R Programming

R Programming course is offered by Media3 Training. Media3 stands as a proactive, growth-oriented organization aiming at professional excellence with a pool of talented and dedicated workforce. Our key strengths are motivated associates; value-based work ethics, experienced personnel (live tech leads) and state of the art infrastructure.

Course Content:

• Schedule-1
• What is R programming?
• Advantages of R ?
• What we can do with R?
• Statistics using R?
• Overview and History of R
• Schedule-2
• Installing R in Mac/Windows/Ubuntu
• Installing R studio in Mac/Windows/Ubuntu
• Setting up Working Directory for (Windows/Mac)
• R Console Input and Evaluation
• Schedule-3, 4
• R Objects and Attributes
• Vectors and Lists
• Matrices
• Factors
• Missing Values
• Data Frames
• Reading Large tables, Reading Tabular data
• Schedule -5
• Subsetting – Basics
• Subsetting – Lists
• Subsetting – Matrices
• Subsetting – DataFrames
• Vectorized operations
• Schedule -6
• If-else
• While
• For
• Repeat, Next, Break
• Schedule-7
• Loop Functions
• Lapply
• apply
• mapply
• tapply
• split
• Schedule-8
• Generating Random Numbers
• Simulating linear model
• Random sampling
• Schedule-9
• Working with dplyr package
• Schedule-10
• Working with lubridate package
• Schedule-11
• Working with data.table package
• Schedule-12
• Working with ggplot2 (graphics) package
• Schedule-13
• Introduction to Machine Learning
• Schedule-14
• Mini-Project 1 (Data Wrangling)
• Schedule-15
• Mini-Project 2 ( Graphics using R)
• Schedule-16
• Mini-Project-13 (Linear Regression using R) – Machine Learning case study
• Schedule-17
• Creating an R package (Optional)