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R Programming Training in Nepal
Data Visualization, Data Structure, and R Fundamentals Training in Kathmandu, Nepal
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 14/07/2026
Created On: 17/06/2022
Course Overview
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.
Tools Covered
Some of the major industry-relevant tools you'll work with in this course include:
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R
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ggplot2
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Git/GitHub
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R Markdown
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LaTeX
Students who got hired learning with us
Hear from graduates who have completed our courses.
College/Faculty: Nepal Commerce Campus / Bachelor of Information Management
Working At: Brahmabyte Lab
Position: Graphics Design Intern
College/Faculty: Birat Kshitiz College / BCA
Working At: TechHaus
Position: DevOps Intern
College/Faculty: Kantipur Engineering College / Bachelor in Computer Engineering
Working At: Surgience Nepal
Position: Researcher and Developer
College/Faculty: Nepathya College / BCA
Working At: Palm Mind Technology Pvt. Ltd.
Position: QA Engineer
Our graduates are hired by 470+ companies in Nepal
Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
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Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. 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)
Lesson 2: Data Visualization
- 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
Upcoming Classes (5)
Why R Programming Training?
Data Analysis Skill: Learn R for statistical analysis, data processing, and working with complex datasets.
Statistical Computing: Apply R to perform statistical tests, calculations, and data-driven analysis.
Data Visualization: Create clear and meaningful charts and visualizations to present insights effectively.
Powerful Visualization: Use R libraries like ggplot2 to create precise, customizable visualizations that make data easier to understand and present.
Practical Data Work: Work with real datasets to develop hands-on experience in analysis and interpretation.
Industry Applications: Use R in fields such as data science, research, finance, business, and statistics.
Quick Inquiry
Choose class schedule(s)
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27 Oct 2026
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02 Nov 2026
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16 Nov 2026
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23 Nov 2026
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26 Nov 2026