Data Science with R Training in Marathahalli, Bangalore
Build Job-Ready Data Science Skills with R — Hands-On Training in Bangalore
Learn to analyze, visualize, and model data using R Programming through a structured, practical learning approach. Develop expertise in Data Manipulation, Statistics, Data Visualization, Machine Learning, and Predictive Modeling through real-time labs, hands-on exercises, and industry-relevant case studies.
Real time industry trainers
Certificate on completion
Classroom + online available
Flexible batch timings
Where Data Science with R Skills Take You
Data Science isn't tied to one industry or one type of company. Banking, healthcare, retail, and e-commerce companies all rely on data driven decision making, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the complete data science workflow, from data cleaning and statistics through machine learning and predictive modeling, so what you learn maps to what data analysts and data scientists actually do day to day.
Runs across every data driven industry
Banking, healthcare, retail, and e-commerce companies all rely on data scientists and analysts, so your skills aren't locked to one sector.
A statistics first approach to data science
R was built specifically for statistical computing, giving you a stronger grounding in the statistical concepts, hypothesis testing, distributions, and regression, that underpin machine learning, rather than treating models as black boxes.
Enterprise recognized skillset
R is used by global enterprises, research institutions, and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
A certified entry level Data Analyst or Data Science Associate can realistically expect an average starting package scaling between ₹3.5 to 6 LPA across major technical hubs, moving to ₹7 to 13 LPA within 1 to 2 years and ₹14 to 22 LPA with 2 to 4 years of experience.
Build Practical R & Data Analytics Skills
Work with industry-relevant R tools and statistical techniques used for data analysis, visualization, predictive modeling, and reporting. Gain hands-on exposure to the technologies and methods employers look for in data analytics roles.
Module by Module Data Science with R Syllabus
This Data Science with R course in Bangalore covers everything from R programming fundamentals to statistical modeling and machine learning, structured across 10 modules with hands on labs throughout.
Introduction to R and RStudio
- Overview of data science and the role of R in analytics
- Installing R and RStudio
- R data types, variables, and operators
- Writing your first R script
Data Structures in R
- Vectors, lists, matrices, and data frames
- Factors and their use in categorical data
- Importing data from CSV, Excel, and databases
- Exploring and summarizing data structures
Data Manipulation with dplyr and tidyr
- Filtering, selecting, and arranging data with dplyr
- Grouping and summarizing data
- Reshaping data with tidyr
- Joining and merging datasets
Data Cleaning and Preparation
- Handling missing values and outliers
- Data type conversions and string manipulation
- Data validation techniques
- Preparing data for analysis and modeling
Data Visualization with ggplot2
- Grammar of graphics and the ggplot2 framework
- Creating bar charts, histograms, and scatter plots
- Customizing plots: themes, labels, and legends
- Building multi-panel visualizations
Descriptive and Inferential Statistics
- Measures of central tendency and dispersion
- Probability distributions: normal, binomial, and Poisson
- Sampling and the Central Limit Theorem
- Confidence intervals
Hypothesis Testing
- Formulating null and alternative hypotheses
- t-tests, chi-square tests, and ANOVA
- p-values and statistical significance
- Applying hypothesis tests to real datasets
Regression Analysis
- Simple and multiple linear regression
- Model assumptions and diagnostics
- Logistic regression for classification problems
- Evaluating model performance
Machine Learning Fundamentals
- Introduction to supervised and unsupervised learning
- Decision trees and random forest
- K-Means and hierarchical clustering
- Model evaluation: accuracy, precision, and recall
Real Time Project and Interview Preparation
- Building an end-to-end data science project from raw data to insights
- Time series analysis basics
- R Markdown for reporting and presenting findings
- Common data science interview questions and resume guidance
Who Should Join This Data Science with R Course

Choose a Batch That Fits Your Schedule
This Data Science with R course in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on lab exercises and live projects.
Ideal for freshers and full time learners.
- 1 to 2 hrs/day · Mon to Fri
- Morning and evening slots
- 8 to 10 weeks total
- Max 20 students
Best suited for working professionals.
- 2 to 3 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Trained by Industry Experts, Not Just Instructors
MNP's Data Science with R trainers are seasoned data science practitioners with over 8 years of industry experience across statistical analysis, data visualization, and machine learning. Every session is built around real live project work and the kind of questions that come up in data analyst and data scientist interviews.
Data Science Lead Consultant10+ years in statistical analysis, R programming, and data science training
Machine Learning SpecialistExpert in regression, classification, and clustering techniques
Data Visualization and Reporting ExpertSpecializes in ggplot2, R Markdown, and business dashboard design
Learn From Professionals With Real-World Experience
Our Data Science with R training in Bangalore with placement support includes:
Resume building with Data Science and Analytics specific templates
Mock technical interviews with real data science and statistics interview questions
LinkedIn profile optimization
Direct referrals to hiring partners actively seeking Data Science professionals
Weekly job notifications for Data Analyst, Data Scientist, and Business Analyst roles in Bangalore
Offer letter and salary negotiation guidance
What Our Data Science with R Students Say
These are real students who trained at MNP Technologies and went on to secure Data Analyst and Data Scientist roles across Bangalore.
Frequently Asked Questions
What is the difference between Data Science with R and Data Science with Python?

Ans: R was built specifically for statistical computing and is often preferred for deep statistical analysis and academic research. Python is a general purpose language that's widely used for data science alongside web development and automation. Both are used heavily in the industry, and the core data science concepts, statistics, modeling, and machine learning, transfer between them.
Is this Data Science with R course suitable for freshers with no prior programming experience?

Ans: Yes. The course starts with R and RStudio basics before moving into data manipulation, statistics, and machine learning, so freshers with basic computer knowledge can follow along comfortably.
Do I need a strong mathematics background to learn data science?

Ans: A basic comfort with numbers helps, but you don't need an advanced mathematics background. The course builds the required statistical concepts, distributions, hypothesis testing, and regression, step by step as part of the curriculum.
What starting salary can an entry level Data Science professional expect in India?

Ans: A certified entry level Data Analyst or Data Science Associate can realistically expect an average starting package scaling between ₹3.5 Lakhs to ₹6 Lakhs per annum (LPA) across major technical hubs.
Why is R still relevant for data science given the popularity of Python?

Ans: R remains widely used in research, academia, and statistics heavy industries like pharmaceuticals and finance, because of its strong statistical libraries and visualization capabilities. Many data teams use R and Python together depending on the task.
Will I get hands-on practice with real datasets during this course?

Ans: Yes. Practical mastery requires direct hands-on practice cleaning, visualizing, and modeling real datasets, culminating in a real time end to end data science project.
What kind of job roles can I apply for after this course?

Ans: Graduates typically enter the market as Data Analyst, Junior Data Scientist, Business Analyst, and Statistical Analyst.
What is the duration of the Data Science with R program at MNP Technologies?

Ans: The comprehensive, practical Data Science with R learning track spans a total duration of 70 to 90 hours of structured training and lab simulations, depending on batch type and pace.
Is there Data Science with R training in Marathahalli?

Ans: Yes, MNP Technologies conducts classroom Data Science with R training in Marathahalli, Bangalore, alongside live online Data Science with R training available across India, both capped at a maximum of 20 students.

Ready to Build Your Data Science Career?
Gain practical, job-ready skills in data analysis, machine learning, and Python through industry-focused training. Choose a weekday, weekend, or online batch and take the next step toward your data science career.
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