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Introduction to Data Science

Basics of R Programming

EDA I - Graphing and Descriptive Statistics

EDA II - Data Wrangling

EDA III - Visualizations

Data Visualizations Using ggplot2

Statistical Analysis in R

Ensemble Modeling

Feature Engineering and Selection

Applications in RShiny

Introduction to Machine Learning

R Markdown

Decision Tree Analysis in R

Cluster Analysis

Regression Analysis

Social Media Analysis in R

Unsupervised Learning Models for Text