May 03, 2020
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.
Feb 02, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
创建者 Ajinkya D•
Nov 27, 2016
Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset
创建者 KELVIN H•
Mar 25, 2018
good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.
创建者 Igor T•
Jan 08, 2017
Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!
创建者 Victor A d S P•
Dec 12, 2019
Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.
创建者 William H•
Aug 05, 2019
Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis
创建者 Bill S•
May 25, 2017
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.
创建者 Jim M•
Apr 26, 2020
The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.
创建者 Sebastian O V•
Aug 06, 2018
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
创建者 James L J J•
Dec 26, 2019
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.
创建者 xun y•
Jul 10, 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
创建者 João A P B•
Feb 25, 2017
Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.
创建者 David R•
Sep 03, 2018
Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.
创建者 Anne M•
Jan 10, 2016
Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.
创建者 Andrés H V•
Jun 28, 2020
I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.
创建者 Cathryn S•
Jan 02, 2017
A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills
创建者 FARZAD R•
Feb 26, 2017
This course is very interesting, useful and practical
I appreciate for all of efforts of my professors in this course
创建者 Pitchayen S•
Feb 15, 2017
Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.
创建者 Anastasia T•
Oct 19, 2016
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
创建者 Cristóbal A•
Apr 03, 2016
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
创建者 Suryadipta D•
Mar 28, 2018
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.
创建者 Steven C•
Mar 15, 2017
Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.
Mar 23, 2016
Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R
创建者 Vivek G•
Nov 09, 2019
Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.
创建者 vipin j•
Nov 20, 2018
A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.
创建者 Philip S•
Jul 09, 2018
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.