Sep 7, 2017
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.
Apr 14, 2020
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 Leul B•
Nov 2, 2016
Pretty great introductory course on types of data analysis. I can't wait to see how this builds in the future courses of the specialization.
May 5, 2016
Nice course for Beginners, No complains regarding course material, however there is little bit audio issue in some slides as it is bit low.
By Peter E•
Feb 14, 2016
Great Course! Overall I would recommend. Had a little bit of trouble b/c I am using a Mac but after a few Google Searches I was on my way!
By Brandon P•
Jan 20, 2016
Great course! I would recommend compressing the audio on the video presentations so it's easier to hear and more consistent in volume level.
By Ashe G•
Apr 28, 2020
This course is nice kick start for the upcoming courses but the course could have been even more interactive . over all nice experience .
By Kadimisetty H S P•
Jan 12, 2020
This course helps many of us to get started with R and R studio. It also explains about some famous terms in data science and statistics. T
May 23, 2019
Everything was perfect except the Git and Github part. It was confusing. I ended up not using what it has teached me to pass the final exam
By Girish V V•
Dec 28, 2018
Quiz in final submission related to usage of toolbox Rstudio, like loading new packages will add more value and will help the learners also
By Francesco M•
Dec 28, 2017
Good introduction on Data science specializationi. I highly recommend to all people that would like to know more about this fantastic world
By John W•
Jan 9, 2017
I knew most of the material in this course already, but I thought it was a good introduction to some of the tools that data scientists use.
By 辔己 P•
Sep 27, 2021
For someone who has never used Github, I feel the instructional materials are a little bit confusing. Video demonstration would be better.
By Olivera D•
Jun 11, 2020
The automated voice of the lectures is dehumanized. It is less productive and focusing learning from a machine, but the material was good.
By Zengqi L•
Mar 7, 2017
I wish the instructors can be more clear with the Git and Github part. I still don't fully understand how to use Github for various tasks.
By RHR P•
Mar 13, 2016
The course is very nice and provides all that you need to get started on Data Science. Looking forward to the next set of courses. Thanks!
By John T M•
Dec 17, 2020
It was a good start and overview. The robot voice didn't always read correctly. RStudio has changeds since slides were made. Mostly good.
By Jonathan H•
Jan 10, 2020
Material is awesome! Clear and simple, with great examples!
Questions at the end of the modules are confusing sometimes, could be improve!
By Syam P V•
Nov 12, 2017
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•
Feb 13, 2016
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•
Jan 29, 2016
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•
Apr 16, 2020
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•
Sep 14, 2019
Простейший базовый курс, не требующий никакой предварительной подготовки и минимум усилий. Указано 4 недели, по сути проходится за день.
By Chris W•
Apr 4, 2016
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•
Jun 10, 2020
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•
Apr 17, 2020
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•
Aug 25, 2019
Overall the course is very good. However, I feel that a little more on statistics foundation would have added more value to the course.