DataCamp Competitions are designed to closely mirror data analyst challenges to help learners apply their skills to real-world problems and datasets.
DataCamp Competitions cover a wide range of topics, including the following:
- Fraud detection
- Customer segmentation
- Customer insight
- Network analytics
- Choice modeling
- Business process analytics
- Marketing campaigns
- Drivers of churn
- Supply chain analytics
- Business analytics
These competitions have two attractive features: 1) the competition is more balanced, as all users have the same hardware allowances, and 2) the winning models tend to be far simpler than the winning models in other competitions, as they must be made to run within the compute constraints imposed by the platform.
Joining a Competition
To check the list of active competitions, select Competitions in the left-hand side menu. Click on a specific competition to learn more about it.
The overview page provides you with all the important information about the competition. There are five elements that are always included: Background, Challenge, Prizes, Judging criteria, Timelines, and Rules.
The Background and Challenge give you an introduction to the competition’s objective and challenge.
If prizes are relevant, the Prizes section provides a breakdown of what prizes will be awarded to the winners. Prizes vary from challenge to challenge and may be swag, monetary, or other perks.
The Judging criteria section describes how to format your submission file and how your submissions will be evaluated. Each competition employs a metric that serves as the objective measure for how competitors are ranked on the leaderboard.
The Timeline has detailed information on the competition timeline. Most DataCamp Competitions include, at a minimum, two deadlines: 1) a submission deadline, after which no new submissions will be accepted, and 2) a voting deadline, after which no new votes be counted towards final evaluation. It is very, very important to keep these deadlines in mind.
Once you have chosen a competition, read and accepted the Rules, and made yourself aware of the competition deadlines, you are ready to start your analysis!
Creating a Workspace
A workspace is a collection of source, data, and configuration files that represents all of the work you are doing for certain data analysis. It corresponds to what would typically be a GitHub repository or an RStudio project.
To start your competition workspace choose a technology by clicking on the corresponding button—”Start with Python” or “Start with R”. You’ll see a newly created workspace that will include a competition overview and data to work with to write and run your analysis. All required packages are included in the template.
The opportunities with Workspace are endless; whether you want to work on data visualizations, statistical analyses, or simple reports: DataCamp Workspace has got you covered. Workspace automatically saves all your changes to the cloud, so you can easily continue at a later point.
Making a Submission
After you finish your analysis, it’s time to submit it in order to receive upvotes from former learners and a score from the judging panel. Participants can share their publications for upvotes right after submissions.
Submitting from your Workspace Notebook
To submit your analysis, publish it by clicking “Share” at the top right corner of the screen. You can then change the name of your notebook; once ready, click “Publish” to submit your entry to the Competition.
Note: You can edit your submission until the competition's deadline, though we recommend finishing early so that your publication has enough time to load.
Once submitted, you’ll see a pop-up confirming your submission.
We encourage you to share your submission with friends and fellow colleagues to get the upvotes necessary to stand out to the judging panel.
Submitting from the Competitions page
Navigate to the workspace with the analysis you want to submit and click “Edit my Workspace”. Once you’re in your workspace, click “Share” and then “Publish” to submit your publication to the Competition.
Frequently Asked Questions
How do I sign up?
Anyone with a DataCamp account and Workspace access can participate in our competitions.
How do I compete in DataCamp competitions?
You will create a data analysis based on the dataset provided. You will submit your ready-to-share publication for a review by fellow DataCamp learners and the judging panel in accordance with the evaluation metrics created for the competition.
How long does a competition run?
You can check a competition's duration on the competitions page itself, as different competitions have different lengths.
How do I submit my publication?
DataCamp Competitions accept submissions created in the Workspace, DataCamp’s in-browser IDE. To start your competition workspace choose a technology by clicking on the corresponding button—”Start with Python” or “Start with R”. You’ll see a newly created workspace that will include a competition overview and data to work with to write and run your analysis. All required packages are included in the template.
To submit your analysis, publish it by clicking “Share” at the top right corner of the screen. You can then change the name of your notebook, and once ready, click “Publish” to submit your entry to the competition.
You can still edit your submission after publishing, though your latest submission only counts towards the competition if it fully publishes before the deadline.
How do I reset a competition?
You can reset your competition to its default state by manually deleting the workspace and starting the competition from scratch.
What makes a winning solution?
The winners will be selected based on the judging criteria provided in the description of each competition.
How will I get my prize? Are there any conditions?
Are teams allowed?
Not yet, but we are exploring this opportunity for future competitions.