- Home
- Data Science Courses
- Data Science With R Training
Join the cohortGet instant access (self-paced)
Real-time Use cases
24/7 Lifetime Support
Certification Based Curriculum
Flexible Schedules
One-on-one doubt clearing
Career path guidance
Mindmajix Data Science with R Training develops knowledge and skills to visualize, transform, and model data in R language. It helps you to master the Data Science with R concepts such as data visualization, data manipulation, machine learning algorithms, charts, hypothesis testing, etc.through industry use cases, and real-time examples. It also offers hands-on projects to enhance your skills and move ahead in your career.
Course Coverage
YOUR LEARNER JOURNEY - From Enrolment to Employment
Six guided stages take you from your first training class to your first offer — each one backed by a specific MindMajix support service.
Pick live online or self-paced, and set up a free Data Science With R Instance so you practice from day one.
Master Data Science With R concepts with 30 hrs of current-release content, applying every concept in hands-on labs and real-time projects throughout.
Clear the assessments for your shareable MindMajix completion certificate. Modules map to official Data Science With R exam topics for exam-aligned prep.
Turn skills into a profile recruiters notice — build an interview-ready resume and a strong LinkedIn presence using proven Data Science With R templates.
Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on your Data Science With R skills and scenario questions.
Apply with confidence using job-search assistance and referrals to hiring partners across India & the USA. (Career support provided; placement not guaranteed.)
Start the journey today - choose the format that fits you.
You will be exposed to the complete Data Science With R Trainingcourse details in the below sections.
Data Types
Introduction to Data Science Tools
Statistics
Approach to Business Problems
An overview of Analytics
Models and Algorithms
Importance of Data Science
Data Science as a Strategic Asset
R, Python, WEKA, RapidMiner
Overview of R
Introduction to R
Data Structures and Manipulation in R
Installing R on Vsrious Operating Systems
IDEs for R
Steps in R Initiation
Installing an R Package
Overview of Business Analytics
Introduction to Business Analytics
Analytics Technology and Resources
Need of Business Analytics
Types and Features of Business Analytics
Descriptive and Predictive Analytics
Business Decisions
Analytical Tools
Data Science as a Strategic Asset
Introduction
Types of Graphics
Save Graphics to a File
Graphics in R
Create a word cloud
Exporting Graphs in EStudio
Need of Hypothesis Testing in Businesses
Chances of Errors in Sampling
Level of Significance
Types of Statistical Hypothesis Tests
Test Statistic
Types of Errors
Use Normal and Student Probability Distribution Functions
Objectives of Null Hypothesis Test
Use Chi-Squared Test Statistics
Introduction to Regression Analysis and Usage
Types of Regression Analysis
Interaction Regression Model
Correlation
Logit Function
Lift charts
Decile Analysis
Introduction to Cluster Techniques
Examples of Classification
Classification Process - Model Construction
Data Preparation Issues
Basic Algorithm for a Decision Tree
Decision Trees in Data Mining
Naive Bayes Classifier
Clustering Models
Use Cases of Clustering
DBSCAN Clustering Algorithm
Distance Methodologies
Hierarchical and Non-Hierarchical Procedure
K-Means clustering
Our Data Science With R Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Passing Data Science With R Quizzes & Assessment exams is mandatory to attain the Data Science With R Course Completion certificate
Training OptionsBoth options cover the full curriculum and include most of the certification topics
Learn anytime, at your own pace — complete the course in weeks or months.
Get Pricing
Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready
07:30 AM IST · Weekend · Only 4 seats left
30 hrs · Live online · Recordings included
3 weekends · 30 hrs total
2 weeks · 30 hrs total
3 weekends · 30 hrs total
2 weeks · 30 hrs total
Need a different time? We offer and at any timezone. Contact a course advisor to set one up.
Empower your team with new skills to Enhance their performance and productivity.
We believe in transparency. Here's how MindMajix stacks up against typical Data Science With R training providers so you can compare value, support, and practical depth clearly.
Data Science With R Training
5182 learnersGeneric Data Science With R Training Providers
Updated to the latest exam pattern with real-world modules, guided labs, and implementation depth.
Always currentOften outdated basics with limited real-world coverage and shallow practical context.
Frequently outdatedSandbox-style practice with guided exercises, projects, and replay-friendly learning support included.
Included at no extra costSlides-first teaching with restricted lab time or paid add-on practical access.
Limited / paid extraCertified trainers with real implementation experience and structured teaching support.
Verified expertiseTrainer quality varies widely and may depend on availability rather than specialization.
Varies widelyA stable trainer journey with consistent delivery, doubt support, and batch continuity.
Consistent trainerTrainer substitutions can happen mid-course and interrupt learning continuity.
Frequent changesOngoing help through trainer sessions, community support, and guided clarification after class.
Extended supportSupport often stops after sessions, leaving little structured post-class help.
No post-training helpResume reviews, mock interviews, hiring guidance, and practical interview preparation support.
Active placement supportPlacement support is often limited to generic guidance or an email list.
Mostly nominalStructured mock interview rounds with domain-focused feedback before interviews.
IncludedStudents are usually expected to prepare independently without guided mock rounds.
Not includedWeekday, weekend, and flexible learning paths with guidance on the best fit.
Fully flexibleFixed schedules with fewer alternatives once a batch begins.
Limited optionsPractice questions, revision guidance, and exam-focused preparation aligned to current objectives.
Comprehensive prepGeneric question banks that may not reflect the latest exam priorities.
Outdated mock testsStrong value with training, support, and practical learning included as a single package.
Best value for inclusionsLower headline pricing can still lead to add-on costs for labs, support, or extras.
Hidden add-on costsLong-term access to recordings and study materials for revision after batch completion.
Lifetime-style accessAccess is often time-limited and may not include refreshed supporting material.
Time-limited accessUpdated to the latest exam pattern with real-world modules, guided labs, and implementation depth.
Always currentOften outdated basics with limited real-world coverage and shallow practical context.
Frequently outdatedSandbox-style practice with guided exercises, projects, and replay-friendly learning support included.
Included at no extra costSlides-first teaching with restricted lab time or paid add-on practical access.
Limited / paid extraCertified trainers with real implementation experience and structured teaching support.
Verified expertiseTrainer quality varies widely and may depend on availability rather than specialization.
Varies widelyA stable trainer journey with consistent delivery, doubt support, and batch continuity.
Consistent trainerTrainer substitutions can happen mid-course and interrupt learning continuity.
Frequent changesOngoing help through trainer sessions, community support, and guided clarification after class.
Extended supportSupport often stops after sessions, leaving little structured post-class help.
No post-training helpResume reviews, mock interviews, hiring guidance, and practical interview preparation support.
Active placement supportPlacement support is often limited to generic guidance or an email list.
Mostly nominalStructured mock interview rounds with domain-focused feedback before interviews.
IncludedStudents are usually expected to prepare independently without guided mock rounds.
Not includedWeekday, weekend, and flexible learning paths with guidance on the best fit.
Fully flexibleFixed schedules with fewer alternatives once a batch begins.
Limited optionsPractice questions, revision guidance, and exam-focused preparation aligned to current objectives.
Comprehensive prepGeneric question banks that may not reflect the latest exam priorities.
Outdated mock testsStrong value with training, support, and practical learning included as a single package.
Best value for inclusionsLower headline pricing can still lead to add-on costs for labs, support, or extras.
Hidden add-on costsLong-term access to recordings and study materials for revision after batch completion.
Lifetime-style accessAccess is often time-limited and may not include refreshed supporting material.
Time-limited accessIndustry-focused delivery with stronger support, consistency, and practical learning value.
Lower upfront pricing can hide trade-offs in labs, trainer continuity, and support quality.
Student
On-Job Support Service
Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:
