The Data Scientist’s Toolbox

I receive enough step by step information to start something new.

However, you will need to spend more time in CLI and GitHub by looking for information in the forum or googling step by step procedures.

very helpful..teach you step by step There are some typographical errors in the quizzes and the english subtitles.

Excellent course that covers the basics in a very step by step manner.

Good introduction Excellent instruction, step by step coverage of topic in easy to understand terms.

Yet, everything is really presented step by step to make sure that all participants install correctly all tools needed for the further classes included in the specialization.

Good, but would like a step by step walkthrough for MAC/Windows when setting up the final assignment to ensure everything is correct.

I took me step by step, just what I needed since I do not have any previous education in statistics and programming.

It gives the firs tools for data analysis and provides the first tools and how to use them step by step Elementary So far this course is given at a pace that is just perfect.

Walks you step by step getting you setup and familiar with the core software.

It could easily be eliminated Very easy going, but I think week 3 has much information, maybe a step by step toturial might help.

But the step by step instructiona made it easy for me to complete the course succefully.

Should be improved Good general overview and introduction to the command line interface, Git and GitHub.

great course, hope professors talks more about github command line operations.

I appreciated the time taken to offer an introduction to the command line, which was focussed on the immediate commands needed to continue with this course.

Many other data science courses either overlook any kind of command line tuition, or they point you to an overwhelmingly large other tutorial on the subject which would take you 3 weeks to complete.

However, I was not able to co relate the Command Line Interface with the R console after installation.

Very useful, the depth of information was perfect for an introduction to the course This course provide a good introduction to github , Rstudio and command line interface.it also gives a information about different ways to analyse data.

Take your time and do the recommended reading and tutorials especially if you are new to Command Line Interface (CLI) Brilliant prep course for what to come from equally well prepared lecturers!

It is also obsessed with command line interfaces.

Love the exposure to Command Line Interface (CLI), Git, Gitbash and R. Will recommend it to anyone that wants a career in any computer/mathematics field.

Although I understand some may need it, the command line course was pretty basic.

The problem was having to work primarily in the command line which provides limited feedback.

Being a developer who has used some of the tools in this toolbox (Git, GitHub, Command Line) this intro really glosses over tools that most non developers won't understand.

Probably a good course if you aren't terribly familiar with GIT or some form of version control.

I could able to gain the basic knowledge & ideas about tools & questions Data Analysts work with, then could also get practical understanding about the sharing & version control tools.Looking Forward for other Courses.

I would have appreciated more practical experience linking Git and GitHub, as that is critical for version control of code.

You can know about Version Control and Tools like R - Studio.

Great course to get started with R Studio and Version control that actually makes sense.

The git/github version control linking with R/Rstudio is the best thing I got from this caourse.

Nice course to get started in the path to data science with R the course omits some important things like how to download MikTex and how to use it to open an rmd file Learned a lot of really useful stuff about version control with GitHub that I had not encountered in my PhD training , but that seems crucial for industry.

Interesting to learn about version control and utilising Github, which I am sure will be valuable in the future Instructive, well explained.

Good A good introduction to data concepts and the use of version control for projects.

It would have been helpful to have more context or examples for the modules on version control and R Markdown.

and the tools like rstudio and version control is good to know coz it will be used most of the time in the life of a data analyst and data scientist.

Information on Command Line programming and version control with Git and GitHub set-up proving to be useful.

Very bad course so far.

What I like (so far) is that you have to search for information via internet and by practising your knowledge in GIT and GIThub you can discover what you have learned or what should improve.

Great experience so far, this is my first time in an online course.

I have just started the course but so far the videos and education background references are exceptional.

So far so good, Git was a bit difficult to get going but I'm excited to continue with the specialization.

g Pretty light weight so far, but I certainly understand it's targeted at a broad range of people so the vanilla material is probably a chore for some.

It is a good course and gives a very nice intro to the tools for R. This is a good intro to programming so far.

But I'm very satisfied with the video lecture, and I find it very interesting so far.

So far it is great...just starting week two I ran into a few unexplained issues with final project but a very good course overall.

课程设置得很合理，就是有些细节开展得不够。 Too easy So far this course is pretty amazing.

It is an excellent experience so far Great way to star on the subject, complemented by the book "The elements of data analytic style".Good Job Great intro to the specialization.

mmhmm An excellent introduction for key components of using R Muy bueno el curso So far I'm really enjoying it an find that it is informative Nice and interactive Course Great Introduction Very well explained lectures about key tools used in data science.

very good starting point for people does not have any background in stats and R programming Ce cours est une présentation complete des outils à utiliser et des notions abordées dans le domaine data scientist.

very basic Good starting point for everyone!

It serves as a good starting point for someone getting into the field.

Really good starting point for R Good introductory course.

A good starting point for beginner.

Good starting point for the Data Science This has been a great introduction to the Data Science world.

A good starting point for starting the Data Science carrier!

Good starting point for beginners to learn about R. Basic experience with git is a must although it is possible for complete beginners.

Highly recommended.

Highly Recommended.

Highly recommended for first time learners of R. The git and GitHub section is not very clear....

Highly recommended if you are a beginner.

Short but so much descriptive with a constant effort to deliver high quality teaching with easy understanding language and concepts!It's highly recommended to those who are new to Data Science, and want to make their Base strong( like me) Good overview of the specialization.

It is highly recommended for all who are interested in advancing their careers with Data.

highly recommended for newbs in any kind of development, otherwise waste of time.

Highly recommended Excellent course.

Buen curso sobre la iniciación a la ciencia de datos, las bases y las herramientas que se emplean para este mundo.

awesome course structure and proper way to begin data science journey with this course El curso muestra un panorama general de la ciencia de datos.

Brinda una introducción a la ciencia de datos (Data Science) y las capacidades de este campo.

Pretty good to learn about Git & Github Great introduction to the program!

Good basic foundation for learning how to use online resources like git & github Good course is pretty good but the accent used by instructer should be improved Es un curso para aprender a usar R y RStudio, es útil para poder der mas profesional con tu trabajo, no tiene ejemplos muy desarrollados de la estadística en R pero sigue siendo un buen curso si nunca tuviste una base.

The Git & Github part got me little confusing , a little detailed explanation with live examples would have really helped.

Was a good intro to Git & Github version control through CLI.

Did not like the peer review section.

I just went from showing that I did not pass the peer review section and in the next second was greeted by a big green Course Completion Certificate.

Is this a real course for a data scientist just installing shit and a peer reviewing for that screenshot and forking all repos ...very bad not worth to be with rest course in specialization A really nice overview of tools used in Data Science!

When I contacted the coursera support and asked for help in getting peer reviews they made a change and all my progress was lost.

Peer review was my first experience of this - love the idea!

Good to get an introduction to the process of submitting peer reviewed assignments for future courses.

It is very helpful course Good assignment practice Best courses by coursera well organized, and the peer review is easier than I expected.

Gives you the tools you need to learn the rest of the courses, by itself is completely useless Pretty easy and straight froward, for someone who is already familiar with Programming Editors, and Git shouldn't take 2 hours for him to finish this course including its project, so I guess it's an exciting start for someone who is new for Programming.

infact direct teaching by the instructors is being a good experience rather than using this kind of technologyi reas all the course content, without listening by recorded speech I was already familiar with R and RStudio and found the portion on using Git/GitHub particularly helpful.

I was already familiar with the stuff taught for the most part.

I found the way in which John Hopkins present the course, very valuable.

Perfect start to a great course.This has to be the best learning experience everMy best regards to the team from John Hopkins great introduction It's a very good course for beginners.

Thanks coursera.org and John Hopkins University.

Thanks Coursera and JOHN HOPKINS University...... It`s too introductory.

Consecutive course to compliment this would be R programming and Data cleansing and exploratory analysis as in John Hopkins Data Science Specialization Very good.

Thank you coursera and John Hopkins University for providing such a wonderful opportunity to all.

Nos da luces sobre las herramientas que deberíamos usar para optimizar nuestro trabajo (en Big Data) tanto a nivel individual como colaborativo.

Gran Curso te da los conocimiento básicos y las herramientas necesarias para empezar!

Debo decir como profesional de IT que me ha sorprendido cómo empieza desde cero explicando todo lo necesario para entender e instalar las herramientas informáticas necesarias para el curso con un nivel casi de principiante.

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.