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1
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Introduction
3
Agenda
4
Installing R and R-studio
5
Variables, Datatypes and Operators
6
Vector in R
7
List, Matrix and Array in R
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Inbuilt Functions in R
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Flow Control Statements in R
10
Data Manipulation with dplyr
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Data Visualization with ggplot2
12
Pokemon Case Study
13
Intro to Neural Networks
14
Demo: Neural Networks using R
Description:
Embark on a comprehensive 3-hour journey into R programming for beginners. Master the fundamentals of this powerful statistical computing language, starting with installation and progressing through variables, data types, and operators. Explore essential R structures like vectors, lists, matrices, and arrays, while learning to leverage inbuilt functions and flow control statements. Dive into practical data manipulation using dplyr and create stunning visualizations with ggplot2. Apply your newfound skills to a Pokemon case study, and conclude with an introduction to neural networks, including a hands-on demonstration using R. Gain the knowledge and confidence to kickstart your data analysis and statistical computing journey with this in-depth tutorial.

R Programming for Beginners - Learn R in 3 Hours

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