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.
von 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.
von 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!
von 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.
von 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
von 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.
von 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.
von Sebastian O V•
Aug 06, 2018
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
von 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.
von xun y•
Jul 10, 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
von 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.
von 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.
von 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.
von 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
von 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
von 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.
von Anastasia T•
Oct 19, 2016
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
von Cristóbal A•
Apr 03, 2016
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
von Suryadipta D•
Mar 28, 2018
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.
von 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
von Vivek G•
Nov 09, 2019
Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.
von vipin j•
Nov 20, 2018
A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.
von Philip S•
Jul 09, 2018
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.
von Matheus L N•
Jun 06, 2018
was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying
von Jha A•
Apr 18, 2018
Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.