Master in Data Visualization and Analysis with R in 2023

Course Curriculum

Chapter 1: Introduction & Overview

Lecture 1: Meet Your Instructor

Lecture 2: Prerequiste to take the course.

Lecture 3: Download and install R

Lecture 4: Why should we take the course?

Lecture 5: Course Curriculum Overview

Chapter 2: Introduction to R programming and Data Structures

Lecture 1: Data types and variables in R

Lecture 2: Vectors

Lecture 3: Vector [ CODE ]

Lecture 4: Application of R Vector [Study Note]

Lecture 5: Matrix and Array

Lecture 6: Matrix and Array [ CODE ]

Lecture 7: Matrix and Array [ Study Note ]

Lecture 8: Applications of R Matrices [ Study Note ]

Lecture 9: Factor

Lecture 10: Factor [ Study Note ]

Lecture 11: Factor [ CODE ]

Lecture 12: Data Frames

Lecture 13: Data Frames [ CODE ]

Lecture 14: List

Lecture 15: List [ CODE ]

Lecture 16: List [ Study Note ]

Chapter 3: Data Handling

Lecture 1: Introduction to Operators and Arithmetic Operators

Lecture 2: [ CODE ] Introduction to Operators and Arithmetic Operators

Lecture 3: [ Study Note ] Introduction to Operators and Arithmetic Operators

Lecture 4: Relational, logical and Miscellaneous Operator

Lecture 5: [ CODE ] Relational, logical and Miscellaneous Operator

Lecture 6: [ STUDY NOTE ] Relational, logical and Miscellaneous Operator

Lecture 7: Decision Making Conditional Statements in R

Lecture 8: [ CODE ]Decision Making Statements in R

Lecture 9: [ STUDY NOTE ] Decision Making Statements in R

Lecture 10: Loops in R

Lecture 11: [CODE] Loops in R

Lecture 12: [ STUDY NOTE ] Loops in R

Lecture 13: Functions in R

Lecture 14: [ CODE ] Functions in R

Lecture 15: [ STUDY NOTE ] Functions in R

Chapter 4: File Access

Lecture 1: CVS files

Lecture 2: Excel Files

Lecture 3: XML files

Lecture 4: [ CODE ] XML files

Lecture 5: [ STUDY NOTE ] XML files

Lecture 6: Web Data

Lecture 7: [ CODE ] Web Data

Lecture 8: [ STUDY NOTE ] Web Data

Chapter 5: Data Visualization

Lecture 1: Pie charts

Lecture 2: [ Code ] Pie Charts

Lecture 3: Bar charts using barplot function

Lecture 4: [ CODE ] Bar charts using barplot function

Lecture 5: Bar charts using ggplot function

Lecture 6: Boxplots

Lecture 7: [ CODE ] Boxplots

Lecture 8: Histograms

Lecture 9: [ CODE ] Histograms

Lecture 10: Line Graphs

Lecture 11: [ CODE ] Line Graphs

Lecture 12: Scatter plots

Lecture 13: [ CODE ] Scatter Plots

Chapter 6: Statistics for Data Science

Lecture 1: Mean, Median & Mode

Lecture 2: [ CODE ] Mean, Median & Mode

Lecture 3: Linear Regression

Lecture 4: [ CODE ] Linear Regression

Lecture 5: Multiple Regression

Lecture 6: [ CODE ] Multiple Regression

Lecture 7: Normal Distribution

Lecture 8: [ CODE ] Normal Distribution

Lecture 9: Binomial Distribution

Lecture 10: [ CODE ] Binomial Distribution

Lecture 11: Hypothesis Testing

Lecture 12: [ CODE ] Hypothesis Testing