rstudio

RStudio Essentials

Introduction to RStudio

rstudio

Pre-Requisites

Mastering of RStudio

Installing and Setting Up RStudio, Overview of R and the RStudio Interface, Basic Navigation and File Management

Data Import and Management

Importing Data from Various Sources, Data Cleaning and Transformation, Working with Data Frames and Tibbles  

Data Visualization

Creating Basic Plots in RStudio, Customizing Graphs with ggplot2, Interactive Visualization Tools  

Statistical Analysis in RStudio

Descriptive Statistics and Summary Functions, Inferential Statistics and Hypothesis Testing, Regression Analysis  

Basics Of RScript

Advanced Programming in R

Writing and Running R Scripts, Control Structures and Functions, Debugging and Error Handling 

data analysis

Data Analysis

Working with Packages and Libraries, Time Series and Panel Data Analysis, Data Wrangling with dplyr and tidyr 

Reproducible Research and Reporting

Creating Dynamic Reports with RMarkdown, Integrating RStudio with Git and Version Control, Sharing and Publishing Results 

learners

Jump-start Success Today!

Platforms To Choose From

Personalized, interactive learning experiences delivered through a virtual/online platform, tailored to each student’s unique needs and schedule.  
(Ages: 8yrs - College/Adult)

Self-paced Pre-recorded Sessions

Pre-recorded class/sessions using a step-by-step approach to build confidence and problem-solving skills. 
(Ages: 14yrs - 18yrs)

- OR -

helpful links

Find Answers to Common Questions

Technical Requirements

Frequently Asked Questions

other details

Items to Consider

Extremely Helpful

Students should currently be enrolled in a math program/class or have taken the class in the past.

Jump-start Success!

Answers to Common Questions

Extended Topics

RStudio Wrap-Up

Review of Key Concepts and Best Practices, Tips for an Efficient Workflow, Final Practice and Project Applications