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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
90%+Placement Assistance Rate
15+Courses Across 6 Domains
15+Years Training IT Professionals
5,000+Students Trained
Industry Recognition

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.

Tools & Technologies

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.

R Programming and RStudio IDEData Manipulation: dplyr and tidyrData Visualization: ggplot2Descriptive and Inferential StatisticsProbability Distributions and Hypothesis TestingLinear and Logistic RegressionClassification: Decision Trees and Random ForestClustering: K-Means and Hierarchical ClusteringTime Series Analysis BasicsR Markdown for Reporting
Course Curriculum

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.

Module 1

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
Module 2

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
Module 3

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
Module 4

Data Cleaning and Preparation

  • Handling missing values and outliers
  • Data type conversions and string manipulation
  • Data validation techniques
  • Preparing data for analysis and modeling
Module 5

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
Module 6

Descriptive and Inferential Statistics

  • Measures of central tendency and dispersion
  • Probability distributions: normal, binomial, and Poisson
  • Sampling and the Central Limit Theorem
  • Confidence intervals
Module 7

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
Module 8

Regression Analysis

  • Simple and multiple linear regression
  • Model assumptions and diagnostics
  • Logistic regression for classification problems
  • Evaluating model performance
Module 9

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
Module 10

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
Is This for You?

Who Should Join This Data Science with R Course

Freshers with any degree backgroundThe eligibility for this course is basic computer knowledge, with an interest in numbers and analysis being a plus.
Statisticians and mathematics graduatesProfessionals with a quantitative background looking to apply their skills to real world data problems.
Business and data analystsAnalysts working with Excel or SQL who want to move into predictive modeling and statistical analysis.
Aspiring data scientistsIndividuals planning to build a career specifically in data science or machine learning.
Software developersDevelopers looking to add statistical modeling and analytics skills to their existing background.
Freelancers and independent consultantsProfessionals looking to upskill for data science freelance or contract opportunities.
Flexible Batch Options

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.

Weekday Batch

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
Weekend Batch

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
Live Online Available Across IndiaSame trainer, same curriculum, same batch cap (max 20). No pre-recorded videos: live coding, data analysis, and modeling demos, Q&A, and hands-on lab practice in every session.
Your Mentors

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
Placement Support

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
Student Success Stories

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.

Anjali Sahu

Anjali Sahu

Alchemy Techsol India

5 stars

Thanks to the hands-on SAP FICO training and incredible placement support at MNP Technologies. This comprehensive program gave me the exact skills and confidence I needed to successfully land my dream career.

Bharath J

Bharath J

Sumadhura

5 stars

The SAP MM training at MNP Technologies helped me gain practical knowledge, build confidence and secure a great opportunity. I’m grateful for the trainers and placement support.

Ashlesha Reddy

Ashlesha Reddy

CSS Corp Pvt Ltd

5 stars

Enrolling in MNP Technologies for AWS & DevOps was the best decision for my career, thanks to the incredibly supportive trainers who went above and beyond to solve every technical problem.

Durga Bhavani

Durga Bhavani

Sumadhura

5 stars

MNP’s live training and expert mentors gave me the practical SAP FICO skills needed to stand out. Thanks to their dedicated placement support and mock interviews, I easily secured my breakthrough corporate role!

G Manisha Naidu

G Manisha Naidu

BSOL System (P.V.T)

5 stars

The AWS & DevOps training at MNP Technologies gave me the hands-on experience and confidence I needed to grow in my career. Thank you for the great support.

Mohan Rama Chandrareddy

Mohan Rama Chandrareddy

Sumadhura

5 stars

The live project training in SAP FICO at MNP Technologies gave me a massive corporate advantage and hands-on confidence. I am incredibly thankful to MNP and their brilliant placement team for helping me.

Nadigatla Sai Praveen

Nadigatla Sai Praveen

Sumadhura

5 stars

The live training and case studies at MNP Technologies made complex SAP MM modules incredibly easy to master. Thanks to their consistent mock interviews and dedicated placement support, I built the confidence needed to clear my corporate selection process smoothly!

Syed Junaid Ahammad

Syed Junaid Ahammad

Sumadhura

5 stars

MNP’s live training and hands-on projects gave me a deep, practical understanding of SAP MM. Their dedicated placement support and mock interview sessions were excellent, helping me confidently clear my rounds and secure my job!

Monika

Monika

Course: AWS & DevOps

5 stars

Enrolling in the AWS & DevOps course at MNP Technologies was a game-changer for me. The hands-on training with real-time scenarios gave me the exact technical skills and confidence I needed to transition into the cloud industry.

Philips

Philips

Course: AWS & DevOps

5 stars

Thanks to the hands-on AWS & DevOps training and mentorship I received, I gained the confidence and real-world skills needed to successfully transition into a cloud and DevOps engineering role.

Sweta

Sweta

Deloitte · AWS & DevOps

5 stars

The practical exposure I got during my AWS & DevOps training at MNP Technologies was crucial in helping me step confidently into my role at Deloitte. The trainers focus on real-world enterprise scenarios that make all the difference.

Yogireddy

Yogireddy

Course: AWS & DevOps

5 stars

MNP Technologies doesn't just teach AWS & DevOps; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt!

Musthak

Musthak

Course: DevOps

Markappa

Markappa

Course: SAP MM

View All Reviews

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.