
Empower Clients Through IT
IT EXPERT SYSTEM, INC
IT Training, Staffing and IT Services Provider
R-PROGRAMMING
This course is designed for beginners who want to learn R, a popular programming language for data analysis and statistics. Students will acquire fundamental programming skills in R and learn to manipulate data, create visualizations, and perform basic statistical analysis to leverage AI/ML algorithm to make data driven decisions.
Course Content
Introduction to R
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What is R? 
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Installing R and R Studio 
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Basic R syntax 
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Variables and data types 
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Simple calculations and operators 
Working with Data in R
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Data structures in R: vectors, matrices, and data frames 
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Data input and output 
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Subsetting and indexing data 
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Basic data manipulation 
Control Structures and Functions
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Conditional statements (if-else) 
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Loops (for, while) 
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Writing and using functions 
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Built-in functions in R 
Data Visualization with ggplot2
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Introduction to ggplot2 
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Creating scatter plots, bar charts, and line graphs 
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Customizing plot aesthetics 
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Combining and faceting plots 
Data Analysis with dplyr
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Introduction to dplyr 
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Filtering and selecting data 
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Grouping and summarizing data 
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Joining datasets 
Introduction to Statistics with R
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Descriptive statistics 
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Inferential statistics 
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Hypothesis testing 
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Linear regression 
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AI/ML library with Association Rule, Clustering, Classification, Forecasting 




R Projects and Reproducible Research
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Organizing your R projects 
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Version control with Git and GitHub 
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Creating dynamic reports with R Markdown 
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Sharing and collaborating on R projects 
Data Visualization Beyond ggplot2
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Customizing ggplot2 themes 
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Interactive visualizations with Shiny 
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Visualizing geographic data with leaflet 
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Other R visualization libraries 
Final Projects and Course Wrap-up
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Students work on final projects applying what they have learned 
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Project presentations and peer review 
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Course review and next steps in R programming 
Staffing Support
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Resume Preparation 
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Mock Interview Preparation 
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Phone Interview Preparation 
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Face to Face Interview Preparation 
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Project/Technology Preparation 
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Internship with internal project work 
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Externship with client project work 
Our Salient Features:
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Hands-on Labs and Homework 
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Group discussion and Case Study 
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Course Project work 
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Regular Quiz / Exam 
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Regular support beyond the classroom 
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Students can re-take the class at no cost 
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Dedicated conf. rooms for group project work 
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Live streaming for the remote students 
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Video recording capability to catch up the missed class 
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