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.
Oct 26, 2016
This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.
교육 기관: Brayan S O P•
Apr 19, 2020
It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data
교육 기관: 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
교육 기관: 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.
교육 기관: 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!
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
교육 기관: 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.
교육 기관: Sebastian O V•
Aug 06, 2018
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
교육 기관: 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.
교육 기관: xun y•
Jul 10, 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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
교육 기관: 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
교육 기관: 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.
교육 기관: Anastasia T•
Oct 19, 2016
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
교육 기관: Cristóbal A•
Apr 03, 2016
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
교육 기관: Suryadipta D•
Mar 28, 2018
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.
교육 기관: Steven C•
Mar 15, 2017
Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.
교육 기관: Peter•
Mar 23, 2016
Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R
교육 기관: Vivek G•
Nov 09, 2019
Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.
교육 기관: vipin j•
Nov 20, 2018
A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.
교육 기관: Philip S•
Jul 09, 2018
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.