We welcome new contributions from our growing community.
DataScience+ is looking for R/Python enthusiasts to share some great tutorials with our readers. If you like writing, teaching people how to use R/Python programming for data science and especially for research, we want to talk with you.
What we look for in submissions
At DataScience+, our goal is to provide high quality tutorials in R/Python that are both unique and compelling.
- Your post should be unique: although it’s great to see another post on a common analysis, we’re really interested in seeing detailed tutorials for trickier subjects, analyses that are poorly documented elsewhere online and that are often misunderstood by users.
- Your instructions should be straightforward and technically accurate.
- Your content should include detailed explanations of each step taken ensure readers have an accurate understanding of how to implement the analysis using their own data.
- Your R script should follow the DataScience+’s styling, we do ask that you read our previous publications.
Why write for DataScience+
DataScience+ is a great resource to promote what you’re doing. Along with tutorial we will publish your biography which includes a description about you, and a link to your Website, LinkedIn, Twitter, Facebook Google Scholar, and Research Gate profile; see an example of the profile page. Currently, all our R tutorials are published in R-Bloggers.com, to ensure your tutorial will be as widely read as possible. Regular contributors are welcome to generate revenues by advertising their products (i.e., books or online courses) or by placing their ad (i.e. Google Adsense) along to their posts.
How to apply
If you think that we should collaborate, send an e-mail with information about yourself. We will reply to you and start the conversation about joining us.
By submitting to DataScience+ you acknowledge that you accept our terms, and any form of editing that might occur on behalf of the DataScience+ editorial team.