datacamp_courses.md

Potentially relevant DataCamp courses

I've also included tentative launch dates too if the course is in development from the DataCamp Course Roadmap.

The basics

1. Introduction to R
2. Intermediate R
3. Writing Functions in R - Charlotte Wickham & Hadley Wickham
4. Working with the RStudio IDE (Part 1) - Garrett Grolemund
5. Reporting with R Markdown - Garrett Grolemund
6. Writing Efficient R Code - Colin Gillespie

Current tidyverse courses

1. String Manipulation in R with stringr - Charlotte Wickham
2. Working with Dates and Times in R - Charlotte Wickham
3. Exploratory Data Analysis in R: Case Study - Dave Robinson
4. Joining Data in R with dplyr - Garrett Grolemund

New tidyverse courses

1. Introduction to the Tidyverse - Dave Robinson
2. Working with Data in the Tidyverse - Alison Hill (2018-04-26)
3. Modeling with Data in the Tidyverse - Albert Kim (2018-05-08)
4. Communicating with Data in the Tidyverse - Timo Grossenbacher
5. Case Studies in the Tidyverse - Alice Daish (2018-06-28)
6. Categorical Data in the Tidyverse - Emily Robinson (2018-05-20)
7. Purrrfect Your R Code - Auriel Fournier (2018-07-05)
8. Programming with purrr - Colin Fay (2018-08-23)
9. Managing Multiple Predictive Models - Dima Gorenshteyn (2018-08-15)

Others

1. Introduction to Data - Mine Cetinkaya-Rundel
2. Exploratory Data Analysis - Andrew Bray
3. Data Visualization with ggplot2 (Part 1) - Rick Scavetta
4. Data Manipulation in R with dplyr - Garrett Grolemund
5. Cleaning Data in R - Nick Carchedi
6. Correlation and Regression - Ben Baumer
7. Multiple and Logistic Regression - Ben Baumer

More in development

1. Explaining Regex - Miles McBain (2018-08-31)
2. Visualization Best Practices - Nick Strayer (2018-08-15)
3. Dealing with Missing Data - Nick Tierney (2018-10-05)

Plenty of machine learning courses available too with more in development!