Certificate in Data Analytics Using R
Build a future-ready career in data analytics with our Certificate in Data Analytics Using R, designed to provide you with practical, hands-on experience in statistical analysis, machine learning, and data visualization using R Programming.
This program equips learners with strong foundational knowledge in R programming, statistics, probability, predictive analytics, and machine learning, enabling them to analyze data, build predictive models, uncover actionable insights, and solve real-world business problems using industry-relevant analytical techniques.
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Learning Format
Online Bootcamp
Validity
6 Months
Access Anytime
Grant Thornton
About Program
The program by Arivu Skills, guided by experienced faculty and industry experts, is designed to build a strong foundation in R-based data analytics and machine learning. It equips learners with the skills needed to perform statistical analysis, apply probability concepts, build predictive models using machine learning algorithms, analyze text data, and derive meaningful business insights through data-driven decision-making.The program by Arivu Skills, guided by experienced faculty and industry experts, is designed to build a strong foundation in Python-based data analytics. It equips learners with the skills needed to work with structured data using NumPy and Pandas, perform statistical and probability analysis, visualize data using industry-standard libraries, and apply analytical techniques such as hypothesis testing and regression analysis to solve real-world business problems.
Key Highlights
- Industry-aligned curriculum
- Real-world datasets & projects
- R programming fundamentals
- Machine learning concepts
- Statistical data analysis
- Predictive analytics techniques
- Dual certification
- Practical, hands-on learning
- Text analytics with R
- Job-ready skill focus
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About Grant Thornton
ArivuSkills, in collaboration with Grant Thornton, brings a strong focus on application-oriented learning and industry-driven innovation across key domains such as strategy, analytics, risk, and digital transformation. Backed by Grant Thornton’s global expertise and real-world consulting experience, the program emphasizes practical problem-solving, business impact, and future-ready skills to help learners thrive in a rapidly evolving professional landscape.
Who Can Apply for the Course?
- Students from any degree background
- Engineering, science, commerce, or management students
- Fresh graduates aspiring for data analytics careers
- Working professionals looking to upskill
- Aspiring data analysts, business analysts, and Python developers
- Beginners with no prior experience
What roles can a Data Analytics Using R professional play?
Data Analyst
Analyze datasets using R to identify trends, generate insights, and support data-driven business decisions.
Junior Data Scientist
Apply statistical analysis and machine learning algorithms to solve business problems and develop predictive analytical models.
Business Analyst
Interpret business data, evaluate performance metrics, and provide analytical recommendations that improve organizational decision-making.
Machine Learning Analyst
Develop and evaluate machine learning models using supervised and unsupervised learning techniques to generate business insights.
Data Visualization Analyst
Create insightful visualizations and reports using R to communicate complex data in a clear and meaningful way.
Analytics Consultant
Work with organizations to analyze business data, build predictive models, and recommend data-driven solutions that improve operational performance.
Skills to Master
R Programming
Statistical Analysis
Probability Concepts
Machine Learning
Regression Analysis
Classification Techniques
Clustering Techniques
Text Analytics
Predictive Analytics
Data-Driven Decision Making
Tools to Master
Curriculum
- Live Course
- Self Paced
- Industry Expert
- Academic Faculty
Module 1: Statistics with R
Module 2: Introduction to Probability
Module 3: Basics of Machine Learning
Module 4: Introduction to Linear Regression
Module 5: Introduction to Logistic Regression
Module 6: Introduction to KNN
Module 7: Introduction to Decision Tree
Module 8: Ensemble Learning Techniques
Module 9: Introduction to SVM
Module 10: Introduction to K-Means Clustering
Module 11: Text Analytics with R
Module 12: Naïve Bayes with R Programming
Program Highlights
- 24+ Hours of Comprehensive Data Analytics Using R Learning
- Industry-Relevant Case Studies & Practical Applications
- Live Online Classes with Industry Experts
- 24*7 Support
Companies Hiring for Data Analytics Using R Professional
Admission Details
The admission process is quick and simple. Fill out the admission form on this page, our Career Guidance team will call to confirm your enrollment, and you’ll get instant access to your course.
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Frequently Asked Questions
1. What is Data Analytics Using R, and why is it a valuable career skill?
Data Analytics Using R focuses on analyzing, visualizing, and interpreting data using R Programming. It is widely used in data science, business analytics, research, and machine learning, making it a valuable skill for today’s data-driven industries.
2. Do I need prior programming experience to enroll in this course?
No. This course is designed for beginners, students, fresh graduates, and working professionals. It starts with the fundamentals of R Programming before progressing to statistical analysis and machine learning concepts.
3. What tools and technologies will I learn in this course?
You will gain hands-on experience with R Programming, RStudio, tidyverse, ggplot2, dplyr, and AI-assisted productivity tools while learning statistical analysis, machine learning, and data visualization techniques.
4. What job roles can I apply for after completing this course?
Upon successful completion, you can pursue roles such as Data Analyst, Business Analyst, Junior Data Scientist, Machine Learning Analyst, Data Visualization Analyst, and Analytics Consultant.
5. What is the average salary for a Data Analytics professional in India?
Entry-level Data Analytics professionals typically earn between ₹4 LPA and ₹8 LPA, while experienced professionals with strong analytical and Python skills can earn significantly more depending on their role, industry, and experience.
6. Who should attend this course?
This course is ideal for students, fresh graduates, working professionals, aspiring data analysts, business analysts, researchers, and anyone looking to build expertise in R Programming, data analytics, and machine learning.
7. What certification will I receive upon successful completion?
Upon successful completion of the program, learners will receive a Grant Thornton Certification along with an Arivu Skills Certificate, validating their knowledge of R-based data analytics and machine learning concepts.
8. Will I work on real-world datasets and practical projects?
Yes. The course includes practical assignments, real-world datasets, and hands-on exercises to help learners apply statistical analysis, machine learning algorithms, and data visualization techniques to solve business problems.
9. What topics does the curriculum cover?
The curriculum covers Statistics with R, Probability, Machine Learning fundamentals, Linear Regression, Logistic Regression, KNN, Decision Trees, Ensemble Learning, SVM, K-Means Clustering, Text Analytics, and Naïve Bayes using R Programming.
10. Where is Arivu Skills located in Bangalore?
Arivu Skills is located at 1st Floor, Sai Prema, Christ Lane No. 39, Krishnanagar, Hosur Road, Koramangala, Bengaluru – 560029. The institute offers both classroom training and live online classes, making it accessible for students across Bangalore.
