Learning Tools: Learn R with Data Camp

I recently discovered DataCamp, an online tool for learning R.  Courses are organized to get users familiar with R before moving to working with data in R (cleaning, manipulation, and analysis)3281139507_31ca7ceedd_o.  The following courses are estimated to require about 100 hours to complete.  The modules are web-based, so downloading R or working with R from the beginning is not necessary.

DataCamp is a subscription based enterprise: $25 a month to become proficient in a pretty high powered tool like R is a steal, if you ask me.  I think it might be useful for enterprising graduate students wanting to add another skill to their toolkit.

Step 1: Get to Know R
-Introduction to R
-Introduction to R (beta)
-Intermediate R

Step 2: Manipulate Your Data
-Data Manipulation with dplyr
-Data Analysis in R, the data.table Way

Step 3: Data Visualization with R
-Data Visualization in R with ggvis
-Reporting with R Markdown

Step 4: Statistics with R
-Introduction to Statistics with R
-Introduction to Machine Learning

Step 5: Big Data with R
-Big Data Analysis with Revolution R Enterprise

Step 6: Electives
-R for SAS, SPSS, STATA users
-How to work with Quandl in R
-Kaggle R Tutorial on Machine Learning


Author: Jessica Bishop-Royse

Jessica Bishop-Royse is the SSRC’s Senior Research Methodologist. Her areas of interest include: health disparities, demography, crime, methods, and statistics. She often finds herself navigating the fields of sociology, demography, epidemiology, medicine, public health, and policy. She was broadly trained in data collection, Stata, quantitative research methodology, as well as statistics. She has experience with multi-level analyses, survival analyses, and multivariate regression. Outside of the work context, Jessi is interested in writing, reading, travel, photography, and sport.

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