Sep 08, 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.
Jul 22, 2017
Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.
創建者 Jitin V•
Aug 13, 2018
Good to set you up for advance courses.
創建者 Anthony V•
Aug 16, 2018
Great course, really helps get you into the right mindset for becoming a data scientist.
創建者 Frederik C•
Aug 13, 2018
創建者 kaan b•
May 28, 2019
Not met what offered. I really don't know why but Instructor was in a hurry and like, he was in the position of instructor by obligation.
Maybe, He has knowledge of the subject, but definitely does not have even basic skills of teaching.
Because of this course, I am not planning to follow other courses on this specialization.
創建者 Khaleel u r•
May 22, 2019
execellent i am very to gland get this certificate .. it is so valueable for me. the first one of data science track
創建者 Andrea R C•
Apr 11, 2019
A great intro to the course. I am not the biggest fan of the automated voice, but it gets the job done. I do like the secondary lessons written out with bulleted lists and close-ups of the slides. That is like a helpful review.
創建者 Paul R•
Mar 13, 2019
Basic introduction for the specialization, principles of data science, and installing stuff, it's fine to get started but could get hands dirty with R more quickly. Overall the plethora of 4-5 star reviews for this specialization seem generous. You will learn a good deal but there is heavy focus on R and academics of data science (Rmarkdown, Knitr, shiny apps etc), only 3 courses (6,7,8) get into meat of statistics/regression models and ML; the capstone project is interesting but doesn't use much of this stuff, it gets bogged down in technical work with new R libraries for text processing. The material is a few years old and not being maintained, discussion forums and interest/participation feels stale. Take some time to look at syllabus and compare to other courses for what you want to learn before committing many months to this specialization.
創建者 sonal g•
Feb 03, 2019
Providing feedback means giving students an explanation of what they are doing correctly AND incorrectly. However, the focus of the feedback should be based essentially on what the students is doing right. It is most productive to a student’s learning when they are provided with an explanation and example as to what is accurate and inaccurate about their work.
Use the concept of a “feedback sandwich” to guide your feedback: Compliment, Correct, Compliment.
創建者 SANJEEVE K G•
Jan 24, 2019
Coursera has given new life to me
創建者 Aman U•
Jan 05, 2019
Good but need more explanations for topics.
創建者 David S•
Dec 20, 2018
This course was in many ways the first day of lectures, get your syllabus, buy your books, install your tools, etc. I would give it 5 stars but the lectures inclusion of internet addresses that aren't links and aren't included in the transcript led to a lot of time paused and typing out long addresses.
創建者 Usenaliev N•
Dec 08, 2018
Would be great to have more reading materials
創建者 Tolga T•
Nov 24, 2018
!!!STOP DON'T TAKE THIS COURSE!!!
%100 pure advertising. There is a moment I felt like I learned some thing, but rest of the course I played with x2.0, of there was more I would have get it.
Putting this into Specialization requirements is smart from your perspective, you are basically saying if you want to reach Capstone pay me $50 more, but at least fix the typos you made during video, just a little respect to your subscribers. But right now, I highly doubt that Capstone Project will be something serious that I want to mention in my Linkedn. There is also downside of what you do. But since you are in between the top rated courses either nobody uses Coursera anymore or people are silent enough and patient enough.
You are all Scientists like me, I'm also biostatistician but I would never ever post a course like this to any platform. I'd rather use Google or Facebook ads to lead people here.
If somebody wise enough to get Data Science Course, he should be skillful enough to download R, click next and install it, and R has help for it, shows you step by step. GitHub is free platform, anyone who can signup for Coursera can signup for GitHub, too.
I know there is no requirements for this course or specialization course, it is 0 to Scientist but seriously you are talking about R codes, arrays, loops, regression, model fit but signing up for GitHub.
Your target group in Coursera is either Data Scientist or becoming one, so they know what the Data Scientist job posts requires.
It requires coding blind folded R/Python/Java/one of C family at least 2 of them, hopefully all of them.
It requires SQL, MySQL, NoSQL, any kind of SQL or database solution mankind ever used.
It requires Math, Statistics, Analytics, Algebra, Finance, Economics + all kinds of computational sciences
It requires management, social relations, advertising, psychology, anthropology + rest of the social sciences.
+++++ it requires LOGIC and NON-ARTIFICIAL HUMAN INTELLIGENCE
so we are trying to be that guy, no need to show installing R or GitHub, I'm sure you will do it again doing rest of the Specialization.
創建者 JEFFERSON D S N•
Aug 31, 2018
SIMPLESMENTE SENSACIONAL !
創建者 Jasmine P G•
Aug 16, 2018
The course is clear and good to learn,
創建者 Pratyush M•
Aug 13, 2018
A bit basic, but a great start for beginners.
創建者 PALAKOLLU S M•
Aug 10, 2018
Teaching of lessons are simply amazing.
創建者 William C•
Sep 26, 2017
I really don't know much about this stuff, I think the jury's still out on whether the last four weeks will be helpful in the future. We'll see how much I think I've learned at the end of the course
創建者 Samith W•
Jun 24, 2019
Good introduction for basics of the data science and build a solid foundation for rest of the course
創建者 Zaynah K•
Jun 23, 2019
Needs more detailed instructions for MAC users
創建者 Anderson T R•
Jun 23, 2019
It's a very good course but it should have some exercises.
創建者 GUIRONG L•
Jun 23, 2019
Great course to start learning knowledge about data science.
創建者 Filipe F•
Jun 22, 2019
Its a good basis. But i think there is a lot of information that is not relevant . Also, the materials of some questions are not mentioned in the videos.
Jun 21, 2019
A good course for beginners!
創建者 Woszczyk H•
Jun 20, 2019
If you already know your way around git and basic programming this is not a very interesting course.
I feel it should be included in the specialization.