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.
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: Anastasia T•
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
교육 기관: Cristóbal A•
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
교육 기관: Suryadipta D•
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.
교육 기관: Steven C•
Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.
교육 기관: Peter•
Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R
교육 기관: Vivek G•
Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.
교육 기관: Vipin J•
A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.
교육 기관: Philip S•
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.
교육 기관: Matheus L N•
was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying
교육 기관: Ayush J•
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•
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•
Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data
교육 기관: Medha B•
Really great course and i feel a necessary one as it connects and covers many points of the previous 2 courses.
교육 기관: 坂本幹次•
the course provide useful functions and methods and tell us why we should use them in a way easy to understand.
교육 기관: 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.
교육 기관: Thomas G•
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•
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•
Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!
교육 기관: VIVEK R•
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•
Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o
교육 기관: Ritayan G•
At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.
교육 기관: Deyban P•
Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".
교육 기관: Damian•
Take it twice if needed, do not go pass this point until the science behind this course is well understood.
교육 기관: ZAMI K•
If you really want to learn, there is no better option than these courses of Data Science Specialization.,
교육 기관: Michael S•
Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.