Introduction to R Programming for Data Science
R (Programming)
Overview
Awarded by IBM in March 2025, this certification validates my expertise in R programming for data science. The course covered: Fundamentals of R – Working with primitive data types in RStudio and Jupyter Notebooks. Programming Logic – Implementing conditions, loops, functions, string operations, and regular expressions. Data Structures – Constructing and manipulating vectors, factors, lists, and data frames. Data Handling – Reading, writing, and saving data files, along with web scraping using R.
Key Highlights
- Strong foundation in R programming for data science applications
- Hands-on experience with data structures and control flow
- File handling and web scraping capabilities using R
- Functional programming techniques for efficient data analysis
- Course completed with top performance (95% grade)
Skills Gained
- R
- Data Analysis
- Data Cleanup
- Data Visualization
- Data Analysis
