The DataCamp Community’s mission is to provide high-quality tutorials, blog posts, and case studies on the most relevant topics to the data science industry and the technologies that are available today and popular tomorrow. In short, the information that every data science enthusiast needs to succeed at his or her (future) job.
The DataCamp Community commits to contributing to the data science community by offering a place for data science experts and enthusiasts to share valuable insights with the broader data science community and learn all about the foundational topics as well as the latest developments in data science. All of the articles that get published on the DataCamp Community are featured in the DataCamp Newsletter, which reaches about 1.6 Million data science enthusiasts.
DataCamp Community readers are well-educated, but that doesn’t mean that they aren't eager to learn: their goal is to become technically knowledgeable people with a critical mindset. They’re looking for tutorials and blog posts that add immediate value to their learning journey and their professional career in data science.
What We’re Looking For
Community articles cover all operating systems, technologies, and peripherals. Articles should provide meaningful insights, explain theories, concepts, and practices, or provide interesting and detailed case studies.
All articles submitted to the DataCamp Community via Jupyter Notebooks or in R Markdown and written in American English. They are technically correct and complete, user-centered, and don't use stuffy or academic language.
We highly encourage you to submit only blogs or tutorials that comply with these guidelines. Blogs and tutorials that tackle particular problems or contain specific examples are preferred over general ones.
Our tutorials section covers how-to guides or case studies. Tutorials give a clear overview and insights into the specific theories, concepts, and practices at hand. They also go through a case study in a step-by-step way. Code chunks are bite-sized so that readers can easily follow. The datasets used within tutorials must comply with any licensing requirements.
The DataCamp Community blog is a space for (definitive) guides and thoughts on specific data science topics. If any code is added to the blog, this is done to support arguments or insights.
Send the full version of your article over to email@example.com. Every article will be read and considered. If your article fits our criteria, we will provide you with one round of feedback on your post. Then, the final decision will be made whether the post is accepted for publication. The DataCamp Community team aims to review your submission within two weeks of receiving your tutorial or blog post.
You can find all published articles on www.datacamp.com/community. The following is a good selection of the sort of stories we're talking about: