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.
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.
By Mohammed A•
This is a challenging but very intersting course, I had to learn lot from the course and from the colleagues through the pairs work examination.
By Saeed A Q•
One of the best courses to learn R language. You will love and appreciate R and its approach to Data. Very concisely taught with passion and knowledge.
By Araks S•
I definitely loved this course.
My advice to anyone taking this course is to spend fare amount of time on assignments as it is the part when you learn.
By ISRAEL T L•
Such a practical course, I was able to learn about how to obtain data in a easy and useful way also using more commands to extract info from internet.
By Hernan D S P•
This is a very useful course on How to use R to prepare the data you need to analyze! highly recommended for both beginner and advanced data analysts!
By Guillaume S•
Very interesting but a bit tough and time consuming with a lot of work on your own... but that's probably how you develop real life hacking behavior!
By Han C•
Assignment difficulty is good and practical, however, I took quite a while to understand the raw data structure and the purpose of the assignment.
By Cody W•
Great introduction to scraping information from internet sources and turning complicated data into something that can be visualized and processed.
By Connie H•
Thanks for this course, it's thoughtfully planned and beginners like me were able to produce results according to the topics that challenged us.
By santiago R•
Very good course. Way more exigent than expected but I have the feeling that I got very good grounds, insights and also skills in R proggramming
By Nicolás H•
El curso es excelente, es muy claro y te da herramientas muy útiles, con mucha aplicación en otros lenguajes de programación. Muy recomendable
By Linda J C O•
Me gustó mucho este curso. Todo lo aprendido ha sido muy valioso para cualquier investigación o análisis de datos que se realice en un futuro.
By rahul g•
A very interesting and unique course, for the kind of things it helps to learn are often ignored. It brings the breadth of the theme forward.
By Jack D•
This was my first course with serious data gathering and manipulation. I found some of week 3 challenging, but overall enjoyed the learning.
By Xiaorong L•
Very good contents! But to be honest, the final course project is a bit too easy (I personally enjoyed it because it was not frustrating)...
By Daniel S•
Very informative and useful! You learn a lot specially through the (last) assignment(s)! Very happy with the course, materials and subjects.
By Adi T•
I feel that getting and cleaning data course is highly important to know since this is where 80% of the work in data science is being done.
By Alejandro B G•
WHen i took this course i though i will never apply the knwoledge in here... i was wrong, the basis of a credibly analisis is here. Thanks!
By Glenn W•
Very good course. Dr. Peng did a nice job of presenting the material. The projects and quizzes were challenging as well as educational.
By Gowtham B•
Excellent course to learn about data pre-processing techniques and data science. Really helpful, if you wish to become a data scientist.
By Jheroen P•
Very useful course. I suggest taking this course straight after R programming and before taking any other courses in the specialization.
By Ishwarya M•
The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science
By Brett M•
Really fantastic even as an experienced R user. This is helping me remould my habits and break some of the bad ones. Thank you so much!
By Sajal J•
Very good course. The end course project was also very good as it gives a good experience in loading and cleaning a real-life dataset.
By Ricardo L•
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.