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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

  • What is R?

  • Installing R and R Studio

  • Basic R syntax

  • Variables and data types

  • Simple calculations and operators

Working with Data in R

  • Data structures in R: vectors, matrices, and data frames

  • Data input and output

  • Subsetting and indexing data

  • Basic data manipulation

Control Structures and Functions

  • Conditional statements (if-else)

  • Loops (for, while)

  • Writing and using functions

  • Built-in functions in R

Data Visualization with ggplot2

  • Introduction to ggplot2

  • Creating scatter plots, bar charts, and line graphs

  • Customizing plot aesthetics

  • Combining and faceting plots

Data Analysis with dplyr

  • Introduction to dplyr

  • Filtering and selecting data

  • Grouping and summarizing data

  • Joining datasets

Introduction to Statistics with R

  • Descriptive statistics

  • Inferential statistics

  • Hypothesis testing

  • Linear regression

  • AI/ML library with Association Rule, Clustering, Classification, Forecasting

R Projects and Reproducible Research

  • Organizing your R projects

  • Version control with Git and GitHub

  • Creating dynamic reports with R Markdown

  • Sharing and collaborating on R projects

Data Visualization Beyond ggplot2

  • Customizing ggplot2 themes

  • Interactive visualizations with Shiny

  • Visualizing geographic data with leaflet

  • Other R visualization libraries

Final Projects and Course Wrap-up

  • Students work on final projects applying what they have learned

  • Project presentations and peer review

  • Course review and next steps in R programming

Staffing Support​
  • Resume Preparation

  • Mock Interview Preparation

  • Phone Interview Preparation

  • Face to Face Interview Preparation

  • Project/Technology Preparation

  • Internship with internal project work

  • Externship with client project work

Our Salient Features:
  • Hands-on Labs and Homework

  • Group discussion and Case Study

  • Course Project work

  • Regular Quiz / Exam

  • Regular support beyond the classroom

  • Students can re-take the class at no cost

  • Dedicated conf. rooms for group project work

  • Live streaming for the remote students

  • Video recording capability to catch up the missed class

Student Portal

Training / Service Center :

951 N. Plum Grove Rd.

Suite A, C
Schaumburg, IL, 60173

Ph: 847 350 9034 x option 1

Email: info@itexps.com

Service Center :

1560 Wall Street,

Suite #111,

Naperville, IL 60563 

Ph: 847 350 9034 x option 2

Email: info@itexps.com

Service Center :

2400 East Devon Ave. Suite#257
Des Plaines, IL 60018

Ph: 847 350 9034 x option 3

Email: info@itexps.com

IT Expert System, Inc is approved to operate by the Private Business and Vocational Schools Division of the Illinois Board of Higher Education.

IT Expert System, Inc is not accredited by a US Department of Education recognized accrediting body. IBHE Mandatory Disclosure Reporting

IT Expert System, Inc Training programs are approved by the Illinois State Approving Agency for the enrollment of qualified veterans and/or other eligible persons to receive Montgomery GI Bill® education benefits.

IT Expert System, Inc is regulated by: Indiana Department of Workforce Development, Office for Career and Technical School

10 N Senate Avenue, Suite SE 308, Indianapolis, IN 46204

OCTS@dwd.in.gov, http://www.in.gov/dwd/2731.htm

‘PMP’ and 'CAPM' are registered marks of the Project Management Institute, Inc.

‘GI Bill' is a registered trademark of the U.S. Department of Veterans Affairs (VA).

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