Introduction to R Course Overview
The "Introduction to R Course Overview" by Open Source equips learners with essential skills in statistical computing and data analysis using R. This course is invaluable for data analysts, researchers, and professionals in fields like finance, healthcare, and marketing, empowering them to make data-driven decisions and enhance their analytical capabilities in a rapidly evolving data landscape.
Course outline & what you'll learn
- "- Course Introduction
- - Overview of R and its applications
- - Importance of learning R in data science
- - Getting Started with R
- - Installing R and RStudio
- - Understanding R interface and functionality
- - R Basics
- - Data types and structures (vectors, lists, matrices, data frames)
- - Basic operations and functions
- - Data Manipulation
- - Introduction to tidyverse
- - Data cleaning and transformation with dplyr and tidyr
- - Data Visualization
- - Basics of ggplot2
- - Creating various types of plots (scatter, bar, line)
- - Statistical Analysis in R
- - Descriptive statistics
- - Inferential statistics basics
- - Working with Data
- - Importing and exporting data (CSV, Excel)
- - Understanding data formats and structures
- - Functions and Programming in R
- - Writing custom functions
- - Control structures (if statements, loops)
- - R Packages
- - Overview of CRAN and Bioconductor
- - Installing and using R packages
- - Case Studies and Applications
- - Real-world examples using R
- - Project work and presentations
- - Course Conclusion
- - Review of key concepts
- - Resources for further learning and community engagement"
Why train with Traincrest
This Open Source course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.