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.
1 de fev de 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.
por Sudhin B•
17 de mar de 2018
So knowledgeable and interesting course. I have learned much about data cleaning and getting from different sources. Finally thanks to coursera team for giving us the opportunity.
por Charles K•
6 de fev de 2016
This is a very well put together course. It teaches the basics of data cleansing and how to setup data for modeling--by far the most foundational technical aspect of data analysis.
por John B•
22 de set de 2018
How to get a clean the data is a very important knowledge for the future data scientist and data analyst. For me this course was very important I very recommend take this course.
por Eugene K•
7 de jan de 2018
Great course on tidy data. Very useful in understanding how to use different types of data (csv, XML, API) and how to manipulate the data so that you can perform analyses on it.
por Mohammad A•
16 de jun de 2018
Excellent course, and quizzes and lecture were very teaching. But some materials needs to be updated up to date , like subsetting columns in data.table the slides were absolute.
por João F•
17 de out de 2017
Great ready-to-use skills for common tasks of a Data Scientist. Lays the foundations for further self-development in the topics taught. Heavy on R. Very challenging assignments.
por Amsalu B B•
23 de mai de 2020
This specific course is good but when it comes to the assignments, it's more confused than the course work and the description of the assignment is unclear too, at least to me.
por Jonathan D B•
1 de fev de 2016
really thorough class... come prepared to learn and be patient as your going to get your hands pretty dirty reading data, cleaning it and manipulating the result sets with R
por Luis E B P•
8 de jan de 2019
I think this course is really good, the instructors give you a lot of tools to handle data bases! I would recomend this course to any person that wants to learn about this.
26 de ago de 2017
Super useful, there are so many raw data in the practical world, which are needed to be cleaned, so that the analysts and other people can easily get information from data.
por Christopher R•
2 de fev de 2017
I use so much of what I've learned here on a day to day basis! Using the suite of functions from ggplot, dplyr, plyr and others has greatly reduced my data management time.
por Satish V•
22 de jul de 2018
This course was very useful, informative and interesting. However, I did feel that the course assignment seems to be, perhaps purposefully, but a bit unnecessarily vague.
por Anand R•
29 de jul de 2020
Course was very useful and learnt about how to handle the data especially raw data and also fetching them with various aspects. Thanks Jeff and team and also coursera
por Muhammad J K•
17 de fev de 2022
I have enjoyed the course and course leaning, teching methode was very very nice. I got success and I am very happy.
Thanks for study help (Coursera Study plateform).
por Sreemoyee M•
15 de jan de 2020
The challenging quizzes and assignments are a main reason why this course is so great! This course truly ensures that you truly understand and implement the videos.
por Jorge B S•
6 de ago de 2019
I have found this course very useful to gain a nice overview of the main tools to obtain and clean data. Moreover, for me it was challenging, which is always a plus.
por Diego T B•
7 de nov de 2017
Very interesting. Global view to process Data and try to explain with very useful techniques the processing or cleaning data with regular expressions. I enjoyed it!
por Johann R•
28 de mai de 2017
A great course in which many important concepts and techniques are covered. It also covers many handy tools/libraries that one can use to clean and manipulate data.
por Mauro S d S•
5 de mar de 2017
Very intense and covering a lot of material - After about an year from having the course and with a different understanding, this is probably the course to revisit.
por JOHN J O G•
25 de jan de 2017
Muy buen curso y con buena evaluación de los temas mediante asignaciones varias con estudios en el mundo real que lo preparan para estar analizando trabajos reales
por Dany M•
24 de out de 2017
Great course! I loved it. It's just informal enough and rigorous enough. The pace is enjoyable and the experience of the instructor carries well.
por Nimalka W•
13 de fev de 2019
Useful general course on tidying data and learning to import into R from various sources. Doesn't get into sequencing data import, but looks at other common ones
por Ayas S•
8 de nov de 2018
This course was very intense and not easy but over all, after doing all the work! Oh man I feel I have way more confidence in my R skills and Data understanding.
por Hatem K•
5 de dez de 2016
Excellent course. You will learn about concepts of 'clean' or tidy data and apply it in R. One of the most important, yet often ignored, aspects of data science.
por Kwun H N•
24 de dez de 2017
It is an excellent exercise to work on data cleaning and pre-processing. Also give me the great chance to read through the paper by Hadley Wickham on Tidy Data.