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The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック



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....
Foundational tools
Introductory course



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.


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.


The Data Scientist’s Toolbox: 4826 - 4850 / 6,791 レビュー

by Zili D


Great course. But sometimes it's a little bit difficult to follow, because the instructor just listed those Git commands without actually demonstrating how to use Git step by step.

by chad


I was already familiar with the stuff taught for the most part. I think they should do more tutorials on how to install and do things though for those not experiecned enough in it.

by James C


Good introductory course pointing to background reading materials and providing context for following courses as well as supporting the installation of the required software tools.

by fisica f


E​s un curso basico para entrar en el mundo "Data Science" es imprecindible complementar este curso inicial con otros , sobre todo por que se necesita mas conocimiento con Rstudio

by Renzzo S S


Excellent course to start from zero! if you have some knowlegde or a little of selflearning you can only take the weeks that has theory, others are how to install R and its tools.

by J. E M


Seemed simple, but had to figure out some things that weren't explicit in the videos for the exams. Helped in my learning, but frustrating for a very pure beginner in programming.

by Pinko W


Professors could extend the videos by more examples and illustration for deeper understandings of the students. The tests could cover more items and deeper contents of the course.

by Subhankar J


A little more could've been explained about Github, overall the course was highly comprehensive with regular quizzes and assignments helping me to identify my mistakes and on them

by Jonathan R


I would like this course to be longer. To have more practices and to have at least one lab with data for running some simple functions. Other than that I think is a good course.

by Gavin D


Practical to do if you are continuing with specialization. Ensures all students have the correct setup, which is important. I'm not sure how useful it would be on its own though.

by John C Z J


Gives a great foundational overview of what Data Science is, as well as getting your technical environment set up for the future classes in the Data Science Specialization path.

by Deepsagar V


A great course content by using machine to teach you. However it is little fast and few things got unclear. Especially Rstudio and Gitbash. Need to study it from other sources.

by Sagar P


I have expected that this course would have given me the basics needed for my data science specialization I strongly recommend a new optional course which gives all the basics.

by Ahmed S


Very good introduction to Data Science and I found it highly useful and insightful.

The main issue I faced is that problem statements are not always clear for programming tasks

by Juan M F M


El curso me gustó, considero que fue una buena aproximación hacia el mundo de los datos y sus herramientas. Espero seguir aprendiendo en el transcurso de los siguientes cursos.

by Ruben D W


Good introductory course, but could offer a bit more of a challenge, with actual (basic) problems. Learned about R, although not programming, and more about GitBash and GitHub.

by LI D


It's fairly good! Concise intro to DS. 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.

by Rachel K


I was able to set all the programs up that I will need to program in R, but I still feel like I don't really know the basic overview of what I will be doing in this specialty.

by Philip W


Useful introduction to the world. Could have been a bit longer and gone into more detail about a variety of other factors is my only comment, but overall pretty happy with it.

by ramanathan l


This is a fantastic course, being a person who already works with loads of data I can surely stand by the statement that "This is a fantastic base line to all your data needs"

by Vishal M


Could provide live demo of creating markdown file & pushing into the remote repository.

Overall the learning was awesome. Was a good guide to go forward to subsequent courses.

by Greg S


Straightforward (although I am already familiar with markdown and git, so that helps). Lots of good groundwork here though, setting the scene for the next round of material

by Shaik M U


Coursera has changed the way of learning,Yes anyone can learn anything and everything at the comfort of their own time and place......

Thanks Team COURSERA....Keep Going....

by Brandon B


It's a good introduction to data science. However, without prior knowledge of statistics, programming, and research methods the course would be fairly difficult to follow.

by sharraf t


the robotic voice got a bit annoying towards the end of the course, but overall i like the course and found it informative, cant wait to continue with the specialization .