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Lesson

Introduction to R

Study Material
DataFiles

https://training.listendata.com/wp-content/uploads/2025/Data%20Science%20using%20R/Introduction%20to%20R/intro_r%20%28720p%29.mp4

Data Science using R + R Programming

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Introduction to R
Import / Export Data and Data Structures
Intro to Statistics
Data Exploration
Data Manipulation
Horizontal and Vertical Joins
Date, Time Functions
String Functions
Loops
Transpose Data, User Defined Function-I
User Defined Function-II
Data Visualization using ggplot2
R Programming Practice Material
Basics - Statistics
Impute Missing, Hypothesis Testing
Chi-Square, Standardization, PCA- Part I
PCA - Part II and Hierarchical Variable Clustering
Cluster Analysis - Part I
Cluster Analysis - Part II
Cluster Analysis - Part III
Machine Learning Basics
Linear Regression - Part I
Linear Regression - Part II & Logistic Regression - Part I
Logistic Regression - Part II
Logistic Regression - Part III
Decision Tree
Random Forest
K Nearest Neighbor | PCA vs. Variable Clustering
Support Vector Machine (SVM)
Stochastic Gradient Boosting
Comparison of Supervised Learning Algorithms
Live Project
Live Project (R Programming)
Assignment : Churn Modeling
Interview Questions
Time Series - Theory
Time Series - R Code
Banking + PD Modeling
Intro to Text Mining
Basics of Text Mining with R - Part I
Basics of Text Mining with R - Part II
Return to Data Science using R + R Programming

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Course by

Deepanshu

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