Kursteilnehmer-Bewertung und -Feedback für Getting and Cleaning Data von Johns Hopkins University

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.

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!

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.

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.

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

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.

Highly recommend.

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

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.

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.

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.

This course gives an excellent introduction to the various data collection and tidying processes using R. This course is a must for any aspiring data scientist.

Great course! Very well structured and complete in the knowledge it brings both on the R language itself and in the concept of data clean up and transformation.

Interesting course with a lot of time intensive quizes. It, however, opened my eyes on how to effectively work towards clean data.

Thanks for the great courses!

It was really an enriching course. I learnt a lot about the raw data formats and tools and techniques to get the best out of that raw data. Highly recommended

Very good course. By taking it you have the opportunity to build experience with R and get used with the main codes needed to perform a data cleaning process.

Excellent course. A little bit difficult if your not used to handle matrices and vectors. Perhaps a review of the concept would be good to help new learners.

This is a major basic skill to be acquired. The course does great job at introducing various methods and makes us practice with the quizzes and assignments.

its the best course for the data science students and it will help all the student who are going to join or who want to start their career in data science.

good. however, volume of the video is very low, not audible without external speakers on some PCs. request to improvise. spoken language is also very fast.

Another great course! I'm really glad there was so much support to help me get started on the class posts. PS, I think I'm in love with the ddply function.

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.

Thank you!

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.

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.

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.

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!