Course Catalog
Course Catalog
Non-Certification Course

R Programming for Data Science

This course introduces the fundamentals of the R language for data science, covering data types, manipulation techniques, and practical programming tasks. It emphasizes hands-on learning with RStudio, data frames, and Watson Studio for data-driven insights.

RM 2,599.00

per person

Level

Foundation

Duration

2 Days

Training Delivery Format

Face-to-face / Virtual Class

Request a quote
RM 2,599.00

per person

Level

Foundation

Duration

2 Days

Training Delivery Format

Face-to-face (F2F) / Virtual Class

Request a quote

Class types

Read more

Public Class

Private Class

In-House Training

Bespoke

When working in the field of data science, it is essential to familiarize yourself with the R language and its significance in data analysis. This course serves as an introduction to the fundamentals of the R language, covering topics such as data types, manipulation techniques, and implementation of basic programming tasks.

The course provides a foundation for understanding common data structures, essential programming concepts, and data manipulation using the R programming language. The emphasis is on practical, hands-on learning, enabling you to write simple programs using RStudio, manipulate data in data frames or matrices, and undertake a final project as a data analyst.

You will utilize tools like Watson Studio and Jupyter notebooks to gather and analyze data-driven insights throughout the course.

You will learn:

  • Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.
  • Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, and handle errors.
  • Construct and manipulate R data structures, including vectors, factors, lists, and data frames.
  • Read, write, and save data files and scrape web pages using R.

No prior knowledge of R, or programming is required.

R Basic

  • Welcome to Introduction to R Programming for Data Science
  • Introduction to R Language
  • Basic Data Types5mMath, Variables, and Strings
  • R Environment
  • Introduction to RStudio
    Writing and Running R in Jupyter Notebooks

Common Data Structures

  • Vectors and Factors
  • Vector Operations
  • Lists
  • Arrays and Matrices
  • Data Frames

R Programming Fundamentals

  • Conditions and Loops
  • Functions in R
  • String Operations in R
  • Regular Expressions
  • Date Format in R
  • Debugging

Working with Data

  • Reading CSV, Excel, and Built-in Datasets
  • Reading Text Files in R
  • Writing and Saving to Files
  • HTTP Request and REST API 
  • Web Scraping in R 

 

HRD Corp Claimable Course

At this time, this course is available for private class and in-house training only. Please contact us for any inquiries. 

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