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.
by Hassan A•
Oct 04, 2018
I think it was too long for such content
by Florence C•
Nov 08, 2018
I wonder if most of students who took this course would have expected to keep installing software, one after one, and seems never end. For the whole week course, there is nothing related to the course. The worst part is that once I got into trouble to get a software work, I got stuck. I spent hours and hours to search for a solution on the web. However, most of the answers are too technical for me to understand. Although I understand that data scientists have to use some computer programs to assist them to the work done, I don't think that, as a novice, at this stage I need anything like GitHub or git to help me learn the subject. Moreover, I'm not sure if I would be taking another data science course yet.
by Javier R L G•
Aug 06, 2018
Too slow!! Why waiting for others to finalize and rate, enter enough dummy exercises so that the student can complete the course much sooner. Thanks.
by Illan W•
Jun 05, 2019
Lectures are ridiculously boring, especially without having any video cam component to bring stimulation to the class.
by Shyam D•
Jun 27, 2019
exercises given don't follow the course line
by Rose G•
Jul 11, 2019
Not that interesting, but gives you the basis to install R and git
by Eric J S•
Aug 06, 2019
Very basic course. Poorly motivated, material presented without an effort to demonstrate why. This is not entirely out of place in this intro course, but it permeates the entire program. Difficulty poorly controlled, projects and quizzes much more advanced than lectures.
by Daniel P•
Sep 09, 2019
In my opinion, the content of this course is too basic and little bit of topic for the data scientist specialization. Of course it is useful to be able to use git, shell etc. but I believe that most of the people already know those and the rest of the students can be redirected to relevant study material. All in all, there was about 90 minutes of relevant study in this course.
by Thomas V•
Dec 15, 2018
by Lia L•
Feb 19, 2019
I really don't like the automated videos.
by Charlie Z•
Apr 08, 2019
Do not take this course if you want to get a job in industry. Python now dominates industry and R is basically obsolete. I will be switching to a course in Python.
by Самойленко К В•
Jan 08, 2019
A lot of common information, no real examples. may be OK os introdaction, but for scilled student useless. Bunch of very short videos — I'd prefer to see it as a text tutorial
by Diego V B P•
Mar 11, 2019
"You passed this course! Your grade is 100.00%."
I feel like I have not learned much.
Even though I have taken 100%, as you can see above, the course tackles very little programming. And the final project, it asks to do some activities, but when looking at the forum, I saw that what was talked about, had a level of knowledge that the course had not taught. But worst of all, was receiving financial help from 1/9 courses. Would not it be for the whole course? They are complementary. What will I do with 1 certified course, which as you can see my complaint above, I have not learned anything?
by SHENGNAN Y•
Nov 13, 2017
I missed the entire course deadline just because I stuck in one of week 4 projects - pushing a file into GitHub. When I went to the forum, there are so many people in the same situation. The main reason is that the week 4 video did not cover the project content well. Overall, compared to other programming courses I took on Coursera, this course is not well organized at all! Instructors basically just read words in slides, no interesting examples and no hands-on practices, especially week 4 slides that look like a syntax reference document. So the entire instruction is very boring, making me wonder why I need to sit here and listen to word reading rather than buying a textbook. Also, people coming here to learn it are new learners. When the instruction skipped much and made the content not logical and complete, it is very difficult for us to understand what the video is talking about. That's why in forum there are so many people expressing their confusions. This entire specialization is the one that I've taken and feel the worst (I got lost in the R course too). I strongly recommend the instructors of this course watch and learn how the instructor of the specialization "Python for Everyone" organizes and teaches the content. He makes programming become very interesting and easy to understand. He also provides many hand-on practices to help learners understand abstract concepts. Unfortunately this specialization instruction is just about reading words in the boring slides.....
by Marcelo S•
Dec 09, 2017
This course is more of an overview of what is to come. A lot of what is presented here could just be in the format of a word or PDF with a series of links.
by Deleted A•
Aug 21, 2017
I had a very bad experience with this whole course set-up. Especially the peer-grading, you have no insight on why they assigned this score to you - nothing.. ..especially when you know you did your course work correctly.. i will never come back to coursera.. waste of money !!!
by Daniel H•
Jun 08, 2017
No value as a stand alone course, as completing it provided no more knowledge, skills, or attitudes than, say a 15 minute Ted Talk would. May help prepare me for other courses in the Data Scientist Specialization, but it's difficult to say until I complete those courses. I may come back and change this review after completing other courses in the specialization.
by Marcelo X d N•
Dec 25, 2017
Eu achei o site desorganizado, não sei se concluí ou não o curso. Não sei se executei todas as tarefas ou não. Decepcionante
by Ivan Y•
Oct 26, 2017
The course contains almost no valuable information. It is not required to spend 4 weeks for it.
by Deleted A•
Jun 12, 2017
The first week has one assignment: a five question quiz that reviews the syllabus, course/program design and purpose. As someone with multiple degrees and a PhD significant other - both of us work, and are successful, in data analysis and research. My career is centered around Business Intelligence. I was hoping to engage a program that would help me develop R programming skills and build my skill set. After watching all the videos twice, taking notes, completing almost five hours of online research into the topics that I encountered during my first attempt at the quiz, having my significant other review the topics & questions with me, I still failed to pass the quiz after ten attempts. Hence, a syllabus quiz is my roadblock to moving forward in the program. This is not pride, I am not imagining myself to be a genius who is insulted by this failure. Frankly, no one is stupid enough to have not been able to comprehend a syllabus and course desi
by AUNG K•
Dec 02, 2016
Not worth 29$ considering you could take away very little from this course.
by Andrey A•
Mar 10, 2016
This course must be a part of another courseres.
Apr 20, 2017
by Attila T•
Jan 24, 2016
It is really basic course, I expected much more even if this is offered only for $29.. (the cheapest course in the specialisation)
by Aayush L•
Sep 20, 2016
Is this a real course for a data scientist just installing shit and a peer reviewing for that screenshot and forking all repos ...very bad not worth to be with rest course in specialization