Data Science with R Programming

Data Science with R Programming is a powerful combination of statistical methods, data analysis, machine learning, and visualization techniques, all implemented through the R programming language. R is a leading language specifically designed for data manipulation, statistical modeling, and advanced graphics, making it a top choice for data scientists. By mastering Data Science with R, professionals can efficiently process and analyze large datasets to uncover meaningful insights and drive decision-making.

Upcoming Batches

Program Induction

Jaunary-28th

08:30 AM to 11:30 AM (IST)

SAT & SUN (12 WEEKS) Weekend Batch

Regular Classes

Jaunary-30th

10:00 AM to 11:00 AM (IST)

MON – FRI (75 DAYS) Weekdays Batch

Why Join this Program

Expert Trainers

Interactive sessions with industry professionals.

Hands-on Labs

Practical exercises after each module.

Flexible Learning Options

Online, self-paced, and instructor-led formats available.

Career Support

Resume building sessions, mock interviews, and job placement assistance.

Admission Closes on 15th Mar

Days

Hours

Minutes

Seconds

Corporate Training

Enterprise training for teams

Fast-track Your Career

Emax Technologies empowers learners with industry-relevant skills, leading to career advancements, better job opportunities, and higher salary growth.

Learner’s achievements

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

Best Data Science with R Programming Training in Hyderabad

Our Data Science with R Programming course is designed to take you from beginner to expert, equipping you with the skills needed to become a proficient data scientist. Through a mix of theoretical lessons, hands-on projects, and real-world case studies, you will learn to harness the power of R for solving complex business problems. Whether you are starting your data science journey or looking to enhance your analytical capabilities, this course is tailored to fit your career goals.

Key Features and Advantages of Data Science with R Programming

Specialized for Data Analysis: R was built by statisticians, for statisticians, offering specialized packages for data mining, machine learning, and data visualization.
Open Source and Highly Extensible: R is free to use and continuously evolving, with thousands of packages and community support.
Advanced Visualization Capabilities: Create complex and publication-ready plots using libraries like ggplot2, lattice, and plotly.

Data Science with R Programming Certification Advantage

Advance your career with the Data Science with R Programming certification program from Emax Technologies. This industry-focused training empowers you to master core and advanced data science techniques using R. You’ll engage with real-world analytical scenarios, apply statistical methods, and adopt best practices for building and deploying data-driven models. Through hands-on projects and practical learning, you’ll develop the skills to automate data processes, extract insights, and drive intelligent decision-making across diverse business domains.

Powered by Emax Technologies

8+ Skills Covered

6 Tools Covered

Industry Projects

Project 1

Customer Churn Prediction for Telecom Companies

In the telecom industry, retaining existing customers is crucial due to high competition. Using R programming, you can build a predictive model that analyzes customer data (such as call records, internet usage, payment history, and support tickets) to predict churn probability. Techniques like logistic regression, decision trees, and ensemble methods in R (using packages like caret, randomForest, and xgboost) can help identify customers at risk of leaving. This project would also involve data visualization (ggplot2) and creating actionable dashboards (shiny) for business stakeholders to make timely interventions.

Project 2

Sales Forecasting for Retail Chains

Retail companies depend heavily on accurate sales forecasting to manage inventory, staffing, and marketing efforts. In this project, you'll use R to analyze historical sales data, promotional calendars, and seasonality factors to forecast future sales at the product and store levels. Time series modeling techniques such as ARIMA, Prophet, and Exponential Smoothing (forecast, prophet packages) are key tools. You can also visualize trends and forecasts through interactive plots and dashboards using R libraries like plotly and shiny.

Project 3

Sentiment Analysis for Brand Monitoring on Social Media

Brands today actively monitor customer sentiment on social media platforms like Twitter and Facebook. With R, you can scrape real-time tweets or posts using APIs, preprocess the text, and use natural language processing techniques (tm, text2vec, tidytext) to perform sentiment analysis. By applying machine learning models (like Naive Bayes or SVMs), you can classify sentiments and create insightful visualizations like word clouds and sentiment timelines. This project is valuable for digital marketing teams to adjust their campaigns based on public opinion.

Project 4

Predictive Maintenance for Manufacturing Equipment

Manufacturers use predictive analytics to reduce downtime and maintenance costs. In this project, sensor data (like vibration, temperature, and usage logs) from machinery can be analyzed using R to predict equipment failures before they happen. Techniques such as anomaly detection (anomalize, tsoutliers) and survival analysis can be implemented to model failure patterns. The project would involve building dashboards to monitor machine health in real-time, providing alerts when maintenance actions are needed.

Project 5

Health Risk Prediction in Insurance Industry

Insurance companies use predictive models to assess the health risk profile of policyholders. With R, you can build a model using datasets that include medical history, demographic information, and lifestyle habits. Machine learning techniques like logistic regression, decision trees, and ensemble models (caret, mlr) are used to predict health risks such as the probability of chronic diseases. You can also perform risk segmentation and create interactive tools for underwriters using R's shiny package to support smarter policy pricing and approval decisions.

An Immersive Learning Experience

Peer to Peer Engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring Session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Data Science with R Programming Training Course Overview

Course Content

Introduction to Data Science and R

What is Data Science?
Applications of Data Science
Why R for Data Science?
Installing R and RStudio
RStudio Interface Overview
Writing and Executing R Scripts

R Basics and Data Structures

Variables and Data Types
Vectors, Lists, Matrices, Arrays
Data Frames and Tibbles
Factors
Indexing and Subsetting

Data Manipulation with dplyr and tidyr

Introduction to the Tidyverse
Selecting, Filtering, Arranging Data
Mutate and Summarize
Grouping Data
Reshaping Data: gather(), spread(), pivot_longer(), pivot_wider()
Handling Missing Values

Data Import and Export

Reading CSV, Excel, and Text Files
Reading JSON and XML
Connecting to Databases (e.g., MySQL using DBI)
Exporting Data to Various Formats

Data Visualization with ggplot2

Grammar of Graphics
Creating Bar Charts, Histograms, Boxplots
Scatter Plots and Line Graphs
Faceting and Themes
Customizing Plots

Statistical Analysis in R

Descriptive Statistics
Probability Distributions
Hypothesis Testing (t-test, chi-square, ANOVA)
Correlation and Covariance
Linear Regression Analysis

Exploratory Data Analysis (EDA)

Understanding Data with Summary Statistics
Visual EDA Techniques
Identifying Outliers and Data Imbalance
Feature Engineering and Transformation

Machine Learning with R (using caret/mlr)

Supervised vs Unsupervised Learning
Train/Test Split and Cross Validation
Linear & Logistic Regression
Decision Trees & Random Forests
K-Nearest Neighbors (KNN)
K-Means Clustering
Model Evaluation Metrics (Accuracy, Precision, Recall, ROC)

Time Series Analysis

Basics of Time Series Data
Decomposition and Seasonality
ARIMA Modeling
Forecasting Techniques
Visualization of Time Series

Text Mining and Natural Language Processing (NLP)

Text Preprocessing (Tokenization, Stop Words, etc.)
Bag of Words and TF-IDF
Sentiment Analysis
Word Clouds and Text Visualization

Working with Big Data in R

Introduction to big data and Hadoop/Spark
Using sparklyr for Spark Integration
dplyr with Big Data
Basic MapReduce in R

R for Web Scraping and APIs

Web Scraping with rvest
API Data Access using httr
Parsing JSON Data

Report Generation and Dashboarding

Creating Reports using R Markdown
Building Dashboards with Shiny
Interactive Visualizations

Capstone Project

Define a Real-world Problem
Data Collection and Cleaning
EDA and Feature Engineering
Model Building and Evaluation
Insights and Report Presentation

Contact Us

+91-9948444808

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Program Trainers

Sasank raj

Sr. SAP PI/PO Consultant

18+ Years of Experience

Companies Hiring

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

Testimonial

The Gen AI module was an eye opener for me. The mentor’s teaching style in the weekend sessions was spot on. While there’s a lot of Gen AI content online, this module stood out for its structured approach and the mentor’s interactive guidance. It made learning about AI easy, even for beginners like me.

Ashif Khan

Lead Consultant

Reviews

Excellent training experience from EMAX Technologies. I took the SAP PI/PO and it was a great experience . I liked trainer sessions as he was more focused on practical rather than theory and helped answer all the queries during the sessions. . Support staff is excellent and very professional, the amount of time they spend with each customer is really appreciated. Keep up the great work!..Great work done by guys like U………!!!!!!!!!!!!!!!!

Sripal

SAP PI/PO training is excellent. Classes were well organized and hands-on. Trainer knew their subject matter, and patient.

Madhusudhan

Undergone SAP PI training. Course content is covered properly and had a good hands on. (PI require lot of hands on). Good support from staff. Overall very satisfied with faculty, staff, lab etc., PI Faculty

Raviteja

Frequently Asked Questions

What if I miss a class?

You will never miss a lecture at Emax You can choose either of the option: View the recorded session of the class available in your LMS.

What if I have queries after I complete this course?

Your access to the Support Team is for lifetime and will be available 24/7. The team will help you in resolving queries, during and after the course.

How soon after Signing up would I get access to the Learning Content?

Post-enrolment, the LMS access will be instantly provided to you and will be available for lifetime. You will be able to access the complete set of previous class recordings, PPTs, PDFs, assignments. Moreover the access to our 24×7 support team will be granted instantly as well. You can start learning right away.

Is the course material accessible to the students even after the course training is over?

Yes, the access to the course material will be available for lifetime once you have enrolled into the course.

Transforming aspirations into achievements with expert IT training and career guidance, Emax Technologies, your pathway to success.

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SAP® is a registered trademark of SAP SE in Germany and in several other countries. All SAP modules, including but not limited to SAP FI (Financial Accounting), SAP MM (Materials Management), SAP SD (Sales and Distribution), SAP HR (Human Resources), SAP FICO (Financial Accounting and Controlling), SAP PP (Production Planning), and others, are proprietary products of SAP SE.

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SAP® is a registered trademark of SAP SE in Germany and in several other countries. All SAP modules, including but not limited to SAP FI , SAP MM , SAP SD , SAP HR , SAP FICO , SAP PP , and others, are proprietary products of SAP SE.