May 03, 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.
Feb 02, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
교육 기관: 현 허•
Mar 03, 2018
I really really loved this course. Some of courses before were outdated because there are lots of changes in packages or others. However, materials in this course were not changed that much.
교육 기관: Vyasraj V•
Nov 26, 2017
A lot of insight and practical knowledge of cleaning data that is available in many places in the Internet. I loved this course and it took me 2 tries to pass the peer graded assignment. ;)
교육 기관: Anna M D C•
Jan 02, 2019
It was pretty hard for someone like me who has a weakness in programming but it provided sufficient exposure and tasks for me to learn within my capabilities. I did enjoy its challenges.
교육 기관: Edwin R V C•
Mar 07, 2016
Excellent course. It helps to complement the knowledge of data analysis. The project was quite interesting and illustrative, especially considering that they were real experimental data.
교육 기관: Vincent B•
Nov 05, 2017
Very good course! It is a topic which is very often underestimated and we all need to learn to get more productive on this, as most of the time is spend on it in the "real world".
교육 기관: Gianmarco P•
May 03, 2020
Very well done. Clear example and balanced explanation. Big advantage if you spend more time looking at the suggested readings. I found usefullpeer- review thanks to other students.
교육 기관: Balaji P•
Feb 04, 2018
The course is an excellent introduction to the dplyr package and string manipulation in r. I thought the assignment at the end of the course was a little vague and hard to understand
교육 기관: B S•
Nov 14, 2017
Great course if you are working with R. I learned how to load data in R and various handy features (plyr, dplyr, lubridate packages) to clean data before starting the data analysis.
교육 기관: BOUZENNOUNE Z E•
Mar 03, 2018
Amazing, you get to see almost every aspect of data science.
It is true that you won't get deeepeeeer, but this course allow you to not fear any kind of data science. That's amazing.
교육 기관: Andrew B•
Oct 16, 2017
This course is very enlightening. The techniques demonstrated in this course are critical for gathering raw data from various sources and turning it into useful data for analysis.
교육 기관: Kelly S•
May 22, 2019
I really liked this course and believe that my work, although seemingly noob-ish, will get much better as I see others works from the peer review and examples noted in the lessons.
교육 기관: Sudhin K B•
Mar 17, 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.
교육 기관: Charles K•
Feb 06, 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.
교육 기관: John A R B•
Sep 22, 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.
교육 기관: Eugene K•
Jan 08, 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.
교육 기관: Mohammad A•
Jun 16, 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.
교육 기관: João F•
Oct 17, 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.
교육 기관: Amsalu B B•
May 23, 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.
교육 기관: Jonathan D B•
Feb 01, 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
교육 기관: Luis E B P•
Jan 08, 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.
교육 기관: Joyce•
Aug 26, 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.
교육 기관: Christopher R•
Feb 02, 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.
교육 기관: Satish V•
Jul 22, 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.
교육 기관: Sreemoyee M•
Jan 15, 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.
교육 기관: Jorge B S•
Aug 06, 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.