The Best Articles in Data Science

The most useful articles in Data Science from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.

On this page

Top 5 Data Science Articles

At a glance: these are the articles that have been most read, shared, and saved in Data Science by Refind users in 2023.

  1. How Do They Know This?
  2. What is Reverse ETL? The Definitive Guide
  3. The Myth of Objective Data
  4. Same data, different stories: How to manipulate the graphs to support your narrative
  5. Explaining base rate neglect

What is ...?

New to Data Science? These articles make an excellent introduction.

Short Articles

Short on time? Check out these useful short articles in Data Science—all under 10 minutes.

Long Articles

These are some of the most-read long-form articles in Data Science.

Related Topics

Thought Leaders

We monitor hundreds of thought leaders, influencers, and newsletters in Data Science, including:

Andrew Ng profile image

Andrew Ng

Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs

Hilary Mason profile image

Hilary Mason

Co-Founder of @HiddenDoorCo. Formerly Founder of @FastForwardLabs (acquired by @Cloudera). I ♥ data and cheeseburgers. She/her.

Data Science Renee profile image

Data Science Renee

Sr Director of DS at @HelioCampus || Author of SQL for Data Scientists (Wiley) || @DataSciGuide @NewDataSciJobs || @paix120 || Not views of employer || she/her

What is Refind?

Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful. We favor timeless pieces—links with long shelf-lives, articles that are still relevant one month, one year, or even ten years from now. These lists of the best resources on any topic are the result of years of careful curation.

How does Refind curate?

It’s a mix of human and algorithmic curation, following a number of steps:

  1. We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
  2. In addition, our users save links from around the web using our Save buttons and our extensions.
  3. Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
  4. Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
  5. Our algorithm uses these internal signals to refine the selection.
  6. In addition, we have expert curators who manually curate niche topics.

The result: lists of the best and most useful articles on hundreds of topics.

How does Refind detect «timeless» pieces?

We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.

How many sources does Refind monitor?

We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.

Who are the thought leaders in Data Science?

We follow dozens of thought leaders in Data Science, including Andrew Ng, Hilary Mason, Werner Vogels, Nathan Yau, Data Science Renee.

Missing a thought leader? Submit them here

Can I submit a link?

Indirectly, by using Refind and saving links from outside (e.g., via our extensions).

How can I report a problem?

When you’re logged-in, you can flag any link via the «More» (...) menu. You can also report problems via email to

Who uses Refind?

400k+ smart people start their day with Refind. To learn something new. To get inspired. To move forward. Our apps have a 4.9/5 rating.

Is Refind free?

Yes, it’s free!

How can I sign up?

Head over to our homepage and sign up by email or with your Twitter or Google account.