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: 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: 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.
автор: Pedro M•
Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.
автор: Ravi S•
Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.
автор: Saruul A•
very quick course just to get your workspace set up; if you are already familiar with github or rstudio, no need to check the videos
автор: John F•
On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.
автор: Damon G•
Things got a bit hazy when it came to adding the .md file to our data science repo on GitHub. Other than that I enjoyed the course.
автор: Hanqi Z•
This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners
автор: Avinash P•
A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.