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R Programming For Beginners-Full Course | Learn R in 3 Hours| R Language Tutorial | Great Learning

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Learn R Programming for Beginners in our 3-hour video releasing today! R is a programming language software environment used for statistical computing and graphics. Owing to its computational power, the R programming language is extremely favoured by statisticians and data analysts and data miners for the purpose of carrying out data analysis and developing statistical software. These factors have made R to be one of the most favoured programming languages with data science, which is exactly why so many people want to learn it today.
Great Learning brings you this tutorial on R Programming for Beginners to help you understand everything you need to know about this topic and getting started on the journey to learn about it well. This video starts with an introduction to R and its installation, followed by understanding the concepts of variables, data types and operators, etc. in R. Following this, we will understand data manipulation with dplyr and data visualization with ggplot2. Finally, we learn about neural networks! This video teaches R programming and its key functions and concepts with a case study, demonstrations & examples to help you get started on the right foot.
00:00:00 Introduction
00:01:10 Agenda
00:01:37 Installing R and R-studio
00:03:09 Variables, Datatypes and Operators
00:16:48 Vector in R
00:24:49 List, Matrix and Array in R
00:38:47 Inbuilt Functions in R
00:43:35 Flow Control Statements in R
00:54:12 Data Manipulation with dplyr
01:07:50 Data Visualization with ggplot2
01:27:16 Pokemon Case Study
02:03:31 Intro to Neural Networks
02:31:54 Demo: Neural Networks using R
About Great Learning:
- Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.
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