Chapter - I: Install R & R Studio; Basics of R: Introduction, R-Calculator, Data Types, Variables, Vectors, Tables, Lists, Factors, Matrix and Data Frames.
Chapter - II: Operators: Arithmetic operators, Relational operators, Logical operators, Assignment operators and Miscellaneous operators; Conditional Statements: If Statement, if else Statement, ifelse Statement and switch Statement.
Chapter - III: Looping Statements: For loop, while loop, repeat and Conditional Looping (break & next).
Chapter - IV: User Defining Functions and Inbuilt functions.
Chapter - V & VI: Import Datasets: read.csv( ), read.table( ); Packages: install packages, load packages, dplyr package: select, filter, arrange, rename, mutate, summarize, group_by, contains, starts_with, ends_with, Joins(left_join, right_join, inner_join, full_join, anti_join, semi_join), apply, sapply and lapply.
Chapter - VII: Visualization: scatter plot, bar plot, box plot, Histogram, pie chart, line chart and ggplot2.
Chapter - VIII: Statistical analysis: Descriptive statistics: mean, median, mode, minimum, maximum, range, variance, standard deviation, Skewness, kurtosis, etc. Inferential statistics: t-test, F - test, Z – test, Chi-square test and ANOVA; Regression Analysis: linear, multiple and logistic regression; Forecasting techniques: ARIMA models and assignment – VIII.
Chapter - IX: Machine Learning Algorithms
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