Apr 15, 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.
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.
교육 기관: Bram V•
May 02, 2018
I really appreciated that the instructors took the time to go into theory and history before writing a line of code. I think an introduction or more reference to necessary statistical/mathematical knowledge would be good, but I understand if that's outside the purview of the course.
I also love the amount of extra, supplemental material you can review, whether it's a linked article or Leanpub book written by the lecturers. Would definitely recommend this course to other people interested in data.
교육 기관: 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.
교육 기관: Jesson P•
Jul 26, 2018
I think that the course is effectively introduces students to the basic toolkit of data science--informative materials, good explanations, and the accessibility to knowledge sharing through the discussion forums.
One suggestion please: It would be very convenient if you could put the links in all the videos in a place where the students could readily access them (contrary to needing to donwload the slide first to be able to access the links).
교육 기관: Josh C•
Jan 28, 2016
Excellent. I had a little trouble interpreting my lessons and completing the final project but I figured it out. I was under the impression from the previous videos and the assignment descriptions that I needed to do everything via "Git Bash" in my Mac Terminal, rather than just going and doing it all on Github.com. Either I completely misinterpreted or something was lost in translation right there towards the end. Loved the course though.
교육 기관: Patricia B•
Nov 09, 2016
This course is awesome. It takes you by your hand from the very beginning and leads you through all the process to install softwares and sign in on the most up-do-date tools to work on Data Science. And, besides being very friendly, it doesn't stay superficial on the subject. Another highlight is the quality of the material and of the experienced instructors. Excellent value for the investment. Highly recommended if you are a beginner.
교육 기관: Juha R•
Apr 11, 2018
I think they have pretty much nailed it with this course/specialization. I have tried several courses on data science from Microsoft, EDX and Coursera and they always seems to lack something. They are either too nimble, lacking the big picture, or they are too long or badly designed. The team is great, they have a very hands on experience on data science and the learning goals are presented in a palatable manner. Excellent course!
교육 기관: Meghan R Z•
Jun 14, 2017
This course provided an excellent introduction to Data Science, the tools used for analysis and basic concepts. It helped me to develop a solid foundation for future coursework in the Data Science track. The presentations are concise, giving necessary details for understanding without excess volume. Plenty of quality references are provided for those, including myself, who want to learn more about the data science discipline.
교육 기관: Jay D•
Jul 27, 2018
It was a great start of the specialization course. I completed in just one day. So in fact if you get a time of 4-5 hours in any holiday or free day just do this. It will create interest in you to learn more and more with quick space. I highly recommend this course to the people who has some interest in data science and want to learn more but doesn't get a clue where to start. This is actually a perfect platform to start .
교육 기관: Catherine I•
Jun 28, 2019
Very good course to get the basics of what the overall specialisation will entail. Great information on setting up your system for any of the other courses in the specialisation. Information on Command Line programming and version control with Git and GitHub set-up proving to be useful. Good to get an introduction to the process of submitting peer reviewed assignments for future courses. Overall good introductory course.
교육 기관: Huangyani•
Oct 16, 2019
This course is perfectly suitable for people who have passion in R or data science, and has some basic concept of statistics but not a specialist yet. I am a undergraduate student majoring in public health .I choose R for my first scientific tool because of its various utility and applicability to data analysis. But I also want to try to learn some Python in the future. Thank you professors, and my dreamy school--JHU!!
교육 기관: Dhiraj K•
Nov 05, 2016
To start with, I have enjoyed this experience of online learning a lot and this is my first online course. The structure of the course is very well designed. The platform is very user-friendly. Although it was just a basic introductory course, it is just a step towards learning more interesting things from a renowned university and very good professors. Looking forward for more quality courses. One step at a time!
교육 기관: Gabriel V d O•
May 09, 2020
The teaching methodology of presentation were excellent, I was a little disappointed for not having any more applied exercises. But I believe that my expectations were high and it was necessary to focus only on the tools on this stage. I imagine that this must be the content of the next modules, which I am looking forward to doing. I thank Coursera and JHU for the opportunity granted by the scholarship.
교육 기관: Lourdes M S V•
Dec 26, 2019
It is a great course for begginers in Data Science. The videos are clear and easy to understand for non-english native people. I think it is overwhelming the first step with the tools: R, RStudio, Git and Git Hub, but, if you dedicate enough time to read the material and manuals, you can do it. The fourth unit was delightful. I learn a lot and I want to say thank Coursera and JHU for this opportunity.
교육 기관: Ron L•
Aug 10, 2018
I have had a Github account for about a year now and I have never used it. Version control is an important part of programming and data science process so being forced to use it by via assignments was a great touch. I am comfortable loading repos now and I have the tools to use Git to have it on my local machine. A great introduction to what is turning out to be a pretty exciting and beneficial class!
교육 기관: YI W C•
Sep 26, 2019
It is a great intro for a beginner if you want to get to know Data science in a broader way. I highly recommend people who are interested in data to join the course. Besides, the course doesn't have to spend many time every week. The content of the course is organized well in a slow path and can also gain more confidence after taking the course, which may be helpful for the following learning.
교육 기관: Clare G•
Feb 17, 2017
Very well received by this beginner. I appreciated the time taken to offer an introduction to the command line, which was focussed on the immediate commands needed to continue with this course. Many other data science courses either overlook any kind of command line tuition, or they point you to an overwhelmingly large other tutorial on the subject which would take you 3 weeks to complete.
교육 기관: Charles D•
Jul 05, 2016
This is a nice course on getting and installing the data scientist's tool box. In the future, this course should be improved with an example of creating files in Git and pushing them to GitHub. Although issues were addressed by peers in the class, going through an example before the course project will very much help future students with no experience. Great course. I highly recommend it!
교육 기관: Christopher A C•
Mar 28, 2016
This is a wonderful introductory course. I allows one to get an idea if they would like to continue towards the specialization. I would suggest taking this course with the R-Programming course. I have a very basic knowledge of Data Analytics and I could have taken the first two course simultaneously. However if you have a incredibly busy schedule just taking this course would be fine.
교육 기관: Francis S P•
Oct 29, 2019
I recommend that beginners, coders new to data analysis and anyone seeking foundational experience with Git, collaborative coding or the R programming language start here. It does not dive deep, but does introduce interfaces, basic syntax, routine operations and some commands in the technical setup portion, and also goes into test design and glosses the general field of study nicely.
교육 기관: Justin A•
Jul 15, 2019
Excelente curso. Brinda una introducción a la ciencia de datos (Data Science) y las capacidades de este campo. Se configura RStudio y se aprende a utilizarlo, junto con los repositorios de GitHub, y se muestra la manera correcta de obtener ayuda con los problemas que puedan presentarse. Al final, se crean archivos con RMarkdown, y se introduce Big Data y el pensamiento estadístico.
교육 기관: Sheri M W•
Jun 07, 2016
This class is a great introduction to the tools needed to begin working on data analysis. The assignments provide just enough instruction to cover the basics and propel you toward uncovering additional information on your own. The assignments are structured in such a way that you must pay close attention to the lectures; then analyze and apply them on your own. Great course overall.
교육 기관: Arijit D•
Dec 27, 2017
Beautifully set series of lectures that gave an in depth view of what Data Scientists are thinking of in this modern era of human excellence. The slide font to be slightly increased and the sound quality too.
My teacher of the course has given his best and their could be no comparison of his efforts.
Thanks to team Coursera for setting up such a beautiful set of learning material.
교육 기관: Jose A R N•
Oct 16, 2017
My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)
I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.
The course was excellent and the classes well taught by the teacher.
Congratulations to Coursera team and Instructors.
교육 기관: Sai C K•
Apr 09, 2020
It was a great Toolbox..!
It seemed to be simple but yet it was challenging as it was the first time I was exposed to Data Science, R, R studio and even GitHub.
It effortlessly made me focus on simple tasks.
Which made me more curious about how effective other courses might be.
Looking forward to learning and growing my skills with this wonderful platform.
Thank you, Coursera...!
교육 기관: Nino P•
May 24, 2019
Not really interesting course, but good for start. You won't learn much beyond setting up github account and downloading R, but it fits well in the overall specialization. The feel is that this course is like the first day of school, you don't do much of work, but you still need to come. I do not recommend taking this course alone, but I do recommend taking the specialization.