R Programming for Beginners

Number of Hours : 30 Hours

R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithm, linear regression, time series, statistical inference to name a few. Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results.

Prerequisites:

Basic Programming Skills

Courses Objectives:

After the course, you will be able to:

    • Write basic functions in R
    • Subset Data in R
    • Perform Descriptive Analysis in R
    • Perform Multivariate Analysis in R

    • Use of R as a calculator.

    • Data Types
         Matrices, Factors, Vectors and Lists
         Missing Values and data frames

    • Selecting, Deleting, Sorting of Data

    • Reading and writing data

    • Sub-setting of data
    • Replace Missing Values(NA)
    • Applying Loops in R
    • Functions – apply(), lapply(), sapply(), tapply() in R

    • Descriptive Statistics

    • Basic Charts in R

    • T-test & Chisquare, ANOVA Hypothesis Testing

    • Correlation

    • Linear Regression

    • Logistic Regression

    • Perceptual Mapping

    • Factor Analysis

    • Decision Tree