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.
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.
See the videos for general presentation, but use the energy on the excersizes.
by Matheus L N•
was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying
by ayush j•
Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.
by Ekta R•
I am very much enjoyed the course. However, a lot of dedication is required as a beginner to complete this course.
by Aman G•
Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data
by Medha B•
Really great course and i feel a necessary one as it connects and covers many points of the previous 2 courses.
the course provide useful functions and methods and tell us why we should use them in a way easy to understand.
by Francisco M•
A very demanding course. It took me more than a month to end it but It was worth the effort. I learned a lot.
by Thomas G•
Each quiz made me learn something new. The final assignment was just the right amount of challenge for a MOOC.
by AMY B P•
The assignment was quite challenging bu the course overall was very good. The course was structured very well.
by Marcus V M d S•
Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!
by VIVEK R•
Its really help me a lot to build up my basic concept and now data wrangling is quit bit easy for me.
by William B B•
Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o
by Ritayan G•
At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.
by Deyban P•
Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".
Take it twice if needed, do not go pass this point until the science behind this course is well understood.
by ZAMI K•
If you really want to learn, there is no better option than these courses of Data Science Specialization.,
by Michael S•
Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.
by Yasel G S•
This course was very important for my work. I learned so much and I want to say thanks to the professors.
by Jigar P•
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
by Edwin L A•
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
by Abhimanyu B•
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
by Francisco M R O•
This course was very good, I learned a lot of useful things about R and how processed data should look.
by Sandhya A•
I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
by Pieter v d V•
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.