175,00 €
R Programming is essential for data scientists, statisticians, and researchers. This programming language lets you manipulate, analyse, and visualise data quickly. It’s an open-source language that has gained widespread popularity due to its flexibility, robustness, and statistical capabilities.
With our course, you will learn the fundamental concepts of R Programming and how to use it for data analysis, visualisation, and modelling. You will learn to manipulate data frames, clean and preprocess data, and build predictive models using machine learning algorithms.
R Programming for Data Science Level 3, 4 & 5:
This course is designed to provide individuals with a comprehensive understanding of data science and R programming. The course includes three levels: Level 3, Level 4, and Level 5.
Level 3 Curriculum provides an overview of data science and introduces students to R programming language. This level consists of six units: Data Science Overview, R and RStudio, Introduction to Basics, Vectors, Matrices, and Factors.
Level 4 Curriculum focuses on data manipulation and analysis using R. This level consists of seven units: Data Frames, Lists, Relational Operators, Logical Operators, Conditional Statements, Loops, and Functions.
Level 5 Curriculum focuses on advanced topics in data manipulation and analysis using R.
This course is suitable for the following:
Anyone can enrol in this R Programming for Data Science course.
| Hours · Self-Paced | 15 |
|---|---|
| Language | English |
