R Programming Basics for Data Science Training

Live Online & Classroom Enterprise Training

Learn the fundamentals of R programming and build a strong foundation for data science, including data manipulation, visualization, and basic statistical analysis.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is R Programming Basics for Data Science Training about?

This course introduces learners to the R programming language, one of the most widely used tools in data science and analytics. It covers essential concepts such as data types, data structures, data manipulation, and visualization using popular R libraries. By the end of the course, learners will be able to analyze datasets, create insightful visualizations, and apply basic statistical techniques to solve real-world problems.

What are the objectives of R Programming Basics for Data Science Training ?

Understand core concepts of R programming
Learn data manipulation and transformation techniques
Perform exploratory data analysis (EDA)
Create data visualizations using R libraries
Apply basic statistical analysis methods

Who is R Programming Basics for Data Science Training for?

Beginners interested in data science
Students from analytics or statistics backgrounds
IT professionals transitioning into data roles
Business analysts seeking data insights skills
Researchers handling data-driven projects

What are the prerequisites for R Programming Basics for Data Science Training?

Prerequisite:

Basic understanding of computers
Familiarity with data concepts
Knowledge of basic mathematics/statistics
No prior programming experience required
Interest in data analysis

Learning Path:

Introduction to R and RStudio
Data structures and data handling
Data cleaning and preprocessing
Data visualization with ggplot2
Basic statistical analysis in R

Related Courses:

Python for Data Science
Data Analysis with Excel
Statistics for Data Science
Machine Learning Fundamentals

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to R Programming

What is R and its applications

Installing R and RStudio

R interface and basic commands

Writing and executing scripts

Module 2: Data Types and Structures

Variables and data types

Vectors, matrices, arrays

Lists and data frames

Factors and handling categorical data

Module 3: Control Structures and Functions

Conditional statements (if, else)

Loops (for, while)

Writing functions in R

Debugging techniques

Module 4: Data Manipulation

Importing and exporting data

Data cleaning techniques

Using dplyr for data transformation

Handling missing values

Module 5: Data Visualization

Introduction to data visualization

Creating plots using base R

Advanced visualization with ggplot2

Customizing charts and graphs

Module 6: Exploratory Data Analysis (EDA)

Summary statistics

Data distribution analysis

Correlation and relationships

Identifying trends and patterns

Module 7: Basic Statistics in R

Descriptive statistics

Probability distributions

Hypothesis testing basics

Regression analysis introduction

Who is the instructor for this training?

The trainer for this R Programming Basics for Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree