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.
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.
par Dr. S M A T•
Excellent Course designed to learn insights relating data science using R software. basic Coding and analytics basics are taught in this course. Moreover learning relating how a data scientist can collaborate on GitHub is an added advantage.
par James M•
Very basic, but I guess that is what is what is meant to be. Not sure I really liked the computerized voice over slide aspect. I get the point of how that is more efficient, but it certainly takes something away from the lecture experience.
This course was a lot of initial set up for the rest of the program. Basically just setting up programs and getting accounts ready for future study. All in all a good start, I expect material and course work will significantly pick up now
par Ajay S C•
its a nice course to introduce you with the tools required ahead in this journey of data science learning. It helps you in taking that first important step for moving confidently ahead in this great learning. Keep up the good work coursera
par Eugene V•
Content is not so engaging but I think the new format (text-speech) will help improve the course delivery. Topics are discussed thoroughly and if a certain topic will not be discussed in detail, links to additional materials are provided.
par Michael M•
Exactly what I wanted from an introduction. I feel prepared to begin the more challenging courses in this specialization.
This course isn't so much a value-add on its own, but is designed to set students up for success in a specialization.
par Tommy Y•
It was an informative foundation to start learning R-programming to Data Analysis. Although it was not easy at all for me to complete this course, I really loved to learn this toolbox including important concepts of statistical analysis.
par Muhamed N A A•
Though it was a ground basic skills, but yet solid to build upon. This course helped me a lot getting a clear picture of what is data & data science and the necessary tools required to analyize & generate actionable data.
par Hemanshu S•
This is really good course and overview about Data science. I had great start for course and Git and basic commands of Linux after several years.
This course will definitely give me exposure to think in best future stream of IT industry
par Lam Y H•
A great introduction to Data Science and the necessary tools required for the remaining course. Fairly simple, but more catered to a warm up for the remaining courses. Would encourage everyone to continue to complete the specialization.
par Hasan B•
A very good, organized, and interesting course that teaches you the fundamental introductory elements conserning data science, and helps you learn how to set up essential tools in order to begin learning R programing and using RStudio.
par Sean S•
I thought this course gave a great introduction to the topics being covered in the Data Science Specialization. I think the only thing I would of liked to of seen is more case studies and maybe some more supplemental reading materials!
par Sheikh A•
Eases into the world of Data science. I do not know if things are as equally easy as this in the future or is this the calm before the storm. Either ways, I'm very glad I took this step, and would recommend this to any one considering.
par Frederico P•
Great course, with thorough explanations regarding types of data, data science, the importance of version control and begins to introduce Big Data. It is complete and gives an excellent ground to start developing your first projects.
par Serbay S•
Content is sufficient for really beginners or who do not have previous experience . I learned about Data Science, Git and GitHub usage. I am planning to continue to next courses of John Hopkins University. Thank you for instructors:)
par Yian L•
I like the instruction of connecting programming with Github. This is not taught in my other courses but being extra helpful for people who will work in the programming communities. The automated voice delivers contents efficiently.
par Hassan M S•
The method of presenting the course is a dream come true for me! I am the type of person who can better learn by reading and always enjoyed the reading material of the course. A course containing solely the reading material is epic!
par Joseph F•
This is a concise course for someone who has zero background in Data Science. Relevant supplementary readings were available and the samples used were really helpful. I enjoyed the learning process and I also loved the xkcd comics!
par TAN S C•
Great course for a beginner. Very interesting introduction of Data Scientist’s Toolbox for self-learner in R like me. This course really useful and do help to solve my problem in track changes and manage my code for time to time.
par Eugene K•
This course is very comprehensive and if you watch the video and try and follow all the links to webpages, publications, etc. and then try to connect the dots you really have a great start in data science. Not to be missed. Thanks.
par Susan M•
Great intro course, really enjoy the self paced schedule. As a busy professional, it is often hard to find time to commit to scheduled courses. I am very grateful for Coursera, and all of the universities, who make this possible!
par Robyn W•
I came to start learning about R, and walked away with an understand of why I also need to learn R, Rstudio, Git, and Github. I'm grateful that this course taught me how to set all of that up, in preparation for the next course!
par AASHUTOSH J•
The way of approaching and explaining the concept was really helpful for me.
Nice way of approaching the concepts and problem-solving skills.
The best part is that it shows a perfect example and explanation of ML and Data Science.
par Rachel H•
This is a concise and well-structured course for beginners of data science. I would recommend this new way of teaching (robotic voice hahaha) for other online lectures, as this is a new way to review and update course materials.
par Wayne W•
A good overview. Set the expectations for what will happen in the rest of the Data Science classes. Gave a lot of good, basic information for people that are not familiar with git, GitHub, Rstudio, and basic Linux/Unix commands.