As Medium is a free platform where anyone can express themselves, we saw in it a good way to create an open data science publication where posts are easy to gather, manage and edit. Besides, Medium policy ensures that all the posts we publish first belong to their authors.

‘You own the rights to the content you create and post on Medium’.

The quality and the dynamic of our publication rely on our capacity to deliver value to our readers and writers.

First, we deliver value to our readers by proposing proofread and organized content wrote by professional and diffused daily in all our social media. We also, give a chance to our readers to write for us on Medium or Instagram.

Second, we deliver value to our writers by:

  • Providing them a broad and relevant audience.
  • Developing a real connection at the human level.
  • Helping them to improve their writing skills with our Patreon page.
  • Enable them to network through our Slack channel or directly through Medium.
  • Acknowledging the quality of their work with the weekly selection and monthly edition.


We believe that our community can help the data science community as a whole. Learning from others gives the willingness to share our knowledge in return.

In less than a year of existence, our publication already counted more than one thousand authors and half a million visits monthly. Our audience is now mixed, consisting of readers entirely new to the subject and expert professionals who want to share their inventions and discoveries.

Here is what some of our writers says:

Towards Data Science is needed for everyone who wants to deepen their knowledge about the tools used in data science at a level that is accessible to the masses. That is why I think the publication is great cause, and we should have authors contribute from all walks of life. Luke Armbruster – Teaching Assistant in Data Science at General Assembly.

My experience with the TDS team has been nothing short of amazing. Their incredible community of writers and readers provides an excellent audience for all things AI—from basic tutorials to advanced research, projects, and paper analysis. The TDS team is fast, responsive, and very experienced in this field. I would highly recommend people pay attention to this publication. In a world increasingly aided by AI, it is crucial to keep abreast of the latest developments, and TDS is the best place to learn about all the exciting technologies being developed. Abhinav Suri – Biomedical Researcher and Teaching Assistant at the University of Pennsylvania.

It is a amazing feeling working with Towards Data Science. This publication has given me lots of knowledge and only due to this I am able to spread my words to the public, which has given me lots of confidence and motivation. Looking forward to writing more articles for Towards Data Science and learning new things from it. Anish Singh Walia – Intern at Selectdine Services.

More so than ever, we need to support and build increasingly innovative ways of sharing and exchanging important concepts and ideas, and TDS is at the forefront of such innovation due to the well-researched and consistent nature of the content circulated by the publication. We should all be confident that the work of TDS is absolutely relevant to the development and growth of a democratized knowledge community. Bodurin Mayaki – Data Analyst and Founder at IBR Digital.

I believe sharing knowledge about data science is crucial because it is a field which grows and develops every day. In order to be the best data scientist you can be you have to keep being updated and constantly learn new methods and algorithms. I find blogging a great way to stay updated, share tips and get to know how other data scientists are tackling their challenges. Shir Meir Lador – Data scientist and organizer of PyData Tel Aviv meetups.

Towards Data Science has been a great place to publish practice-focused articles. This platform is more accessible to a broad audience than traditional journal publications, and helps bring together the data science community in a cost-effective way. Daniel Shapiro – PhD in Machine Learning, University of Ottawa.

Data science is going to be a key skill for job seekers. Towards Data Science is an important publication if you want to learn about the different aspects of Data science as well the various areas in which it can be applied. Arkin Dharawat – Bachelor of Science, University of Illinois at Urbana-Champaign.

Towards Data Science has a fantastic community of writers who strive to make data science accessible to everyone. The posts are very relevant for the novice as well as the expert data scientist. As more people become involved in data science and machine learning, it is important that such exploratory and educational material is created and made freely available. One of the advantages of working with this community is their speed of response and quality of feedback. I hope to continue working with the community in the future. Chirag Mahapatra – Senior Software Engineer/Machine Learning at Trooly.

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