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Data Science Lessons – Become a better data scientist everyday with these tricks, tips, and insights — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
data-science-project.com ↗	70 match 1 shared topics	Data Science Project – Becoming a Data Scientist	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
100storypoints.com ↗	67 match 1 shared topics	100 Story Points – That's all you get	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
danielomuto.com ↗	67 match 1 shared topics	Daniel Omuto – Thoughts and ideas on software and technology	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
data-trekking.com ↗	67 match 1 shared topics	DATA TREKKING – Expert Power BI Insights: Advanced Tips, Tricks, and Real-Life Scenarios	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
erikbeckwith.com ↗	67 match 1 shared topics	Erik Beckwith – Software Engineer with Political Science B.A., M.A., and Data Science Cert.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
stackletter.com ↗	66 match 1 shared topics	The Best Newsletter Directory and Discovery Platform \| StackLetter	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cttricks.com ↗	66 match 1 shared topics	Ct tricks – Your Ultimate Guide to Tips, Tricks, and Tech Trends!	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
replock.com ↗	66 match 1 shared topics	RepLock.com – Replock – Your trusted resource for general guides, tips, and insights	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
helengiles.com ↗	66 match 1 shared topics	Helen Giles – Autistic Data Scientist Extraordinaire!	en	technology-and-computing	robotsllmsaihumans	emailphone	none
data-skies.com ↗	66 match 1 shared topics	Data Skies – Welcome to my tech blog where I write articles on business applications and data science projects on Microsoft.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
brunalos.com ↗	66 match 1 shared topics	Bruna Los \| Data Scientist \| Data Analyst	en	technology-and-computing	robotsllmsaihumans	emailphone	none
factbeest.com ↗	65 match 1 shared topics	Factbeest World - A place to increase your data skills and find insights	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
vizzendata.com ↗	65 match 1 shared topics	Viz Zen Data – Connecting you to your data: balance, art, insights.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
bcds.ch ↗	65 match 1 shared topics	Home - Bulletin of computer and Data Science	Switzerland en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
anikanawar.com ↗	65 match 1 shared topics	Anika Nawar \| Data Scientist	en	technology-and-computing	robotsllmsaihumans	emailphone	none
data4thought.com ↗	65 match 1 shared topics	Data4thought: data science blog	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
databoostpro.com ↗	65 match 1 shared topics	DataBoostPro – Smart Data, Tech & Business Insights	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anh0ang.com ↗	65 match 1 shared topics	An Hoang \| Data Scientist & Software Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.