Rstudio Training Online

About our Rstudio online course

Rstudio is a comprehensive statistical and graphical programming language widely used in data analytics and research. Our online Rstudio course is designed to cater to beginners, upskillers, and career switchers alike, providing valuable skills and practical experience. With a strong focus on outcomes, this course will equip you with the tools needed to navigate the dynamic US job market in data science and analytics.

Through interactive learning and real-world projects, our Rstudio course aims to provide a deep understanding of data manipulation, statistical modeling, and graphical representation. This course is a stepping stone to a promising career in a growing field.

Rstudio Course key highlights

• Instructor-led/live online classes
• Hands-on labs and simulations
• Real-world case studies
• Capstone project
• Placement support
• Resume and interview preparation

Overview of our Rstudio online Training

Our Rstudio training course is delivered via weekday or weekend live sessions, supplemented by a robust Learning Management System (LMS). We provide a state-of-the-art lab environment and real-world datasets for practical experience and skill development.

Tools & Systems Used:

• Rstudio Desktop and Rstudio Server
• R Markdown
• R Packages (dplyr, ggplot2)
• Git and GitHub for version control
• Shiny for interactive applications

Objectives of our Rstudio online training course

• Understanding of R and Rstudio basics
• Proficiency in data manipulation and visualization
• Ability to perform statistical analysis
• Experience with real-world projects
• Knowledge of advanced Rstudio tools
• Preparation for job interviews and resume development

What you will learn in our Rstudio classes

• Basic and advanced R syntax
• Data manipulation techniques
• Data visualization with ggplot2
• Statistical analysis and modeling
• Creating reports with R Markdown
• Building interactive apps with Shiny

Course syllabus

Module 1: Introduction to R and Rstudio

• Understanding R and Rstudio
• Installing R and Rstudio
• Basic R syntax
• Data structures in R

Module 2: Data Manipulation and Visualization

• Data manipulation with dplyr
• Data visualization with ggplot2
• Creating reports with R Markdown

Module 3: Advanced Rstudio tools

• Building interactive apps with Shiny
• Version control with Git and GitHub

Prerequisites: Basic understanding of programming concepts and statistics.

Included resources: Access to LMS, class recordings, and templates.

Course details