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Getting and Cleaning Data に戻る

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



Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....




This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.



Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.

See the videos for general presentation, but use the energy on the excersizes.


Getting and Cleaning Data: 201 - 225 / 1,277 レビュー



good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.

by Igor T


Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!

by Victor A d S P


Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.

by William H


Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis

by Bill S


I greatly enjoyed this course and I really got a lot of hands-on practice that I can apply in a real-world work environment.

by Jim M


The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.

by Sebastian O V


Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort

by James L J J


The Value of the course is in the course projects. I found that working through them really accelerated the understanding.

by Xun Y


Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.

by João A P B


Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.

by David R


Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.

by Anne M


Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.

by Andrés H V


I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.

by Cathryn S


A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills

by Nelson S S


Excelente Curso.

Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia



This course is very interesting, useful and practical

I appreciate for all of efforts of my professors in this course

by Pitchayen S


Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.

by Anastasia T


Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.

by Cristóbal A


Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.

by Suryadipta D


Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.

by Steven C


Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.

by Peter


Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R

by Vivek G


Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.

by Vipin J


A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.

by Philip S


Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.