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 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.
By jaclyn
•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.
By Arti
•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 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.
By 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
By John F
•On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.
By 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.
By Hanqi Z
•This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners
By Avinash P
•A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.
By sachinkumar
•This course has given me a basic knowledge of different tools and statistical techniques that data scientist use to play with data.
By Moemen A
•An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.
By Katherine H
•This was a great course to get set-up and an initial introduction to all the important programs and software that interact with R.