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Avis et commentaires pour d'étudiants pour Les outils du scientifique des données par Université Johns-Hopkins

4.6
étoiles
29,265 évaluations
6,226 avis

À propos du cours

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Points forts
Foundational tools
(243 avis)
Introductory course
(1056 avis)

Meilleurs avis

SF

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.

LR

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.

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176 - 200 sur 6,092 Avis pour Les outils du scientifique des données

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 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.

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 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

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

Happy Learning!!

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 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.

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!

par 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.

par 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.

par 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.

par 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.

par 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).

par Andrea P

Sep 03, 2020

Excelente curso, aumentó de manera óptima mis conocimientos y resolvió todas mis dudas, ahora tengo gran parte de las herramientas para llega a ser una buena cientifica de datos y aparte de que aprendí mucho sobre el tema, pude practicar el inglés y aumentar mi vocabulario.

par AKHIL K

Apr 11, 2020

The "Data Scientist's Toolbox" offered by Johns Hopkins University is a good head start for the newbies in the field of Data Science. The course gives the brief introduction to various software used by a Data Scientist that is R, R studio, Git hub and Git (version control).