RStudio Course Online

SKU: 2761
8 Lesson
|
35 Hours
igmGuru's RStudio Certification Training teaches you to use the RStudio IDE and R programming language for data analysis, statistical modeling, and visualization. Through live projects and expert-led sessions, you'll build the practical skills needed to earn a recognized certificate and start a career in data science.

RStudio Course Overview

This RStudio Training Course is built for professionals who want to master data analysis with R inside the RStudio IDE, part of the Posit ecosystem. You'll work with real datasets, follow the tidyverse workflow, build interactive dashboards with Shiny, and automate reports using R Markdown and Quarto. By the end of this program, you'll be ready to handle end-to-end analytics projects with confidence, backed by hands-on labs and mentor support.

Prerequisites

  • A basic understanding of statistics (mean, median, variance, probability) is helpful, though not mandatory
  • Comfort with everyday computer tasks, such as file management and navigating an operating system
  • No prior programming experience is required, anyone comfortable with logical thinking can enroll
  • A laptop or desktop with at least 8 GB RAM to install R and the RStudio Desktop IDE

Course Objectives

  • Build a strong foundation in R programming syntax, data types, and control structures
  • Learn to install, configure, and navigate the RStudio IDE and Posit Cloud environment
  • Master data wrangling using the tidyverse - dplyr, tidyr, and purrr
  • Create publication-ready visualizations with ggplot2 and interactive plots with plotly
  • Apply statistical methods, including hypothesis testing, regression, and ANOVA, in R
  • Build interactive web applications using Shiny
  • Automate reproducible reports and documents using R Markdown and Quarto
  • Prepare for RStudio Certification Training assessments through guided, project-based practice

What You Will Learn

  • R programming fundamentals: vectors, data frames, lists, functions, and loops
  • Importing and exporting data from CSV, Excel, JSON, SQL databases, and APIs
  • Data cleaning and transformation using dplyr, tidyr, and stringr
  • Exploratory data analysis (EDA) techniques and summary statistics
  • Data visualization with ggplot2, including faceting, themes, and custom layers
  • Statistical modeling: linear regression, logistic regression, and introductory machine learning with tidymodels
  • Building dashboards and interactive web apps with Shiny
  • Reproducible reporting with R Markdown, Quarto, and parameterized reports
  • Version control basics using Git and GitHub inside RStudio
  • Debugging, testing, and writing efficient, readable R code
  • Working with larger datasets using data.table and database connections

Who Should Enroll in This Course?

This RStudio Course is designed for anyone who wants to build a career in analytics, statistics, or data science using the R programming language.

  • Data analysts and business analysts who want to add R to their skill set
  • Statisticians and researchers who need reproducible analysis workflows
  • Software developers transitioning into data science roles
  • Students and recent graduates in statistics, mathematics, or computer science
  • Working professionals in finance, healthcare, marketing, or operations who work with data
  • Anyone preparing for a data analytics interview or planning to pursue RStudio certification

Skills You Will Gain

  • R programming fundamentals and functional programming concepts
  • Data wrangling, cleaning, and transformation
  • Data visualization design with ggplot2 and plotly
  • Dashboard building with Shiny
  • Reproducible reporting with R Markdown and Quarto
  • Statistical analysis and hypothesis testing
  • Introductory machine learning workflows with tidymodels
  • Git and GitHub version control
  • Working within the Posit ecosystem - RStudio IDE, Posit Cloud, and Posit Connect

Tools Covered

  • RStudio IDE (Desktop and Posit Cloud)
  • R programming language (base R and the tidyverse)
  • ggplot2 and plotly for visualization
  • Shiny for interactive applications
  • R Markdown and Quarto for reporting
  • Git and GitHub for version control
  • SQL for database connectivity
  • tidymodels and caret for introductory machine learning

Career Outcomes

Completing this RStudio Certification Training opens the door to a range of data-focused roles across industries.

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Statistical Analyst / Biostatistician
  • Research Analyst
  • Data Engineer (entry-level)
  • Machine Learning Engineer (entry-level)
  • Quantitative Analyst

Why Choose igmGuru?

igmGuru brings together experienced trainers, real-world projects, and flexible learning options to help you succeed in this RStudio Training Course.

  • Instructor-led live online sessions
  • Hands-on labs and real-world case studies
  • Lifetime access to recorded sessions and course material
  • 24/7 learner support
  • Flexible weekday and weekend batches
  • Course completion certificate
  • Resume and interview preparation assistance
  • Small batch sizes for personalized attention

Key Features

RStudio Course Curriculum

1. Overview of R and RStudio
2. RStudio interface (console, script editor, environment)
3. Writing and running R code
1. R data types: numeric, character, logical, etc.
2. Vectors, lists, matrices, and factors
3. Data frames and manipulating data frames
1. Importing data from CSV, Excel, and databases
2. Exporting data to CSV, Excel, and other formats
1. Filtering, selecting, and mutating data
2. Grouping and summarizing data
3. Reshaping data (pivoting, spreading, gathering)
1. Creating basic plots: histograms, bar charts, scatter plots
2. Customizing plots: colors, labels, themes
3. Faceting and multi-plot layouts
1. Descriptive statistics (mean, median, SD)
2. Hypothesis testing (t-tests, chi-square)
3. Linear regression and ANOVA
1. Creating reports using R Markdown
2. Embedding R code and results in documents
3. Exporting reports to HTML, PDF, or Word
1. Working with large datasets (data.table, parallel processing)
2. Introduction to Shiny for web applications
3. Introduction to machine learning in R
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RStudio Training Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 35 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 21 Sep 2026
  • Weekday Batch 21 Sep 2026
  • Weekend Batch 26 Sep 2026

Corporate Training

Corporate Training
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  • Flexible Training Schedule Options
  • Industry Experienced Trainers
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RStudio Certification

Upon completing this RStudio Training Course, you will receive an igmGuru RStudio Certification Training completion certificate, along with a capstone project you can showcase in your portfolio or on LinkedIn.

It's worth being transparent here: Posit (formerly RStudio) does not currently offer a general end-user certification exam for the RStudio IDE itself, its certification programs are focused on instructor training, not learners. What matters most to employers is demonstrated, hands-on proficiency, which is why this course emphasizes project-based learning and a portfolio-ready capstone over exam memorization.

RStudio Certification

FAQ's

No. R is the programming language, while RStudio is the IDE (integrated development environment) used to write and run R code more efficiently.

Posit (formerly RStudio) does not offer a general end-user certification for using the IDE. Learners typically earn a certificate from their training provider, such as igmGuru, to validate applied, job-ready skills.

No prior programming experience is required. The course starts from R fundamentals before progressing to advanced topics like Shiny and machine learning.

Yes. The RStudio Desktop IDE and R itself are open source and free. Posit also offers paid cloud and enterprise products for teams.

The course runs for approximately 40 hours, combining live instructor-led sessions with hands-on lab work, and can typically be completed in 6 to 8 weeks.

Posit is the company that develops RStudio; it rebranded from RStudio to Posit in 2022 to reflect a broader focus beyond R, including Python. The RStudio IDE itself kept its original name.

Yes. The course includes recorded sessions, so you can learn at your own pace alongside or instead of live batches.

Graduates typically pursue roles such as data analyst, data scientist, business intelligence analyst, and statistical analyst.

Yes, the course includes an introductory module on machine learning using tidymodels and caret.

Yes. The course includes hands-on labs after every module and a capstone project that mirrors real business scenarios.

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