### Completed R Career Tracks at DataCamp

R Programmer ( old version )

- Introduction to R
- Intermediate R
- Intermediate R: Practice
- Introduction to Importing Data in R
- Intermediate Importing Data in R
- Cleaning Data in R
- Importing & Cleaning Data in R: Case Studies
- String Manipulation with stringr in R
- Writing Functions in R
- Object-Oriented Programming with S3 and R6 in R

Data Scientist with R

- Introduction to R
- Intermediate R
- Introduction to the Tidyverse
- Introduction to Importing Data in R
- Intermediate Importing Data in R
- Cleaning Data in R
- Importing & Cleaning Data in R: Case Studies
- Writing Functions in R
- Data Manipulation in R with dplyr
- Joining Data in R with dplyr
- Introduction to SQL
- Data Visualization with ggplot2 (Part 1 & 2)
- Working with Dates and Times in R
- Introduction to Data in R
- Exploratory Data Analysis in R
- Exploratory Data Analysis in R: Case Study
- Correlation and Regression in R
- Cluster Analysis in R
- Supervised Learning in R: Classification
- Unsupervised Learning in R
- Joining Data in SQL
- Reporting with R Markdown

Data Analyst with R

- Introduction to R
- Intermediate R
- Introduction to the Tidyverse
- Introduction to Importing Data in R
- Intermediate Importing Data in R
- Cleaning Data in R
- Importing & Cleaning Data in R: Case Studies
- Data Manipulation in R with dplyr
- Joining Data in R with dplyr
- Data Visualization with ggplot2 (Part 1)
- Sentiment Analysis in R: The Tidy Way
- Introduction to Data in R
- Exploratory Data Analysis in R
- Exploratory Data Analysis in R: Case Study
- Correlation and Regression in R
- Reporting with R Markdown

Quantitative Analyst with R

- Introduction to R for Finance
- Intermediate R for Finance
- Manipulating Time Series Data with xts and zoo in R
- Importing and Managing Financial Data in R
- Time Series Analysis in R
- ARIMA Modeling with R
- Case Studies: Manipulating Time Series Data in R
- Forecasting in R
- Visualizing Time Series Data in R
- Introduction to Portfolio Analysis in R
- Intermediate Portfolio Analysis in R
- Bond Valuation and Analysis in R
- Credit Risk Modeling in R
- Quantitative Risk Management in R
- Financial Trading in R

### Completed R Skill Tracks at DataCamp

R Programming

- Introduction to R
- Intermediate R
- Writing Efficient R Code
- Parallel Programming in R

Importing and Cleaning Data with R

- Introduction to Importing Data in R
- Intermediate Importing Data in R
- Cleaning Data in R
- Importing and Cleaning Data in R: Case Studies

Data Manipulation with R

- Working with Data in Tidyverse
- Exploratory Data Analysis in R: Case Study
- Data Manipulation with data.table in R
- Joining Data with data.table in R

Statistics Fundamentals with R

- Introduction to Data in R
- Exploratory Data Analysis in R
- Correlation and Regression in R
- Multiple and Logistic Regression in R

Data Visualization with R

- Data Visualization with ggplot2 (Part 1)
- Data Visualization with ggplot2 (Part 2)
- Visualization Best Practices in R
- Data Visualization in R
- Data Visualization with lattice in R

Time Series with R

- Manipulating Time Series Data with xts and zoo in R
- Time Series Analysis in R
- ARIMA Modeling with R
- Forecasting in R
- Visualizing Time Series Data in R
- Case Studies: Manipulating Time Series Data in R

Applied Finance with R

- Bond Valuation and Analysis in R
- Introduction to Portfolio Analysis in R
- Intermediate Portfolio Analysis in R
- Financial Trading in R

Finance Basics with R

- Introduction to R for Finance
- Intermediate R for Finance
- Manipulating Time Series Data with xts and zoo in R
- Importing and Managing Financial Data in R

Machine Learning Fundamentals in R

- Supervised Learning in R: Classification
- Supervised Learning in R: Regression
- Unsupervised Learning in R
- Machine Learning Toolbox

Text Mining with R

- Introduction to Text Analysis in R
- String Manipulation with stringr in R
- Text Mining: Bag of Words
- Sentiment Analysis in R

Tidyverse Fundamentals with R

- Introduction to the Tidyverse
- Working with Data in the Tidyverse
- Modeling with Data in the Tidyverse
- Communicating with Data in the Tidyverse
- Categorical Data in the Tidyverse

Unsupervised Machine Learning with R

- Unsupervised Learning in R
- Cluster Analysis in R
- Factor Analysis in R
- Advanced Dimensional Reduction in R

Marketing Analytics with R

- Machine Learning for Marketing Analytics in R
- Choice Modeling for Marketing in R
- Building Response Models in R
- Introduction to Text Analysis in R

Statistical Inference with R

- Foundations of Inference in R
- Inference for Categorical Data in R
- Inference for Numerical Data in R
- Inference for Linear Regression in R

Probability and Distributions with R

- Foundations of Probability in R
- Multivariate Probability Distributions in R
- Probability Puzzles in R
- Mixture Models in R