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.
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.
par Dianne H J•
Jan 18, 2018
Course had a LOT of information. Really appreciated the hands on assignments (although it was kind of scary for me to be installing software in "terminal" mode on my Mac from remote servers). The lectures are done so well, full audio/visual and downloadable slides with supplemental links and documents.
par Rahul S•
Mar 12, 2017
Course is presented in very lucid manner and give you ample information to learn from scratch. Great course those who don't have any background in data science and willing to learn it. Pedagogy is highly appreciated and assignments are never like fun activities that John Hopkins are crafted for learners.
par Pranith N•
Apr 28, 2020
The course was very informative and I admired the way they scheduled and organized the course , it was very easy to understand and moving on with it.
at the initial I thought it was rushing through the content but as i started going on there phase of speed of teaching , I managed to get to there speed.
par Jerbie d l C•
Sep 19, 2019
a really nice introduction for data science :) Although the Text to voice was a bit weird at first, I got used to it very soon. It's one of my first online Courses to complete and I really like the format. You can actually complete the course in less than a week if you have the time. Very worth it!
par Oliver G•
Feb 11, 2019
Ideal for anyone who has never had any experience in the subject of data science. The course lays a nice foundation of what you need to know for the next courses in the specialisation. I would say it is 60% conceptual, 40% technical, which for me is just the right mix to get started on the subject.
par Gauranga P S•
May 03, 2020
Learning Data Science has always been a passion for me. Thank you Coursera for providing such a beautiful, wonderful platform for education. Faculties are skilled and interact lucidly. Again Thank you John Hopkins University and everyone associated with it in making these course a successful one.
par Deleted A•
Sep 06, 2018
I think this course is really suitable for beginners like me, who have no concept of Git, Github and don't know what data science are doing roughly. Maybe for some experienced learns this is trival, but no one would be annoyed by it since they can quickly pass this context and turn to next course.
par Ravi V•
Aug 23, 2017
This course helped me a lot in getting the basic understanding on the data science and necessary tools like R, Rstudio, Git & Github. Now I found myself confident enough to pursue this journey of becoming a data science. Thanks to respective professors and Coursera. Looking forward to learn a lot.
par Cody W•
Jan 16, 2017
Good introduction to the specialization. It might be a little basic if you already have a lot of programming background, but it's nice to have the foundation in place before diving into the nuts and bolts of the software. Does a good job of gently introducing the user to Rstudio, git, and github.
par Felix N•
Nov 08, 2018
Very good overview of the basic concepts and tools required to delve into the world of Data Science. Explanations are easy to understand, lectures are easy to follow. There is far more detail and information involved regarding Git and R in general but are not necessary to complete this course.
par SARI R•
Oct 22, 2018
A very useful course with a lot to learn about the basics of programming and data analysis. I have learned a lot of things and also this course has enhanced my confidence level to a higher level. Thank you coursera and John Hopkins University for providing such a wonderful opportunity to all.
par Karen L•
Nov 08, 2018
This was my first experience taking a coursera course. I was impressed with the thorough and well thought out content. The course material was easy to follow and it was easy to stay on track. This was one of the best virtual classes I have attended. I am looking forward to the other courses!
par Esteban A F•
Jun 06, 2020
Un curso muy bueno para aquellas personas que no hayan trabajado antes con R o con RStudio. Abarca temas basicos pero fundamentales para empezar a trabajar con R y GitHub. Las lecturas no son muy extensas y estan bien explicadas, lo que facilita la comprension por parte de los estudiantes.
par Rolin M•
Aug 04, 2017
Thorough course introducing all practices related do data science.
A bit overwhelming but I mostly saw it as a lexicon of some kind; a resource to use again and again during the certification.
Hates off to the speakers who made a great job in terms of pedagogy in all video.
Max, form France.
par Rohit P•
Jan 28, 2020
A very balanced and quick course to introduced R, R-studio, Github and other tools for data analysis. Also, the examples and methods of communicating critical terms are impressive and are forever etched in my memory. As a trainer myself, I will do my best to employ these in my workshops.
par David B•
Jul 25, 2018
Good foundation concepts for what will be required in DS according to the instructors. Good start point and presents basic challenges to getting you set up for the rest of the certification. Other courses will be required for more breadth and depth of concepts. Very good introduction.
par Donna O•
May 19, 2020
It is a nice course which smoothly familiarize a novice data science learner to the nature and tools of their job. Although I prefer it to be taught by a real instructor instead of a robot, apart from that everything was designed carefully to introduce data science toolbox to people.
par Ricardo J d S•
Dec 17, 2018
Achei de grande valia, no meu caso, especificamente, por me colocar novamente em contato com a parte mais técnica da TI - venho desempenhando papéis gerenciais a algum tempo e tinha certo receio de alterar a configuração da minha máquina para ser um "laboratório" de ciência de dados.
par Farkhadov Z•
Aug 08, 2016
Good course for begginers like me. All information is provided very simple and it's easy to understand. Also involves srudents not only looking videos but offer books. In addition you will need to search some information yourself to complete some tasks.
Thanks for this great course.
par VEERA V•
Dec 08, 2019
Even though it is a starter course to the specialization learned so many new things like amazon polly which is being used to generate these videos, R-markdown and how important is it to produce reproducible research.
A must take course for any data science aspirant
par Ting L•
Aug 24, 2018
It's a great course for beginners. I had little knowledge about data science. I didn't even know what was R and GIt. After taking this course, I had a preliminary understanding of them. If anyone wants to learn data science without any experience, this one can be your start point!
par Tristan I•
Jan 17, 2020
All the information felt applicable to my current role. The main thing I gained from this course is that I feel more confident in the tools at my disposal as a data analyst. Additionally I learned about tools I had never heard of & how to utilize them, and for that I'm thankful!
par Dominic C•
Apr 25, 2016
Great way to learn R and become familiar with how to use it. As a developer with an understanding of Python, Java, C and C++ I could quickly see how to use R, how to extend it and start working with it today. Very good use of supporting tools like Swirl to assist with teaching.
par Kaushal C•
Jun 11, 2020
The course provides a good introduction to the necessary toolbox required. It provides introduction to the Rstudio interface and Github version control system. The course helped me gain a lot of knowledge regarding Data Scientist toolbox, especially the version control system.
par Michael S•
Feb 20, 2018
I found this course to be effective at getting the student to recognize the baseline set of tools, skills and behaviors expected in courses 2-10. Moreover, none of said tools, skills or behaviors fall outside the confines of typical and/or "in demand" experience. Nice work!