R Programming

- Introduction to R
- Intermediate R
- Object-Oriented Programming with S3 and R6 in R
- String Manipulation with stringr in R
- Parallel Programming in R
- Intermediate R: Practice
- Data Manipulation with data.table in R
- Writing Efficient R Code
- Introduction to the Tidyverse

R Importing and Cleaning Data

- Introduction to Importing Data in R
- Cleaning Data in R
- Intermediate Importing Data in R
- Working with Web Data in R

Data Manipulation in R

- Working with Data in the Tidyverse
- Manipulating Time Series Data with xts and zoo in R
- Introduction to Text Analysis in R
- Joining Data with data.table in R
- Categorical Data in the Tidyverse

Data Visualization in R

- Data Visualization with lattice in R
- Data Visualization with ggplot2 (Part 1-2-3)
- Visualization Best Practices in R
- Communicating with Data in the Tidyverse
- Data Visualization in R

Probability and Statistics

- Introduction to Data in R
- Correlation and Regression in R
- Exploratory Data Analysis in R
- Time Series Analysis in R
- Multiple and Logistic Regression in R
- Forecasting in R
- Modeling with Data in the Tidyverse
- Foundations of Probability in R
- Linear Algebra for Data Science in R
- Foundations of Inference in R
- ARIMA Modeling with R
- Statistical Modeling in R (Part 1 & 2)
- Experimental Design in R
- A/B Testing in R
- Inference for Categorical Data in R
- Generalized Linear Models in R
- Network Analysis in R
- Inference for Linear Regression in R
- Factor Analysis in R
- Forecasting Product Demand in R
- Anomaly Detection in R
- Inference for Numerical Data in R
- Choice Modeling for Marketing in R
- Multivariate Probability Distribution in R
- Building Response Models in R
- Predictive Analytics using Networked Data in R
- Mixture Models in R
- Probability Puzzles in R

Machine Learning in R

- Supervised Learning in R : Classification
- Introduction to Machine Learning
- Cluster Analysis in R
- Unsupervised Learning in R
- Machine Learning Toolbox
- Supervised Learning in R : Regression
- Machine Learning with Tree Based Models in R
- Text Mining: Bag of Words
- Sentiment Analysis in R
- Machine Learning for Marketing Analytics in R
- Advanced Dimensionality Reduction in R
- Dimensionality Reduction in R
- Sentiment Analysis in R: Tidy Way
- Fraud Detection in R
- Feature Engineering in R

Applied Finance

- Introduction to R for Finance
- Credit Risk Modeling in R
- Intermediate R for Finance
- Introduction to Portfolio Analysis in R
- Importing and Managing Financial Data in R
- Financial Trading in R
- Bond Valuation and Analysis in R
- Quantitative Risk Management in R
- Financial Analytics in R
- Intermediate Portfolio Analytics
- GARCH Models in R
- Equity Valuation in R
- Life Insurance Products Valuation in R