Data Science using R Certification Training – Self-Paced Online Course
The Data Science using R Certification Training is one of our top-rated courses, designed to help you Master essential skills required in today’s analytics-driven industries. Delivered entirely as a self-paced online program, it offers complete flexibility to learn data analysis, statistics, and predictive modeling using R, at your own pace. As one of our popular skill-building programs, this course helps learners Get in-demand Data Science capabilities through structured modules and practical demonstrations.
This course strengthens your analytical foundation and equips you with practical, job-oriented Data Science skills that are highly valued in analytics roles across industries. Whether you are upskilling or transitioning into analytics, this course helps you build confidence in working with data, applying statistical methods, and implementing machine learning techniques using R.
The curriculum introduces key concepts in Data Science, statistical techniques, and machine learning fundamentals using R programming. You will work with real-world datasets, analyze patterns, and extract meaningful insights that support business decision-making. The course also includes real-world projects, industry case studies, and hands-on exercises across multiple domains such as media, healthcare, aviation, retail, and HR.
What You’ll Learn
Here are the key skills you will gain as you progress through the Data Science using R Certification course:
- Learn the fundamentals of Data Science, statistical analysis, and core R programming required for analytics.
- Understand how to extract, clean, transform, and prepare data for analysis using widely used data manipulation techniques in R.
- Explore and analyze datasets to identify patterns, trends, and meaningful insights using R-based analytical techniques.
- Apply essential statistical methods, probability concepts, and hypothesis testing to interpret and validate data outcomes.
- Build and assess machine learning models using techniques such as Decision Trees, Random Forest, Logistic Regression, Linear Regression, Naive Bayes, and K-Means Clustering.
- Work with advanced topics introduced in the course, including Text Mining, sentiment analysis, and Time Series Forecasting, using practical datasets.
- Strengthen your hands-on experience through real-world projects, case studies, and assignments designed to mirror real industry challenges.
The Next Step
If you're ready to gain practical Data Science skills, work on industry case studies, and build confidence in using R for analytics, this course provides everything you need to begin.
Take the Next Step Toward a Data-Driven Career. Enroll now in the Self-Paced Online Data Science using R Certification Training and start building skills that make you job-ready!