What will you learn in this R Programminga Course
Understand the foundational concepts of programming using the R language.
Set up and configure the R environment for data analysis and statistical computing.
Work with R data structures, including vectors, lists, and data frames.
Utilize control structures such as loops and conditionals to write efficient code.
Apply debugging and profiling techniques to optimize code performance.
Perform simulations and utilize R’s functional programming tools.
Program Overview
1. Background, Setup, and Basics
⏳ 14 hours
Introduction to R, setting up the development environment, basic syntax, R scripts, and using R as a calculator.
2. Programming with R
⏳ 15 hours
Covers control structures, user-defined functions, lexical scoping rules, and writing reusable code in R.
3. Loop Functions and Debugging
⏳ 14 hours
Explore apply family functions, loop alternatives, debugging techniques, and strategies for robust R scripting.
4. Simulation and Profiling
⏳ 14 hours
Learn to simulate random data, model real-world scenarios, and profile R code to improve speed and memory usage.
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Job Outlook
Prepares learners for roles such as Data Analyst, Statistical Programmer, and Research Scientist.
In-demand in industries like finance, public health, academia, and analytics consulting.
Builds essential skills in data handling, statistical computing, and programming logic.
Serves as a strong foundation for advanced data science or biostatistics roles.
Specification: R Programminga
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