Category Archives: Data Science

The Ultimate Collection of Data Science Links

How to Start Learning to Code in R Right Now

Ready to jump right in?

R basics.

swirlstats.com/students.html Learn R, In R!

codeschool.com/courses/try-r

datacamp.com/courses/free-introduction-to-r

LeaRning Path in R

Ready for the deep end?

Some free, some not.

https://www.mastersindatascience.org/ <— Compare curriculums and find a program

udemy.com/courses/search/?ref=home&q=r+programming

coursera.org/courses?categories=economics,stats&query=r

lynda.com/R-tutorials/R-Statistics-Essential-Training/142447-2.html

udacity.com/courses/data-science

intellipaat.com/data-scientist-course-training/

springboard.com/workshops/data-science <— One-on-one mentorships!

Bonus Links!

Free R Programming Books and PDFs

The Elements of Data Analytic Style

A Growing, Searchable, Visual Board of Data Science Links 

http://emiliehwolf.dropmark.com/427669 ←

 

Subsetting, Sorting, and Summarizing Data in R

More practice for getting and cleaning data in R… > set.seed(13435) > X <- data.frame(“var1″=sample(1:5), “var2″=sample(6:10),”var3″=sample(11:15)) > X var1 var2 var3 1 2 8 15 2 3 7 12 3 5 6 14 4 1 10 11 5 4 9 13 > X <- X[sample(1:5),] ##Resampling of all 5 rows > X var1 var2 var3…

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Swirl Cliffnotes – Getting and Cleaning Data in R – dplyr

This post contains R programming code from my study and practice. If you stumbled onto this page in a search, I hope you find my “Swirl Cliff-notes” helpful. Manipulating CRAN Download Data with dplyr Colorful Command List with Notes > library(dplyr) ##Include dplyr package and it’s 5 “verb” functions: select(), filter(), arrange(), mutate(), and summarize() >…

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Example of Reading XML Files into R

I’m learning how to get and clean data, and this is my first time playing with XML files in R programming. In the following code, I succeeded in downloading an XML file, parsing it, accessing it’s variables and nodes, and converting it to a list and a data frame. In the beginning, I was hoping…

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