HS
2 de mai de 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.
BE
25 de out de 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.
por James L J J
•26 de dez de 2019
The Value of the course is in the course projects. I found that working through them really accelerated the understanding.
por Xun Y
•10 de jul de 2017
Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.
por João A P B
•25 de fev de 2017
Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.
por David R
•3 de set de 2018
Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.
por Anne M
•10 de jan de 2016
Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.
por Andrés H V
•28 de jun de 2020
I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.
por Cathryn S
•2 de jan de 2017
A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills
por Nelson S S
•10 de nov de 2020
Excelente Curso.
Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia
por FARZAD R
•26 de fev de 2017
This course is very interesting, useful and practical
I appreciate for all of efforts of my professors in this course
por Pitchayen S
•14 de fev de 2017
Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.
por Anastasia T
•19 de out de 2016
Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.
por Cristóbal A
•2 de abr de 2016
Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.
por Suryadipta D
•28 de mar de 2018
Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.
por Steven C
•15 de mar de 2017
Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.
por Peter
•22 de mar de 2016
Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R
por Vivek G
•8 de nov de 2019
Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.
por Vipin J
•20 de nov de 2018
A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.
por Philip S
•9 de jul de 2018
Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.
por Matheus L N
•6 de jun de 2018
was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying
por ayush j
•18 de abr de 2018
Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.
por Ekta R
•27 de jun de 2017
I am very much enjoyed the course. However, a lot of dedication is required as a beginner to complete this course.
por Aman G
•15 de jun de 2017
Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data
por Medha B
•22 de set de 2020
Really great course and i feel a necessary one as it connects and covers many points of the previous 2 courses.
por 坂本幹次
•8 de set de 2020
the course provide useful functions and methods and tell us why we should use them in a way easy to understand.
por Francisco M
•12 de jul de 2020
A very demanding course. It took me more than a month to end it but It was worth the effort. I learned a lot.