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Multivariate Procedures with R
Online
12 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Kanpur |
The Syllabus
- How to Learn and Follow the Course
- R Software and its Installation
- Help, Demonstration, Examples, Packages and Libraries
- Command line and Data Editor
- Introduction to R Studio
- R as a Calculator
- Calculations with Data Vectors and Builtin Functions
- Matrix Operations
- Matrix Operations
- Univariate Data Central Tendency and Variability
- Bivariate Data Descriptive Statistics
- Missing Data Handling
- Measuring Central Tendency with Missing Data
- Measuring Variation with Missing Data
- Coefficient of Variation and Summary
- Boxplots and Grouped Boxplots
- Bar Diagram, Subdivided and Multiple Bar Diagrams
- Pie Diagram, Histogram and Multiple Histogram
- Scatter Plots, Smooth Scatter Plots and Matrix Plots
- Three Dimensional Plots, Star Plots and Chernoff Faces
- Random Variables: Continuous and Discrete
- Random Variables: Probability Functions
- Probability Functions for Continuous Bivariate and Multivariate Random Variables
- Univariate Normal Distribution: Theoretical Properties
- Univariate Normal Distribution: Application in R Software
- Bivariate Normal and Multivariate Normal Distributions in R
- Chi square, t and F Distribution
- Point and Interval Estimation
- Maximum Likelihood Estimation
- Basics of Tests of Hypothesis
- Test and Confidence Interval for Mean in One Sample with Known Variance in Univariate Data
- Test and Confidence Interval for Mean in One Sample with Unknown Variance in Univariate Data
- Tests for Mean in Two Samples with Univariate Data
- Analysis of Variance and Homogeneity of Variances with Univariate Data
- Tests for Mean Vector with Multivariate Data in One Sample
- Tests for Mean Vector with Multivariate Data in Two Samples
- Scaling of Data :: Centering, Scaling and ZScores
- Multiple Linear Regression Analysis :: Introduction and Basic Concepts
- Multiple Linear Regression Analysis :: Estimation of Parameters
- Model Fitting With R Software
- Test of Hypothesis and Confidence Interval Estimation on Individual Regression Coefficients
- Analysis of Variance and Implementation in R Software
- Goodness of Fit and Testing of Normality
- Logistic Regression Model
- Introduction to Classification
- Bayes Procedure for Classification
- Classification Procedure for Multivariate Normal Distributions
- Classification Procedure and Analysis in R
- Cluster Analysis :: Basic Concepts and Definitions
- Hierarchical Classification
- Hierarchical Classification and Analysis with R
- Hierarchical Classification with Example in R
- Principle Component Analysis :: Concepts and Theoretical Setup
- Principle Component and Its Graphical Analysis in R
- Canonical Variables and Concepts
- Statistical Analysis of Canonical Variables
- Canonical Variables Analysis in R
Instructors
Articles
10 Jul'25, 09:51 AM
3 Apr'25, 06:57 AM
5 Nov'24, 12:00 PM
22 Apr'24, 10:28 AM
26 Mar'24, 07:31 AM
14 Feb'24, 11:49 AM
1 Feb'24, 10:53 AM
31 Jan'24, 09:37 AM
27 Dec'23, 11:21 AM
27 Sep'23, 06:07 PM
10 Jul'25, 09:51 AM
3 Apr'25, 06:57 AM
5 Nov'24, 12:00 PM
22 Apr'24, 10:28 AM
26 Mar'24, 07:31 AM
14 Feb'24, 11:49 AM
1 Feb'24, 10:53 AM
31 Jan'24, 09:37 AM
27 Dec'23, 11:21 AM
27 Sep'23, 06:07 PM