interesante y valiosa para los interesados en incursionar y tener a la mano las herramientas básicas de Data Science.
By 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.
By Vijay P•
Gives an excellent overview to Data science course and what it take to become a Data scientist. Well organised videos and instructions
By 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.
By 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.
By Marc-Antoine G•
Pretty basic (from a software developer perspective) but can see the utility for newcomers to programming and informatics in general!
By 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.
By 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.
By 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.
By Pedro M•
Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.
By Ravi S•
Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.