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Data Science with R
Ranked #1 in Data Science with R Certification Training – Industry-relevant curriculum | Expert Instructors | 100% Online Learning | 3 Industry Projects
40 hours of instructor-led training
Learn R programming for data analysis
Hands-on exercises and real-world project work
Career-ready skills with R libraries: ggplot2, dplyr, caret
Course Completion Certificate
Resume and Interview Preparation Support
Licensed IT Training Institute In New Hampshire, USA
Trusted by Global Tech Leaders
Get certified in Data Science with R from leading technology partners and delivered by experienced professionals from the industry.
Data Science with R Course Overview
The “Data Science with R” course by System Skills is designed to equip participants with a
strong foundation in data science using the R programming language. This course will
teach you how to work with large datasets, perform statistical analysis, create insightful
visualizations, and apply machine learning techniques to solve real-world Problems using R.
Data Science with R Key Features
40 hours of instructor-led training
Real-World Projects and Case Studies
Learn from Industry-Certified Trainers
Hands-On Practice with R, ggplot2, dplyr, and caret
Resume and Interview Preparation Support
Lifetime Access to Session Recordings
Course Completion Certificate
Weekend and Weekday Batch Options Available
Skills Covered
R programming fundamentals
Data visualization using ggplot2
Model evaluation and optimization
Data manipulation and wrangling with dplyr
Time series analysis and forecasting
Statistical analysis and hypothesis testing
Predictive modeling and machine learning techniques
Connect Your
Learning Advisor Today
Benefits of Data Science with R Certification
Boost Your Career with Data Science with R Skills! R is a powerful language built specifically for statistical computing, data analysis, and visualization—trusted by data scientists and analysts across industries.
Data Science with R Trends & Industry Growth
CAGR estimated growth by 2030
0
%
Growth in R-skilled professionals
0
%
Average Annual Salary
Top Companies Hiring
Training Options
Online Bootcamp
Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access as well as online classroom training by top instructors and practitioners.
- Live Instructor-Led Training
- Hands-On Labs & Practice Exercises
- Access to Recorded Sessions
- Official Learning Materials
- Doubt Clearing & Q&A Sessions
- Mock Tests & Certification Prep
- Flexible Batch Timings
- Post-Training Support
Corporate Training
Transform your talent. Provide comprehensive training to upskill current employees or reskill them for new roles.
Flexible pricing & billing options
Your Requirements, Our Training Expertise
Updated Course Content
Skills assessment & benchmarking
Customised Corporate Programs
Dedicated customer success manager
Detailed Curriculum
Data Science with R
Module 1–3:
Introduction to Data Science & R Programming
Module 4–6:
Data Wrangling & Cleaning with dplyr
Module 7–10:
Data Visualization with ggplot2
Module 11–13:
Statistical Analysis & Hypothesis Testing
Module 14–16:
Machine Learning Algorithms & Predictive Modeling
Module 17–20:
Time Series Forecasting & Model Evaluation
About the Course
This course offers comprehensive training in Data Science with R, focusing on statistical analysis, data visualization, machine learning, and real-world data modeling. You’ll gain hands-on experience using R and its key packages like ggplot2, dplyr, caret, and Shiny, preparing you for data-centric roles across industries.
Why Pursue This Field:
Data Science with R is transforming decision-making across sectors. R is a top language for statistical computing and analytics, widely used in finance, healthcare, research, and academia. Mastering R opens doors to roles that demand precision, insight, and business impact.
Course Learning Objectives:
- Analyze and clean data using dplyr and tidyr
- Visualize insights with ggplot2 and base R graphics
- Build and evaluate machine learning models with caret
- Perform statistical modeling and hypothesis testing
Career Paths After Certification:
- Data Analyst
- Data Scientist
- Statistical Analyst
- Machine Learning Engineer
- Research Data Specialist
Tools Covered In This Course
Turn Knowledge into Action with Industry Projects
Foundational Project:
• Loan Default Prediction Model • Customer Segmentation using K-means Clustering
Intermediate Project:
• Sales Forecasting with Time Series Analysis • Social Media Sentiment Analysis
Advanced Project:
• Predicting Employee Attrition
Get Certified
Stand Out with an Industry-Ready Certification
Earn your Industry-Ready Certificate (IRC) by completing your projects and clearing the pre-placement assessment.
Certification Program Advantage
- 40 hours of instructor-led training
- Hands-on exercises and real-world project work
- Career-ready skills with R libraries: ggplot2, dplyr, caret
- Course Completion Certificate
- Resume and Interview Preparation Support
Placement Assistance
Unique System Skills Learners will be provided with 360-degree career guidance & Placement Assistance
Placement Assistance Process
Enroll in the course
Complete online training sessions
Learn to Build a projects
Practice with mock interviews
Interview
Preparation
What Our Learner’s Say
Great course for anyone starting out in data science! The R modules were well-structured and easy to follow. I applied what I learned to real projects and landed a Data Analyst role in Jeddah.
Aisha Al-Zahrani
Fantastic hands-on experience with R packages like ggplot2 and caret. The instructors explained statistical concepts clearly, and the career support helped me join a research team in Doha.
Omar Al-Kuwari
Comprehensive and practical! I especially appreciated the Shiny dashboard project—it gave me a solid portfolio piece. I’m now using R for analytics in the education sector in Kuwait. A few more advanced machine learning modules would’ve been helpful.
Noor Al-Sabah
Course FAQ: Data Science with R
Data Science with R is a hands-on training program that focuses on data manipulation, statistical analysis, and machine learning using R programming. It covers tools like ggplot2, dplyr, and caret to prepare learners for real-world analytics roles.
A Data Scientist analyzes large datasets, builds predictive models, and generates actionable insights using tools such as R and machine learning algorithms to solve complex business problems.
- Gain hands-on experience with real-world data projects
- Master R programming and popular ML packages
- Prepare for high-growth, high-paying data science roles
- 40 hours of instructor-led online sessions
- Flexible schedule: Weekday & weekend options available
- Certificate awarded upon successful completion
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
Learners typically experience a 30–40% salary boost after certification.
- IT & Software
- Healthcare
- BFSI (Banking, Financial Services & Insurance)
- Retail & E-commerce
- Manufacturing
No worries—recordings of all sessions are available for you to catch up anytime.
