R Programming for Data Science
R Programming is a language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
About This Course
R is a programming language used to carry out statistical analysis on data sets. In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. This course introduces the statistical processing power of the R language.
Learning Objectives
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R
Learn how to create variables
Understand the Normal distribution
Requirements
- No prior knowledge or experience needed.
Target Audience
- Freshers
- College Students
- Anyone want to learn how to program in R
- Anyone who want to learn R by doing
Curriculum
47 Lessons12h
Data Structure
Creating Vectors
Manipulating Vectors
Sorting Vectors
Using Lists in R
Creating Matrices
Matrix Operations
Creating Factors
Creating Data Frames
Data Frame Operations
Practical Exercise
Importing and Exporting Data
Data Exploration
Regression Methods
Classification & Clustering
Data Visualization
