R Programming Syllabus

Duration: 45 Days | Total Hours: 50+ | Fee 5000/-

Module	Chapter	Topics	Hours
Chapter 1: Introduction to R
Module 1	Introduction	Introduction to R, Installation, RStudio, Basic Commands	2
Chapter 2: Data Types , Variables and Control Structures
Module 2	Variables, Data Types	Data Types, Variables, Type Conversion Vectors, Lists, Matrices, Arrays, Factors	2
Module 3	Operators	Operators: Arithmetic, Relational, Logical, Assignment	2
Module 4	Conditional Statements	Conditional Statements: if, elif, else	2
Chapter 3:loops
Module 5	Loops	for, while,repeat, break, next	3
Module 6	Functions	Functions in R, Arguments, Return, Scope	3
Chapter 4: Data Handling
Module 7	Import/Export data	Data Frames, Import/Export, Reading CSV, Excel, Text	3
Module 8	Apply() functions	SApply, lapply, sapply, tapply, aggregate	2
Chapter 5: Data Visualization
Module 9	Data Visualization	Basic Plots: barplot, histogram, boxplot, pie	2
Module 10	ggplot2	ggplot2: Grammar of Graphics, Layers, Themes	2
Chapter 6: Statistical Analysis
Module 12	(Data)Statistical Analysis	Descriptive Stats, Mean, Median, SD, Correlation,Hypothesis Testing: t-test, chi-square, ANOVA	4
Chapter 7: Introduction to Machine Learning
Module 13	Machine Learning models	Linear Regression, Logistic Regression,	3
Module 14	Machine Learning models	Decision Trees, Clustering (k-means)	4
Chapter 7: Final Project
Module 13	Project	Project: Data Cleaning, Analysis, Visualization	3

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