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 24, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
by 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.
by JHINUK 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.
by 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!
by 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.
by 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.
by 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.
by 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.
by 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.
by 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
by 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!
by 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!
by Becca M•
Aug 31, 2018
I really appreciated the step by step through some of the very basics like downloading all the tools I'd need, using git and GitHub... things that looking around at free training are steps that are assumed and skipped and left me lost. Has built a lot of confidence to continue.
by 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.
by 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!
by 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.
by 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.
by 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.
by 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).
by Arthur D•
Apr 11, 2016
Very good introduction to data science. It gives a general overview on data and its problematics but also tips and help on how to start with the basic tools that will be needed (I haven't done any R programming and didn't have a github account so that was helpful for me).
by Anatoli K•
Mar 14, 2019
Интересно было посмотреть как работает один из лучших исследовательских университетов мира.
Кроме настройки программного обеспечения много узнал об основных принципах науки о данных.
Очень понравился пример с Хилари Клинтон. Возможно это был роковой момент в её поражении.
by BHAGAWAT M•
Jan 29, 2020
It's really enjoyable, a lot to know and a lot to discuss. The other links provided for more details are very much helpful. The feature of the discussion form is very helpful. Thanks, to Coursera and the team of Coursera for your high great work to open this platform.
by Juan C J T•
Jun 12, 2018
Muy buen curso introductorio en el que se pueden observar las herramientas necesarias para realizar análisis de datos, además de que muestran quienes son Científicos de Datos en la actualidad y qué tipo de análisis realizan, todo adquiriendo la información de internet.
by Daisuke I•
Mar 07, 2016
Setting up the environment is often the tricky part that deters people from moving into, or back into coding. This class provided me with a hand-holding needed to start coding again. I recommend this course as a kick starter for those who were on legacy environments.
by Ahmed M K•
Oct 01, 2016
What a great introduction. It needs a lot of reading and self developing to be able to do that project at the end. It's kind of difficult but you'll feel that you've really learned something that will be useful for the rest of your life. Thanks JH and Coursera staff.
by Joan S D C H•
Sep 06, 2019
Es un buen curso. te lleva de la mano pero no te da todo digerido en cierto momento debes buscar alguna solución para las tareas que te piden pues por razones de versiones ya no funciona igual.
Sin embargo el contenido temático es lo importante y me pareció perfecto.