NK
4.0Reviewed May 18, 2020
The 'cleaning data' part was explained pretty well... I do feel he could've gone into more detail for the 'gathering data' part- especially the webscraping part. Other than that, great course!
Getting and Cleaning Data
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.
Status: File Management
Status: Data Cleansing
Course20 hours
Featured reviews
WC
5.0Reviewed Oct 31, 2016
This course is amazing! I have spent the majority of my time in R merely doing analytics. This course taught me the tools needed to go out and grab the data that I need for those analytics.
VV
5.0Reviewed Nov 25, 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. ;)
NA
5.0Reviewed Jun 7, 2020
A very useful course. The audio quality of some lectures (especially those by the main instructor) was not good. This course completes the sister course of R programming and they work together.
HS
5.0Reviewed May 2, 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.
AB
5.0Reviewed Oct 15, 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.
DH
5.0Reviewed Feb 1, 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.
XX
4.0Reviewed Aug 14, 2018
The Swirl practice part is great! But there is a big gap between what we learned from video/swirl and the course project! The project is much harder than what I learn from the course.
AT
4.0Reviewed Nov 19, 2017
Very interesting and enjoyed doing the Assignment. but the assignment instructions are not clear.A lot of time was wasted trying to figure out what data is what are what are we interested in.
AG
4.0Reviewed May 7, 2020
The course was very helpful & guided but since I don't have a strong coding background I felt myself getting lost often. It would be really helpful if there is some guidance in assignments.
SB
5.0Reviewed Mar 16, 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.
RR
4.0Reviewed Jul 9, 2017
I found the last project insufficiently explained. I was struggling in understanding what the task is. A bit more clear task description (as in Course 2) would be really appreciated.