HS
2 mai 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.
DH
1 févr. 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.
par Thomas G
•6 juin 2020
Each quiz made me learn something new. The final assignment was just the right amount of challenge for a MOOC.
par AMY B P
•25 mai 2019
The assignment was quite challenging bu the course overall was very good. The course was structured very well.
par Marcus V M d S
•29 mai 2017
Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!
par VIVEK R
•5 juin 2016
Its really help me a lot to build up my basic concept and now data wrangling is quit bit easy for me.
Thanks :)
par William B B
•12 juin 2019
Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o
par Ritayan G
•30 mai 2020
At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.
par Deyban P
•12 oct. 2016
Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".
par Damian
•8 mai 2017
Take it twice if needed, do not go pass this point until the science behind this course is well understood.
par ZAMI K
•21 avr. 2020
If you really want to learn, there is no better option than these courses of Data Science Specialization.,
par Michael S
•26 avr. 2016
Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.
par Yasel G S
•4 août 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
par Jigar P
•29 janv. 2019
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
par Edwin L A
•31 juil. 2017
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
par Abhimanyu B
•2 janv. 2017
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
par Francisco M R O
•28 nov. 2018
This course was very good, I learned a lot of useful things about R and how processed data should look.
par Sandhya A
•23 févr. 2018
I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.
par Enlik
•6 janv. 2019
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
par Pieter v d V
•29 janv. 2018
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.
par Muhammet A
•21 avr. 2019
I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.
par Keidzh S
•12 mars 2018
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.
par Quiniou C
•16 sept. 2017
This course is very interesting, we are starting to work on how to transform dataset into tidy data.
par Rohit A
•12 juin 2019
Nice course to understand the deep insight in understanding the concept of the data cleaning in R.
par Asif M A
•18 avr. 2016
A good start for data science course. It is very essential to cleanse data before start analyzing.
par Admet Z
•7 nov. 2017
It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.
par Sravan K
•28 mai 2017
It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera