DataCamp's Free Classroom Model Used in 180 Countries
At DataCamp, our mission is to democratize data science education by making data fluency accessible to millions of people and businesses around the world. We believe the ability to work with data to solve problems faster will be a fundamental driver of growth and innovation over the next several decades—for organizations, entire industries, and economies as a whole. But for this to happen, data skills need to spread across the globe in both developing and developed markets, and future generations need to have the skills necessary to work fluently with the increasing amounts of data available across all industries. Through the DataCamp for the Classroom program, we provide all DataCamp content (a growing library of 300+ courses in R, Python, and SQL, among other technologies) for free when it’s used for the classroom at secondary and tertiary levels. More than 200,000 students from 180 countries have used DataCamp for the Classroom. So we thought it’d be interesting to dive into the data and see how and where the program is used.
The way it works is that teachers and academics set up digital classrooms for their students, so we first looked at how many active digital classrooms there have been each week since the beginning of 2016:
Note that earlier this year, we reached nearly 3,000 unique active digital classrooms. As you can see, there’s a recent dip which can be attributed to seasonality: there’s a summertime dip across the northern hemisphere when school is out. Then, we looked at the total number of academic groups created since 2016 and saw that we recently hit 10,000:
The total number of classrooms gives a sense of impact and reach. Next, we wanted to look into how many students had been involved in the program since its inception.
How many students have been involved?
We see that we nearly hit 70,000 students enrolled each week in January 2019, compared with around 35,000 a year earlier. Once again you can see the seasonality:
As with total number of groups, we wanted to see how many unique students had been enrolled in the program over its history—we recently surpassed 200,000 students worldwide:
Once we had a sense of the total number of students and classrooms impacted, we wanted to see their geographic spread.
We’ve reached 92% of countries in the world
We first looked at the total number of countries reached over time and discovered that, since 2016, DataCamp for the Classroom has been used in 180 countries—92% of the 195 countries in the world.
We then drilled down and investigated the number of students enrolled in the program over time for each continent. North America and Europe have seen the most students enrolled, followed by Asia, but we’ve seen growth in Africa, Central/South America, and Oceania (see that the seasonality in Oceania is flipped with a dip in January coinciding with the summer vacation down there!).
Looking at the total number of students reached across the globe, there has been a high rate of adoption in North America, Europe, Australia, Brazil, and India, and a lower rate in regions such as Africa and South America.
Student involvement in Asia and Central/South America
To get a more nuanced view of how the program has expanded in Asia, we checked out the actual countries that enrolled students live in:
We’ve seen a lot of engagement in India and Malaysia and we’ve recently seen significant growth in Singapore due to our ongoing collaboration with AI Singapore.
In Central and South America, much of the engagement comes from Brazil, Mexico and Colombia:
R and Python are our most popular languages
It’s commonly said that R is a data analysis tool used a lot in academia. As over 200,000 students have taken part in this program, we can see what technologies/languages on DataCamp they’ve been most interested in and compare it with DataCamp users more generally. First, we looked at DataCamp course completions for our top 3 languages (R, Python and SQL) by students enrolled in this program:
We see that R does indeed dominate both Python and SQL. We also looked at how many total hours students have spent on DataCamp with each language:
It’s apparent that DataCamp students are R users, for the most part: they’ve spent 2,585,908 hours learning R vs 1,629,362 for Python and 237,461 for SQL.
We’ve already seen over 200,000 DataCamp for the Classroom students from 180 different countries spend 4.5 million hours on DataCamp and take 40.5 million exercises. If you’re a teacher or a professor, we’d love for you to be involved, particularly if you work and teach in a developing nation. You can sign up for your own class now.