After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
R is a great language for data science, but sometimes the code can be slow to run. Combining the comfort of R with the speed of a compiled language
is a great way to reclaim the performance your code deserves.C++ is a modern, high performance language that is simple enough to learn
in the context of accelerating R code. With the help of the Rcpp package,
C++ integrates very neatly with R. You will learn how to create and manipulate
typical R objects (vectors and lists), and write your own C++ functions
to dramatically boost the performance of your R code.
Prerequisites
Curriculum
Course outline
1
Introduction
Writing, benchmarking, and debugging your first C++ code.
2
Functions and Control Flow
Writing functions, controlling the flow with if and else, and learning to use the three kinds of loops in C++.
3
Vector Classes
Manipulate and compute with Rcpp and native C++ vectors.
4
Case Studies
Use random numbers and write algorithms for applied time series models.
R
Optimizing R Code with Rcpp
Course
Complete
