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.
교육 기관: Philip S•
Jul 09, 2018
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.
교육 기관: 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
교육 기관: 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.
교육 기관: Ekta R•
Jun 27, 2017
I am very much enjoyed the course. However, a lot of dedication is required as a beginner to complete this course.
교육 기관: Aman G•
Jun 15, 2017
Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data
교육 기관: Thomas G•
Jun 06, 2020
Each quiz made me learn something new. The final assignment was just the right amount of challenge for a MOOC.
교육 기관: Amy B P•
May 25, 2019
The assignment was quite challenging bu the course overall was very good. The course was structured very well.
교육 기관: Marcus V M d S•
May 29, 2017
Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!
교육 기관: VIVEK R•
Jun 05, 2016
Its really help me a lot to build up my basic concept and now data wrangling is quit bit easy for me.
교육 기관: William B B•
Jun 12, 2019
Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o
교육 기관: Ritayan G•
May 30, 2020
At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.
교육 기관: Deyban P•
Oct 12, 2016
Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".
교육 기관: Damjan S•
May 08, 2017
Take it twice if needed, do not go pass this point until the science behind this course is well understood.
교육 기관: Zami K•
Apr 21, 2020
If you really want to learn, there is no better option than these courses of Data Science Specialization.,
교육 기관: Michael S•
Apr 26, 2016
Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.
교육 기관: Yasel G S•
Aug 04, 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
교육 기관: Jigar P•
Jan 29, 2019
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
교육 기관: Edwin L A•
Jul 31, 2017
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
교육 기관: Abhimanyu B•
Jan 03, 2017
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
교육 기관: Francisco M R O•
Nov 28, 2018
This course was very good, I learned a lot of useful things about R and how processed data should look.
교육 기관: Sandhya A•
Feb 23, 2018
I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.
교육 기관: Enlik•
Jan 06, 2019
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
교육 기관: Pieter v d V•
Jan 29, 2018
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.
교육 기관: Muhammet A•
Apr 21, 2019
I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.
교육 기관: Keidzh S•
Mar 12, 2018
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.