R Programming

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R Programming
₨20,000.00

Availability: Available

Media3 stands as a proactive, growth-oriented organization aiming at professional excellence with a pool of talented and dedicated work force. Our key
VERIFICATION

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It would take one working day to verify the uploaded prescription against the order placed and only after the successful verification the medicines will be dispatched.

LIMIT OF ORDER

Maximum allowed quantity would be 90 days for against any prescription and users are requested to reorder after the said period.

SHIPPING METHOD

We ship using regular air mail and express air mail of Indian post Time taken by regular post (Air mail): 18 TO 22 days working days (USD 9) Express mail (EMS): 10 TO 12 working days (USD 18)

Description

Details

Media3 stands as a proactive, growth-oriented organization aiming at professional excellence with a pool of talented and dedicated work force. Our key
Reviews
Overview
Course Overview Schedule  
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)

 

All the schedules will be for two days each 1 hour of class on first day followed by 2 days of lab on the next day.Schedule 17 would take 3 days. Each Mini Project will take three days time (Depends on Student though) Pre-Requsite: Having knowledge on Statistics can be helpful.

 

 

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