R Datacamp Courses

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)
• 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