Towards Data Science is creating an online publication
56

patrons

Hi Everybody 
and thanks for making it to our Patreon page!


In October 2016, we created a data science publication using  Medium. Our goal was simply to gather good posts and distribute them to a broader audience. Just a few months later, we were pleased to see that we had a very fast growing audience and many contributors.

Today,  Towards Data Science provides a platform for thousands of people to exchange ideas and to expand our understanding of data science. Our audience is mixed, consisting of readers entirely new to the subject and expert professionals who want to share their inventions and discoveries.

Now that our readership has grown and we are attracting contributions from fantastic writers every day, we feel it’s time to ‘up our game’. We want to provide robust support to allow  our writers to develop their talents via editorial guidance. Also, we want to continue to present well-written, informative articles that our audience is excited to read.

What do people say about us:
"Data science is in the midst of a Renaissance. The Renaissance is driven by the community, and Towards Data Science is one of the pre-eminent community sources for information." Rob Thomas - Leading Analytics software at IBM.

"New ways of learning from data are transforming nearly all aspects of society. Venues for sharing lessons learned and the latest advances are critical to being sure these new approaches make the greatest possible impact. Toward Data Science is a model example of how we can come together as a community to accelerate positive change." Leonard D'Avolio -  Assistant Professor at Harvard Medical School and co-founder of Cyft.

I’ve always enjoyed reading machine learning related articles written by others. This way I’ve learnt a lot and become a better data scientist. So, it’s a logical step for me to give something back what I’ve learnt to the ML community. Towards data science provides an excellent platform for me as they have a large audience so that they can benefit from my learnings as I did from others.Dat Tran - Data Scientist at Pivotal Labs.

“It is great to be included in Towards Data Science on Medium. We really enjoy sharing our innovations and learnings with the wider Data Science community and believe doing so fosters valuable conversation, learning and debate within this sector. For our part, we’re constantly looking at ways to iterate and improve our practices with the end goal of making travel search as easy as possible for millions of travelers.” Lizzie Eardley, Data Scientist at Skyscanner.

" Towards Data Science is a family of like-minded people who want to spread their passion for all things data. In a world that is increasingly more automated by machines while inequality prevents the poor from education, Towards Data Science, like many other publications, provides all people with a chance to democratize, share, and learn frontier knowledge from each other." Nahua Kang - Artificial Intelligence/Machine Learning, Stockholm School of Economics.

"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.

"Learning about and practicing data science is a lot more fun when there is a community to draw new ideas from, and to share ideas with.Towards Data Science is a great platform to stay informed about what is happening within the data science community, and to share my work!" Gabriel Tseng - Researcher McGill University.

"Towards Data Science helps establish collaboration among data science enthusiasts by presenting quality knowledge to the right audience. The published articles encourage discussion and sharing of new and unexplored areas of data science."  Sayan Sinha - second year student at IIT Kharagpur.

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. 

"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.

"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.

***

Some prominent people in data-related fields that have already published with us:  Rama RamakrishnanEugenio CulurcielloDJ PatilArthur Gretton and Rob Thomas. Managers, engineers, statisticians, machine learning researchers and data scientists from Google, Facebook, Pinterest, Data Camps, and Shopify have also written for Towards Data Science.

Find here the links to our trending posts and recent newsletters. If you have any questions, please reach us here: [email protected].
Rewards
Become a Patron
$1 or more per month
Join our community of patrons. Thank you!
Monthly Concept Competition
$2 or more per month
Participate in our competition. Every month we will feature the best submissions on our social media. The goal is to explain one key data science concept on a single page.
  • Get featured on our social media
  • Plus all previous rewards
Name in the Credits
$3 or more per month
As a patron, you'll be acknowledged for making our work possible.
  • We'll put a list of everyone who funds us in our Weekly Selection at least one time
  • Plus all previous rewards
Top Picks and Tips for Data Scientists
$4 or more per month
Every month, we will release a post to help you become a better data scientist. For instance we will publish about: 
  • How to learn data science efficiently?
  • How to become more productive?
  • How to get published in TDS?


  • Plus all previous rewards
Improve Your Writing Skills
$5 or more per month
Improve your writing skills and become more successful with Towards Data Science.
  • Share your upcoming post on our Discord private channel
  • Plus all previous rewards
Includes Discord rewards
Behind the Scenes
$10 or more per month
Get a patron-only perspective of our upcoming development. 
  • Sneak peeks and contributions to our up-coming development
  • Plus all previous rewards
Includes Discord rewards
Project Feedback and Mentoring
$65 or more per month
Do you have a project and want to receive our feedback on it?
  • We will provide you feedback on your current project
  • You will be able to network with other data entrepreneurs
Includes Discord rewards
Corporate Support
$125 or more per month
Your company will be acknowledged for making our work possible. 
  • Publish one post with your company name*
  • Your post will be featured on our home page
  • We will mention you once within our social media


*Your post will need to be approved by our editors.

Goals
49% complete
This will enable us to cover our basic needs and invest more time in our publication.
1 of 3
Hi Everybody 
and thanks for making it to our Patreon page!


In October 2016, we created a data science publication using  Medium. Our goal was simply to gather good posts and distribute them to a broader audience. Just a few months later, we were pleased to see that we had a very fast growing audience and many contributors.

Today,  Towards Data Science provides a platform for thousands of people to exchange ideas and to expand our understanding of data science. Our audience is mixed, consisting of readers entirely new to the subject and expert professionals who want to share their inventions and discoveries.

Now that our readership has grown and we are attracting contributions from fantastic writers every day, we feel it’s time to ‘up our game’. We want to provide robust support to allow  our writers to develop their talents via editorial guidance. Also, we want to continue to present well-written, informative articles that our audience is excited to read.

What do people say about us:
"Data science is in the midst of a Renaissance. The Renaissance is driven by the community, and Towards Data Science is one of the pre-eminent community sources for information." Rob Thomas - Leading Analytics software at IBM.

"New ways of learning from data are transforming nearly all aspects of society. Venues for sharing lessons learned and the latest advances are critical to being sure these new approaches make the greatest possible impact. Toward Data Science is a model example of how we can come together as a community to accelerate positive change." Leonard D'Avolio -  Assistant Professor at Harvard Medical School and co-founder of Cyft.

I’ve always enjoyed reading machine learning related articles written by others. This way I’ve learnt a lot and become a better data scientist. So, it’s a logical step for me to give something back what I’ve learnt to the ML community. Towards data science provides an excellent platform for me as they have a large audience so that they can benefit from my learnings as I did from others.Dat Tran - Data Scientist at Pivotal Labs.

“It is great to be included in Towards Data Science on Medium. We really enjoy sharing our innovations and learnings with the wider Data Science community and believe doing so fosters valuable conversation, learning and debate within this sector. For our part, we’re constantly looking at ways to iterate and improve our practices with the end goal of making travel search as easy as possible for millions of travelers.” Lizzie Eardley, Data Scientist at Skyscanner.

" Towards Data Science is a family of like-minded people who want to spread their passion for all things data. In a world that is increasingly more automated by machines while inequality prevents the poor from education, Towards Data Science, like many other publications, provides all people with a chance to democratize, share, and learn frontier knowledge from each other." Nahua Kang - Artificial Intelligence/Machine Learning, Stockholm School of Economics.

"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.

"Learning about and practicing data science is a lot more fun when there is a community to draw new ideas from, and to share ideas with.Towards Data Science is a great platform to stay informed about what is happening within the data science community, and to share my work!" Gabriel Tseng - Researcher McGill University.

"Towards Data Science helps establish collaboration among data science enthusiasts by presenting quality knowledge to the right audience. The published articles encourage discussion and sharing of new and unexplored areas of data science."  Sayan Sinha - second year student at IIT Kharagpur.

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. 

"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.

"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.

***

Some prominent people in data-related fields that have already published with us:  Rama RamakrishnanEugenio CulurcielloDJ PatilArthur Gretton and Rob Thomas. Managers, engineers, statisticians, machine learning researchers and data scientists from Google, Facebook, Pinterest, Data Camps, and Shopify have also written for Towards Data Science.

Find here the links to our trending posts and recent newsletters. If you have any questions, please reach us here: [email protected].

Recent posts by Towards Data Science

Rewards
Become a Patron
$1 or more per month
Join our community of patrons. Thank you!
Monthly Concept Competition
$2 or more per month
Participate in our competition. Every month we will feature the best submissions on our social media. The goal is to explain one key data science concept on a single page.
  • Get featured on our social media
  • Plus all previous rewards
Name in the Credits
$3 or more per month
As a patron, you'll be acknowledged for making our work possible.
  • We'll put a list of everyone who funds us in our Weekly Selection at least one time
  • Plus all previous rewards
Top Picks and Tips for Data Scientists
$4 or more per month
Every month, we will release a post to help you become a better data scientist. For instance we will publish about: 
  • How to learn data science efficiently?
  • How to become more productive?
  • How to get published in TDS?


  • Plus all previous rewards
Improve Your Writing Skills
$5 or more per month
Improve your writing skills and become more successful with Towards Data Science.
  • Share your upcoming post on our Discord private channel
  • Plus all previous rewards
Includes Discord rewards
Behind the Scenes
$10 or more per month
Get a patron-only perspective of our upcoming development. 
  • Sneak peeks and contributions to our up-coming development
  • Plus all previous rewards
Includes Discord rewards
Project Feedback and Mentoring
$65 or more per month
Do you have a project and want to receive our feedback on it?
  • We will provide you feedback on your current project
  • You will be able to network with other data entrepreneurs
Includes Discord rewards
Corporate Support
$125 or more per month
Your company will be acknowledged for making our work possible. 
  • Publish one post with your company name*
  • Your post will be featured on our home page
  • We will mention you once within our social media


*Your post will need to be approved by our editors.