Data Science: R Basics Training

Live Online & Classroom Enterprise Training

Data Science: R Basics introduces the fundamentals of programming in R for data analysis. It covers data types, functions, data manipulation, and basic visualization techniques.

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What is Data Science: R Basics Training about?

This course provides a beginner-friendly introduction to R programming; a powerful language widely used in data science and statistics. Learners will explore fundamental programming concepts such as variables, vectors, data frames, and functions. By the end of the course, participants will be able to manipulate, analyze, and visualize data using R, building a solid foundation for advanced topics in data analysis, machine learning, and statistical modeling.

What are the objectives of Data Science: R Basics Training ?

Understand the basics of R syntax and programming structure.
Work with data types such as vectors, matrices, and data frames.
Use R functions for basic data manipulation and analysis.
Apply statistical methods using R.
Create simple data visualizations with R’s built-in libraries.

Who is Data Science: R Basics Training for?

Beginners in programming and data science.
Students pursuing data analytics or statistics.
Professionals transitioning into data-focused roles.
Researchers working with statistical data.
Anyone interested in learning R for data analysis.

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

Prerequisites:

No prior programming experience required.
Basic understanding of mathematics and statistics.
Familiarity with data concepts (rows, columns, datasets).
Willingness to engage in coding exercises.
Interest in data analysis and visualization.

Learning Path:

Introduction to R and RStudio
Data Types, Variables, and Operators in R
Working with Vectors, Lists, and Data Frames
Functions, Loops, and Control Structures
Basic Data Analysis and Visualization in R

Related Courses:

Data Science: Productivity Tools
Data Science Research Methods: R Edition
Introduction to Statistics with R
Data Visualization with R

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

Module 1- R Basics, Functions, and Data Types

Motivation and Getting Started

R Basics

Data Types

Module 2- Vectors, Sorting

Vectors

Sorting

Vector Arithmetic

Module 3- Indexing, Data Wrangling, Plots

Indexing

zasic Data Wrangling

Basic Plots

Module 4- Programming Basics

Introduction to Programming in R

Conditionals

Functions

For Loops

Who is the instructor for this training?

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

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