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