Edoxi's 40-hour online R Programming course equips you with essential skills in data wrangling, visualisation, and statistical analysis. This R Programming training is designed to help individuals and corporate teams leverage data for business insights, focusing on practical applications across various sectors.
The R Programming for Data Analytics training includes extensive sessions where you work with real-world datasets. From setting up R and RStudio to building predictive models and creating sophisticated visualisations, you gain hands-on experience applicable to workplace challenges. Our curriculum combines statistical foundations with modern R programming techniques using the Tidyverse ecosystem.
Corporate teams particularly benefit from customisable training approaches, with specialised modules designed to address industry-specific data challenges. This ensures you can directly apply their newly acquired skills within their organisational context, transforming data into actionable intelligence and enhancing decision-making capabilities. Upon completing our R Programming course, you will receive Edoxi’s R Programming Course Completion Certificate. This credential validates your expertise in using R for data analysis, visualisation, and statistical modelling.
Enrol now to advance your analytical capabilities and drive data-driven success in your organisation.
Practice in the industry-standard RStudio interface with immediate feedback on coding techniques and analysis approaches.
Learn the powerful collection of R packages designed for data science, including dplyr, tidyr, and ggplot2 for efficient data workflows.
Engage in live coding with instructors to develop practical skills in data manipulation, visualisation, and modelling techniques.
Apply all learned concepts in a comprehensive project using real-world datasets from finance, healthcare, or marketing domains.
Implement hypothesis testing, regression analysis, and other statistical techniques to extract meaningful insights from business data.
Apply learned concepts to analyse data, create visualisations, and deliver actionable recommendations.
Professionals working with data who want to enhance their analytical capabilities using R's powerful statistical and visualisation tools.
Industry practitioners seeking to apply data-driven approaches to financial modelling, market research, or operational efficiency analysis.
Researchers and academics who need to perform statistical analysis and create professional visualisations for their work.
Technical professionals looking to expand their skill set into data science and analytics using R programming.
Departments seeking to build internal analytical capabilities across team members with consistent methodologies and tools.
Individuals with basic computer literacy who want to start their journey in data analysis with R's accessible programming environment.
The R Programming course features extensive hands-on projects and case studies using real-world datasets and the RStudio environment. You will work on practical data analytics challenges, including:
You can choose a dataset (finance, healthcare, marketing, etc.), perform data cleaning, exploratory data analysis, visualisation, and predictive modelling, then present insights and recommendations based on their findings.
Set up and configure the R environment and RStudio interface, write simple scripts, and run basic commands to establish a functional analytics workspace.
Organise and manipulate datasets using R's data structures, including vectors, factors, lists, matrices, and data frames, with exercises.
Practice importing data from various sources (CSV, Excel, JSON) and exporting processed datasets back to different file formats.
Clean, transform, and prepare datasets for analysis using tidyverse packages to handle real-world data challenges like missing values and inconsistent formats.
Create professional-level plots and dashboards using ggplot2 with customisation options to effectively communicate analytical findings.
Our R Programming for Data Analytics course delivers significant corporate benefits, empowering organisations to leverage data more effectively. Upon completion, your team will contribute to:
Get expert assistance in getting you R Programming Course customised!
Here’s a four-step guide to becoming a certified R Programming professional.
Join Edoxi’s R Programming Course
With many options available, Edoxi proves to be the best choice. The following are the reasons why Edoxi’s R Programming training is the ideal option for you:
Our course covers the complete R ecosystem, including tidyverse, ggplot2, and statistical packages specifically configured for corporate data analytics workflows.
We emphasise practical business applications over theory, with instructors who bring extensive experience in applying R analytics to corporate decision-making processes.
Our flexible delivery formats ensure training aligned with your organisation's specific data challenges and industry context for maximum relevance.
Our curriculum focuses on scalable, reproducible analytics methods used by leading companies for data-driven decision making and reporting.
Build your analytics capabilities with our related courses in Python, Power BI, and Advanced Statistical Analysis for continued professional growth.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Athar Ahmed
Athar Ahmed is a skilled technical trainer with more than 15 years of experience in both educational institutions and the software development business. Athar specialises in technology stacks including Advanced Excel, Python, Power BI, SQL, .NET, Java, PHP, Full Stack Web Development, Agile, Data Science, Artificial Intelligence, Data Analytics, and DevOps.
He holds several certifications and licenses that underscore his expertise in the field. These include MCTS (Microsoft Certified Technology Specialist), MCP (Microsoft Certified Professional), and a Certificate in Artificial Intelligence and Machine Learning for Business. He also completed a Certificate Course in Unix, C++, and C# from CMC Academy, among other qualifications.
Athar also holds a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA). Additionally, he earned a Master of Technology (M. Tech) in Machine Learning and Artificial Intelligence, as well as a Doctorate of Philosophy (PhD) in Computer Applications.
Here is the list of other major locations where Edoxi offers R Programming Course
Basic computer literacy is the only essential requirement. While familiarity with statistics is helpful, the course includes all necessary statistical concepts for complete beginners.
R is a core skill across data roles, with salaries typically ranging from $86,000 to $174,000 per year based on role and experience. Below are the average salaries for common R-related positions:
| Job Role | Average Salary (USD) |
| Data Analyst | $91,000 |
| Statistician | $108,000 |
| Data Scientist | $112,000–$151,000 |
| Data Engineer | $131,000 |
| Data Architect | $174,000 |
Yes, we offer flexible scheduling for corporate clients. The 5-day program can be delivered as weekly sessions or split according to your team's availability and workload considerations.
