R Programming Training – Learn Data Science, Statistics & Machine Learning with R

SKU: 8410
10 Lesson
|
24 Hours
4 (1 reviews)
This R Programming Training course at igmGuru is designed to take students from complete beginners to proficient R developers capable of solving real-world data science and analytics problems. The curriculum covers Core R Programming, Advanced R, Statistical Analysis, Data Wrangling, Data Visualization, Machine Learning with R, and Business Intelligence reporting.

Overview

Course Pre-requisites

  • No prior programming experience is required. Basic computer knowledge is sufficient.
  • Familiarity with basic mathematics and statistics is beneficial but not mandatory.
  • Understanding of spreadsheet tools like MS Excel is helpful.

Objectives of the R Programming Course

  • Understand the fundamentals of R programming language, syntax, and data structures.
  • Perform statistical analysis, hypothesis testing, and data manipulation using R.
  • Build compelling data visualizations using ggplot2, Plotly, and base R graphics.
  • Apply machine learning algorithms using R packages such as caret, randomForest, and xgboost.
  • Develop interactive dashboards and web applications using Shiny.
  • Work on real-time industry projects in finance, healthcare, retail, and more.

Who Should Do This Course

  • Data Science and Analytics aspirants
  • Statistics graduates and researchers
  • Business Intelligence and Reporting professionals
  • IT Developers who want to switch to Data Science
  • Finance, Healthcare, and Marketing professionals
  • Anyone interested in building a career in Data Science or Machine Learning

What You Will Learn

  • Introduction to R Programming
  • R Language Fundamentals
  • R Data Structures
  • Control Flow and Functions
  • String Handling and Regular Expressions
  • File and Data Input/Output
  • Object-Oriented Programming in R
  • Data Wrangling with R
  • Data Visualization with R
  • Statistical Analysis with R
  • Regression Analysis
  • Machine Learning with R
  • Time Series Analysis with R
  • Text Mining and Natural Language Processing with R
  • R Shiny – Web Application Development
  • R Markdown and Reporting
  • Advanced R Topics
  • Real-Time Projects

Career Prospects After R Programming Training

After completing this R Programming course, students can pursue roles such as:

  • Data Scientist
  • Data Analyst
  • Statistical Analyst
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Research Analyst
  • Quantitative Analyst (Finance / Banking)
  • Bioinformatics Analyst
  • R Shiny Developer

Key Features

Course Curriculum

1. Overview
2. Business Decisions and Analytics
3. Types of Business Analytics
4. Applications of Business Analytics
5. Data Science Overview
1. Overview
2. Importance of R
3. Data Types and Variables in R
4. Operators in R
5. Conditional Statements in R
6. Loops in R
7. R script
8. Functions in R
1. Overview
2. Identifying Data Structures
3. Demo: Identifying Data Structures
4. Assigning Values to Data Structures
5. Data Manipulation
6. Demo: Assigning values and applying functions
1. Overview
2. Introduction to Data Visualization
3. Data Visualization using Graphics in R
4. ggplot2
5. File Formats of Graphic Outputs
1. Introduction to Hypothesis
2. Types of Hypothesis
3. Data Sampling
4. Confidence and Significance Levels
1. Overview
2. Hypothesis Test
3. Parametric Test
4. Non-Parametric Test
5. Hypothesis Tests about Population Means
6. Hypothesis Tests about Population Variance
7. Hypothesis Tests about Population Proportions
1. Overview
2. Introduction to Regression Analysis
3. Types of Regression Analysis Models
4. Linear Regression
5. Demo: Simple Linear Regression
6. Non-Linear Regression
7. Demo: Regression Analysis with Multiple Variables
8. Cross Validation
9. Non-Linear to Linear Models
10. Principal Component Analysis
11. Factor Analysis
1. Overview
2. Classification and Its Types
3. Logistic Regression
4. Support Vector Machines
5. Demo: Support Vector Machines
6. K-Nearest Neighbours
7. Naive Bayes Classifier
8. Demo: Naive Bayes Classifier
9. Decision Tree Classification
10. Demo Decision Tree Classification
11. Random Forest Classification
12. Evaluating Classifier Models
13. Demo: K-Fold Cross Validation
1. Overview
2. Introduction to Clustering
3. Clustering Methods
4. Demo: K-means Clustering
5. Demo: Hierarchical Clustering
1. Overview
2. Association Rule
3. Apriori Algorithm
4. Demo: Apriori Algorithm
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Course Fees

SELF PACED LEARNING

US $ 299.00
Refund Policy
  • Duration : 24 hrs
  • Lifetime Free Upgrade
  • Reference Documents
  • 24x7 Support & Access

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 24 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 30 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Data Science with R Certification Exam

A Data Science with R certification exam is a test that assesses a candidate's knowledge and skills in using R for data science tasks. The exam typically covers topics such as data wrangling, exploratory data analysis, statistical modeling, machine learning, and data visualization. With igmGuru, you can prepare for and pass the exam effortlessly.

The format of the exam can vary depending on the organization offering the certification. Some exams may be taken online and consist of multiple-choice questions, while others may be taken in-person and consist of a combination of multiple-choice and open-ended questions.

To prepare for a Data Science with R certification exam, it is recommended to have a solid understanding of the R programming language, as well as experience working with data in R. Practicing with sample exam questions, working on data science projects, and reviewing relevant materials such as tutorials and documentation can also help in preparing for the exam.

It's important to note that different certification exams might have different focus and requirements, you should check with the organization offering the certification for more information.

Data Science with R Certification Exam

FAQ's

Yes, igmGuru offers several other online certification courses. These include specialized online certification courses, tailored to different levels. igmGuru, greatly emphasizes upskilling and boosting career opportunities across any industry sectors, with each online certification course designed to help learners enhance their expertise.

R has a wide range of applications in data science, particularly in ETL (Extract, Transform, Load) and data presentation. It integrates smoothly with databases such as SQL and spreadsheets, making it perfect for managing large datasets. R's visualization skills are extremely useful for developing complete, visually appealing charts, allowing data scientists to successfully understand and explain complicated discoveries.

Yes, igmGuru offers several other online courses under Business Intelligence. These include specialized online courses, tailored to different skill levels. igmGuru greatly emphasizes upskilling and boosting career opportunities across IT industry sectors, with each online course designed to help learners enhance their expertise in Business Intelligence. Below are few courses.

The team of our Qualified mentors is Data Science with R ensured. They bear the long stretches of ability to instruct and managing within the cloud space. The final section process includes a vigorous round of screening, specialized examination, and an instructing demo before the trainer is ensured to mentor our batches for!
The R for data science course training will be conducted online through live meetings and will have a minimum total duration of 40 hours
Yes, R for Data Science course is a certification based training and certification is provided online after one has successfully cleared the practical data science with R test and accomplished the required score
The price of the R/Data science course is listed on the website of igmGuru. For the payment mode, we strictly do not accept cash entries. You can pay through our payment portal using your Credit / Debit Card or UPI.
Additional benefits include: 1. Small batches up to 10 candidates 2. Lifetime support and access 3. 1 on 1 training option available 4. Flexible schedule
R is one of the top chosen languages when it comes to aspiring data researchers or professionals because of its versatility. By enrolling in our Data Science with R Training program, you will be able to gain all essential skills and knowledge related to this amazing language. Learn from industry experts and give your career a solid learning foundation.
The Data Science with R course online offered by IgmGuru is designed to provide individuals with a comprehensive understanding of data science using the R programming language. This course covers various topics such as data manipulation, data visualization, statistical analysis, machine learning, and predictive modeling using R. Participants will learn how to handle and analyze large datasets, perform exploratory data analysis, build machine learning models, and generate actionable insights. By completing the Data Science with R course, individuals can acquire the necessary skills to work on data-driven projects, solve complex problems, and make data-driven decisions. This course is ideal for aspiring data scientists or professionals looking to enhance their data science capabilities using the R programming language.

The best way to learn data science with R is by enrolling in igmGuru’s Data Science with R online training program. Learn from subject experts with the right blend of knowledge and skills. Become a pro in these technologies with us.

Yes, R is being used for data science in various ways, including handling, analyzing, and storing data. R is also widely used for statistical modeling and data analysis.

Whether R is enough for data science for you depends upon your career goals and future wishes. For instance, R is a great option for those who are more interested in data visualization and statistical calculator aspects of being a data scientist. However, those who are interested in becoming a data scientist to work with deep learning algorithms, artificial intelligence, and big data, then you should also think about going for Python.

Both Python and R have their own perks in terms of being related to data science. Those interested in becoming a data scientist to primarily work with data visualizations and statistical analysis must go for R.

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