This course is the second course in the Data Science Specialization.
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, discuss 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, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.
I’m creative, imaginative, free-thinking, daydreamer and strategic who needs freedom, peace and space to brainstorm and to fantasize about new and surprising solutions. Generates ideas and solves difficult problems, sees all options, judges accurately and wants to get to the bottom of things.
Interested in Data Science, Big Data, Analytics, Running, HIIT, Obstacle Running, Coffee.