R Programming by Johns Hopkins University

I am about to begin R Programming from Johns-Hopkins by way of Coursera! This is course 2 of 10 that I am working through on my way to becoming a Data Scientist.

In this course, I will learn how to program in R and how to use R for effective data analysis. I will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Data Science Specialization = My New Focus

I am focusing entirely on Data Science for the next year. I really liked studying HTML5, CSS, JavaScript, jQuery, SQL, C, and more, but alas I must focus. I must focus on one thing and learn to do it well. That thing is Data Science.

I recently received a scholarship that covered the $50.00 required to take The Data Scientist's Toolbox from Coursera via Johns Hopkins, for which I am truly grateful. However, it was just an intro to the comprehensive specialization and I finished what was presented as a four-week course in two sittings. I am trying to accept that it will all be a joyful uphill journey from here and just have fun with the process as a whole. Never before have I so thoroughly enjoyed the learning process.

The following excerpt is from a free lesson via DataCamp: