“An expert is one who knows more and more about less and less until he knows absolutely everything about nothing.”

Getting and Cleaning Data...free online course from Johns Hopkins University




About this course: 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.


Taught by:  

  Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health

Taught by: 

   Jeff Leek, Associate Professor, Biostatistics
Bloomberg School of Public Health

Taught by:

   Brian Caffo, Professor, Biostatistics
Bloomberg School of Public Health

Basic InfoCourse 3 of 10 in the Data Science Specialization.
LanguageEnglishSubtitles: Russian, Chinese (Simplified)
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.4See what learners said

1 comments:

  1. Hi this is good to see that you are providing such great service and you giveing it for free. I love type of blogs that understand the value of providing a quality information. Thanks for sharing it very useful for Start Your Own Cleaning Business .   
    Cleaning Courses Online
    Start Cleaning Business Uk
    Cleaning Short Courses
    Cleaning Certificate

    ReplyDelete

About Blogger:

Hi,I,m Basim from Canada I,m physician and I,m interested in clinical research feild and web development.you are more welcome in our professional website.all contact forwarded to basimibrahim772@yahoo.com.


Let's Get Connected: Twitter | Facebook | Google Plus| linkedin

Subscribe to us