# Join 1 Million Others on DataCamp (50% off until May 23)

DataCamp is celebrating 1 millions learners on its platform and is offering 50% off for unlimited access until May 23. Learn R and Python for data science interactively at your own pace.

**Join 1 Million Others on DataCamp (50% off until May 23)**

This week, DataCamp is celebrating 1 millions learners on its platform and is offering 50% off for unlimited access to the full curriculum. Learn R and Python for data science interactively at your own pace with over 75 courses and 17 tracks. Join the other data science learners who have completed over 40 million exercises on DataCamp.

**Get 50% off for full DataCamp access**

DataCamp’s instructors are all experts and thought-leaders in data science such as Matt Dowle (data.table), Bryan Van de Ven (Bokeh), Hadley Wickham (R-Studio), Dhavide Aruliah (Continuum Analytics), Max Kuhn (caret), Andreas Muller (scikit-learn), Garrett Grolemund (R-Studio) and more.

Here are some of the tracks and courses available. Career tracks are more in-depth and cover a broader spectrum, skill tracks focus on a specific skill that make up a data scientist:

- Data Analyst with Python

Learn how to use data visualizations and manipulation techniques to uncover insights and help organizations make better decisions. - Data Scientist with R

Learn how to combine statistical and machine learning techniques with R programming to analyze and interpret complex data. - Python Developer

Learn how to use your programming skills to wrangle data and build tools for data analysis. - Quantitative Analyst with R

Learn how to ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

Skills tracks:

- Data Visualization in R
- Importing and Cleaning Data

Learn how to parse data in any format. Whether it's flat files, statistical software, databases, or web data, you'll learn to handle it all. - Applied Finance

Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis. - Data Manipulation with Python

Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.

Individual courses:

- Machine Learning Toolbox (by Zachary Deane-Mayer, DataRobot & caret)
- pandas Foundations (Dhavide Aruliah, Continuum Analytics)
- Writing Functions in R (Hadley Wickham, RStudio)
- Case Study: Machine Learning with the Experts, School Budgets (Peter Bull, DrivenData)

And much more - the offer ends May 23rd so don’t wait!

**About DataCamp**:

DataCamp is an online learning platform that uses high-quality video and interactive in-browser coding challenges to teach you data science using R and Python. All our courses can be taken at your own pace. To date, over 1 million data science enthusiasts have already taken one or more courses at DataCamp.