R for Data Analysis, Statistics and Data Science

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Population Vs Sample

Lecture 3: Statistics Introduction

Chapter 2: Basic R Programming Fundamentals

Lecture 1: Installing R on Windows

Lecture 2: Installing RStudio & Look around RStudio Interface

Lecture 3: First R Program & Basic Mathematical Operations

Lecture 4: Data Types & Variables

Lecture 5: Relational & Logical Operators

Chapter 3: Vectors, Matrices, Lists and Dataframes

Lecture 1: Creating Vectors

Lecture 2: Logical Vectors

Lecture 3: Factors

Lecture 4: Creating Matrices & diag Function

Lecture 5: Creating Lists

Lecture 6: What are Data Frames

Lecture 7: Creating Data Frames

Lecture 8: Subseting Data Frame

Lecture 9: Import Data from Text & CSV Files

Lecture 10: Missing Data in Data Frames

Chapter 4: Data Handling using dplyr Package

Lecture 1: dplyr Package

Lecture 2: dplyr select() – Select Columns of Data Frame

Lecture 3: dplyr filter() – Extract Rows from Data Frame

Lecture 4: dplyr arrange – Sort or Reorder rows of Data Frame

Lecture 5: dplyr rename() – Renaming Columns of Data Frame

Lecture 6: dplyr mutate() – Mutate Data Frames

Lecture 7: dplyrgroup_by() – Generate Summary Statistics

Lecture 8: dplyr %% – Pipeline Operator

Chapter 5: Data Visualization in R

Lecture 1: Bar Plots

Lecture 2: Histograms

Lecture 3: Scatter & Line Plots

Lecture 4: Box Plots

Lecture 5: Multiple Plots in a Layout

Chapter 6: Qualitative and Quantitative Data

Lecture 1: Qualitative Data

Lecture 2: Visualizing Qualitative Data

Lecture 3: Quantitative Data

Lecture 4: Visualizing Quantitative Data

Lecture 5: Visualizing Stock Price Quantitative Data

Chapter 7: Descriptive Statistics

Lecture 1: Min, Max, Sum, Prod and Sort functions on Quantitative Data

Lecture 2: Mean or Arithmetic Mean

Lecture 3: Geometric Mean

Lecture 4: Applications of Geometric Mean

Lecture 5: Harmonic Mean

Lecture 6: Median and Mode

Lecture 7: Outliers

Lecture 8: Quartiles and Quantiles

Lecture 9: Variance and Standard Deviation

Lecture 10: Stock Price Data – Variance and Standard Deviation

Lecture 11: Correlation and Covariance

Lecture 12: Stock Price Data – Correlation and Covariance

Chapter 8: Bivariate and Multivariate Data

Lecture 1: Bivariate Qualitative Data

Lecture 2: Bivariate Quantitative Data

Lecture 3: Multivariate Data

Chapter 9: Probability Distributions

Lecture 1: Probability Distribution

Lecture 2: Uniform Distribution

Lecture 3: Normal Distribution

Chapter 10: Inferential Statistics – Hypothesis Testing

Lecture 1: p-value – Statistical Hypothesis

Lecture 2: Degrees of Freedom

Lecture 3: Confidence Interval

Lecture 4: Hypothesis Testing

Lecture 5: Chi-squared test

Chapter 11: More on – R Programming Fundamentals

Lecture 1: Sequences Operator

Lecture 2: Replicate Function

Lecture 3: Conditional Control Statements

Lecture 4: Loops or Iterative Statements

Lecture 5: Functions

Chapter 12: More on – Vectors

Lecture 1: Subsetting Vectors

Lecture 2: Vector Matching Operator & Methods

Lecture 3: Vector Arithmetic & Mathematical Functions

Lecture 4: Vector – Implicit & Explicit Coercion

Chapter 13: More on – Matrix and Lists

Lecture 1: Matrix – Naming & Binding Rows-Columns

Lecture 2: Subsetting Matrix

Lecture 3: Matrix Operations & Functions

Lecture 4: Subsetting List

Lecture 5: List – Naming, Subset Operator & Concatenation

Chapter 14: More on – Data Frames

Lecture 1: Data Frame subset() function

Lecture 2: Data Frame rbind() and cbind()

Lecture 3: Data Frame edit() function

Chapter 15: More on – Data Import and Export

Lecture 1: Import Data from RDS Files

Lecture 2: Import Data from Internet

Lecture 3: Exporting Data to CSV Files