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 kodestree?
kodestree 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
