R Programming Training in Nepal

R Programming Training in Nepal

Data Visualization, Data Structure, and R Fundamentals Training in Kathmandu, Nepal

Both, Physical & Live Online Classes, including Online Live Night Classes

More than 19000+ students have started their career after getting certified from Broadway Infosys.

Created On: 17th June, 2022

Update On: 20th February, 2026

Course Overview
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Broadway Infosys has introduced international standard R programming training in Nepal to produce highly competent data analysts, statistical computing experts and data scientists. R is an open source programming language which is gaining global popularity in the programming world.

Simply put, R is currently the best tool there is for data analysis and Broadway has designed this special career-oriented course to educate the students on handling big data and dealing with statistical computing issues. This course is a vital steppingstone for those seeking to excel in their career as data scientists or data managers. Therefore, trainees can learn R programming in Nepal at Broadway under the supervision of experienced and professional data experts.

Broadway is a leading IT services provider. It offers encouragement and knowledge to its students. R programming training sessions are no different. It is given equal priority and runs with effectiveness. Ergo, the seats at Broadway are often limited because of growing popularity of R programming so reserve your seat at the earliest forour upcoming R programming training session.

Skills you’ll learn

R Fundamentals & Data Structures : Learn about basic syntax and operators along with working with vectors, factors, arrays, matrices, lists, and data frames.
R Programming Basics : Perform conditional statements, write and debug functions, install packages, and build reusable code.
Data Input & File Handling : Read and write data from various file formats, including CSV, Excel, text files, and cloud sources such as Google Drive or GitHub.
String and Date Handling : Perform string operations, regular expressions, date formats, and date manipulations.

Benefits of R Programming Training

  • R is preferable due to its extensive diversity in statistical, graphical, and mathematical techniques for comprehensively analyzing data across a wide range of fields.
  • Its visualization libraries, such as ggplot2, help create precise and customizable plots for effective data interpretation and presentation.
  • R is an open-source tool with a wide range of packages from a global community, enhancing its capability and versatility.
  • R's statistical capabilities facilitate the development of sophisticated models for predictive analytics and decision-making.
  • R programming language expands career potential in data-oriented industries such as Data Science, Finance, Health, or Education.
  • The active R community provides forums, resources, and opportunities for collaboration, fostering learning and growth.
  • R empowers professionals to extract insights from data for informed, strategic decisions.

Benefits of R Programming Training at Broadway Infosys

  • Expert R practitioners as instructors.
  • Affordable training costs with discounts offered to deserving students.
  • Availability of well-equipped training labs.
  • Opportunity to network with an increasingly diverse R community.
  • Ensures internship and job placement in the related field.
  • Availability of interactive and productive training sessions.
  • Regular projects are offered to assess students' abilities.

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Our syllabus outlines are only the headlines of the major modules. For the complete understanding of the course, we provide a free counseling. Send your inquiry today!

Lesson 1: R Fundamentals

  • Basic Syntax & Parameters
  • Math, Variables & Strings
  • R Operators

  • Vector and Factor
  • Arrays & Matrix
  • Lists
  • Data-frames

  • Conditional Statements
  • Usage of Functions
  • Debugging & Others
  • Package installation
  • Creating Functions

  • Reading CSV & Excel Types File-format
  • Reading text files
  • Reading Files from Cloud platforms (e.g., Google Drive, GitHub, etc.)
  • Writing and saving data objects to file

  • String operations
  • Regular Expressions
  • Dates

  • Merge two dataset
  • Append/bind two datasets.
  • Filter & Select function.
  • Summarize and Grouping Functions
  • Data Modification functions

  • Descriptive statistics
  • Summary Statistics
  • Table Generation (One Way, Multi-Way)

  • T-test
  • One Sample t-test
  • Independent Sample t-test
  • Paired Sample t-test
  • One Way ANOVA
  • Chi-square test
  • Correlation
  • Regression
  • Non-Parametric test (Kruskal – Wallis / Man-Whitney Test)

  •  Bar Charts
  •  Histograms
  •  Pie-Charts

  • Scatter Plots
  • Line Plots & Regression
  •  Waffle Charts
  •  Box Plots

  • Project directory
  • Version control

  • Assignment writing in Latek Language
  • Math’s and Equations in Latex
  • CV creation
  • Scientific Writing with referencing
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Upcoming Classes (5)
22 Mar 2026
23 Mar 2026
29 Mar 2026
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