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.
por 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.
por 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.
por 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!
por 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.
por 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.
por 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.
por Cesar P•
Aug 03, 2020
I wish there was assistance from the instruction in case we come into problems. I did find a lot of written assistance, but in case of an issue I am unable to solve then I will need an instructor available that will go over the issue with me. I do not know if that is already available.
por 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.
por Donald M•
Sep 17, 2020
It is an excellent course to get started in the world of data science.
All the steps well explained without a doubt.
The course has an excellent organization.
I am totally satisfied and will continue with the courses that follow.
Thanks to the instructors for such an excellent course
por 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.
por 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.
por 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.
por 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
por 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!
por 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!
por David L M•
Aug 16, 2020
Good starting point for starting to learn data science. Short, practical course on definitions and tools for data science. I knew a little bit about R and RStudio (but not much) and didn't know anything about Git and Git Hub, and this helped me a lot to know these tools better.
por 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.
por Rodrigo E•
Oct 23, 2020
I would prefer more courses with this format, videos and the reading section with exactly the same content, I have found that is better to read so you can go back to previous paragraphs if you didn't understand something. Both things are pretty good videos and reading section.
por 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.
por 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!
por Prithvi M•
Mar 11, 2020
Great course to get started with data science using R as primary language. Good data practices are encouraged and use of GitHub for version control gives additional confidence to anyone wishing to preserve their work that leads them up to the solution to the problem at hand.
por Francisco M R O•
Aug 27, 2018
It's an excellent introductory course for the specialization, I have recommended this course to a friend because I have found the content pretty useful. I will continue with the other courses of the specialization and I'm very grateful to have this opportunity from Coursera.
por Oyetunde A O•
Aug 13, 2017
This is a nice course and well taught by all facilities made available by the facilitators. As soon as am financially able to start to finish from where I stopped, I will activate my remaining course left to roundup Data Science Specialization.
I really appreciate. Thank you.
por Peres R B•
Apr 03, 2016
Basic course introducing the minimum tools to start your journey in data science. The course was very important for me to get up to speed with Git and GitHub. All the information was given in a concise and objective way, yet covered all basic important points of such tools.
por Suryadeep D•
Mar 17, 2016
Might look trivial at first glance to more experienced users, but was very much essential for a complete beginner like me. Gives a nice overview of a somewhat overwhelming (and sometimes intimidating) field and equips you with the basic tools necessary (like how to use git).