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.
See the videos for general presentation, but use the energy on the excersizes.
par Kyriaki R
•10 oct. 2022
The content was very helpful! The only problem was that there is an echo in all the videos, which made them a bit hard to follow even with head phones.
par Adler C
•27 juin 2020
Great course. The only thing that needs improvement are the quizzes questions, as some were not updated and required me to consult the forums to solve.
par Connor G
•5 août 2017
Pretty good for the most part. I just found Week 2 to be a bit redundant in comparison to Week 1 and the Course Project instructions to be a bit vague.
par Saumya T
•27 nov. 2016
A lot of self learning is needed in this course. Be prepared to search for function documentations and stack exchange. Quite frustrating but worth it.
par smaudet
•4 juin 2016
Decent course for learning how to navigate data sets in R. Not always obvious what the intent was, but it was good for learning how R operators think.
par Juan A D
•4 déc. 2020
Excelente curso. Los examenes practicos son un poco complicados, sobre todo para quienes aun son nuevos y estan desarrollando sus conocimientos en R
par Jun z
•26 févr. 2016
The course is excellent. Only problem is, for me, it is very hard to understand the meaning of the final assignment. The description is too simple.
par CLAUDIA R R
•10 févr. 2021
Excelente course!! The only problem I experienced was with the app, I couldn't check my grades correctly and that delayed my grade for a few days.
par Deleted A
•18 oct. 2016
clearly this course gives important lesson. but i think lots of materials are overlaped with previous course. final assignment is really helpful.
par Mandy S
•18 mai 2017
The course begins to delve more into R Programming, which some is beyond my scope of knowledge. Maybe offer more Swirl before the assignment.
par Nicolaas K
•4 avr. 2017
Good intro course to learning about ways of getting data into R. I think the final assignment's instructions could be a bit clearer though.
par Arnav D
•2 janv. 2017
Could be more hands on! for example interactive tutorial where the instructor actually using the functions to demonstrate how things work.
par Jennifer L F W
•2 janv. 2021
Quite good for me who has just enter this field. Easy understanding lecture videos but the course project is hard for me as a beginner.
par Johnnery A
•22 sept. 2019
Los profesores debe explicar con mas detalle los temas. Pienso que hay una brecha importante entre los temas del curso y los proyectos
par Jose L S V
•1 mars 2021
Muy buen curso, pero a veces batallas con las tareas. Toma más tiempo del que se supone debería. Aún así, lo recomiendo ampliamente.
par harish s
•26 déc. 2020
good course. swirl rules!. I think the unique part of this course is the assignments and course project, they are quite challenging.
par kipchumba B
•28 févr. 2021
It's a nice course. Prior to starting this course, I knew nothing about getting let alone cleaning data. thanks to JHU and coursera
par Ricardo M
•8 nov. 2017
Assigments description should have a clearer description. In some cases it's not absolutely clear what is intended to be delivered
par Karolina W
•12 juin 2016
Good course, learned a lot especially through the quizzes and the course project, but slides/presentations could be more engaging.
par Hernan S
•15 avr. 2016
Fun and interesting. Won't remember all the ways to get and clean data, but it's good to review them so I know what's possible.
par C. T M
•27 janv. 2016
it's a little rapid fire, but the exercises are excellent for applying the firehose of functions and concepts from the lecture
par Irmgard T
•20 juin 2017
Good course, though I found that the lecture content could have matched the knowledge required for the tasks/projects better.
par Md F A
•23 mai 2016
The demanding complexity for 'programming-project( final )' should offer little more instructional support on lecture slides.
par Alfredo A
•12 juin 2017
Great introductory course in how to use R to get data from different sources and leave record of this step of data analysis.
par José I F J
•17 nov. 2016
It is a very good course, but it does not follow the same level of proposed work as in the previous course (R Programming).