The R Programming Professional Course is designed to help students and professionals build strong data analysis and visualization skills using one of the most powerful statistical programming languages—R. In today’s data-driven environment, this course enables you to explore, manipulate, and interpret data effectively to support business and research decisions.
Through interactive sessions and real-world datasets, you’ll learn to clean, transform, and visualize data while applying statistical techniques and predictive models. Whether you’re starting your analytics journey or enhancing your data skills, this course equips you with the tools to turn raw data into actionable insights.
What You’ll Learn From This Course
Understand the fundamentals of R programming and data structures
Import, clean, and manage data from various sources
Perform statistical analysis and hypothesis testing
Create visualizations using R packages like ggplot2
Build simple predictive models and generate analytical reports
By the end of this course, you’ll be confident in using R for data manipulation, visualization, and analysis. With certification from ArivuPro Skills, you’ll be well-prepared for roles in data analysis, business intelligence, and research.
Curriculum
5 Sections
20 Lessons
30 Hours
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Module 1: Introduction to R and R Data Structures (6 Hours)
This course is designed for students, data enthusiasts, and professionals who want to learn how to analyze and visualize data using R Programming.
No prior programming experience is required. Basic understanding of mathematics or statistics will be helpful but not mandatory.
The R Programming Course helps you understand how to manipulate, analyze, and visualize data using R. You’ll learn data structures, functions, loops, and how to work with datasets to derive meaningful insights.
Yes, you will receive a certificate from ArivuPro Skills after successfully completing the course.
The course is available in online, offline, and recorded formats. You can choose the mode that best suits your learning style and schedule.
The course duration is 30 hours.
No, this course does not include placement support.
You’ll gain skills in R programming, data cleaning, visualization, basic statistical analysis, and building predictive models using R packages.
Yes, the course includes hands-on coding sessions and real-world data analysis exercises to strengthen your practical skills.
You can reach out to the instructor or the student support team through the provided communication channels for guidance and doubt resolution.