Data Scientists
Nerds
Data Scientists Subreddit Analytics
Data Scientists is a Nerds topic covering 26 Reddit communities with 30,468,911 combined members. Use this page to compare top Data Scientists subreddits, track daily and weekly growth, and find related communities for research, marketing, or audience discovery.
Data Scientists communities currently show ↗ +0.17% average daily growth and ↗ +0.58% average weekly growth across tracked subreddits. Net tracked movement is +4,607 members today and +15,917 members this week .
Popular Data Scientists Reddit communities include r/dataisbeautiful, r/MachineLearning, r/datascience, r/statistics, r/dataengineering.
Topic Overview
Daily Growth Chart (30 days)
Top Data Scientists Subreddits (20)
r/dataisbeautiful
DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.
r/MachineLearning
Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
r/datascience
A space for data science professionals to engage in discussions and debates on the subject of data science.
r/statistics
/r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. _This community will not grant access requests during the protest. Please do not message asking to be added to the subreddit._
r/dataengineering
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
r/analytics
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
r/BusinessIntelligence
Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. This is not a generic 'business' subreddit and off topic posts will be marked as spam. Related Subreddits: /r/ETL /r/Database /r/DataScience /r/Datasets /r/DataIsBeautiful /r/Cognos /r/Microstrategy /r/PowerBI /r/Tableau /r/Qlik /r/Visualization
r/dataanalysis
This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam. - No 3rd party URL shorteners
r/datasets
A place to share, find, and discuss Datasets.
r/quant
A subreddit for quantitative analysts
r/dataisugly
Where data goes to die.
r/data
## A subreddit to discuss and share data and datasets. If you have questions on anything data related or have interesting datasets, tutorials or findings please do post and make yourself at home
r/dataannotation
A subreddit to talk about the DataAnnotation website!
r/dataanalytics
Discuss news, tools, algorithms, datasets, courses and more.
r/IndiaStatistics
Stats, data, and insights about the world's largest democracy. Indian version of r/dataisbeautiful.
r/databricks
A place to discuss all things related to Databricks
r/CNFansSheets
A community where you can post and discuss various CNFans spreadsheets. Not affiliated with CNFans.
r/snowflake
The place for Snowflake Data Cloud architects and engineers. Master SQL performance, Snowpark (Python), and Cortex AI through real-world discussion. What we cover? 🧐 Warehouse Optimization & Cost Management, Data Engineering with Streamlit & dbt, Security & Governance (RBAC, Horizon), Ecosystem Integrations
r/sportsanalytics
We're a subreddit for quantitative nerds who love sports. Our goal is to showcase and discuss interesting links regarding the use of data and analytics in sports. Think of us like /r/sabermetrics, but not specific to baseball. We have a preference for articles that show their work, especially if they include links to their source data.
r/dataisbeautiful
DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.
r/MachineLearning
Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets
r/datascience
A space for data science professionals to engage in discussions and debates on the subject of data science.
r/statistics
/r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. _This community will not grant access requests during the protest. Please do not message asking to be added to the subreddit._
r/dataengineering
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
r/analytics
Dedicated to web analytics, data and business analytics. We're here to discuss analysis of data, learning of skills and implementation of web analytics.
r/BusinessIntelligence
Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. This is not a generic 'business' subreddit and off topic posts will be marked as spam. Related Subreddits: /r/ETL /r/Database /r/DataScience /r/Datasets /r/DataIsBeautiful /r/Cognos /r/Microstrategy /r/PowerBI /r/Tableau /r/Qlik /r/Visualization
r/dataanalysis
This is a place to discuss and post about data analysis. Rules: - Career-focused questions belong in r/DataAnalysisCareers - Comments should remain civil and courteous. - All reddit-wide rules apply here. - Do not post personal information. - No facebook or social media links. - Do not spam. - No 3rd party URL shorteners
r/data
## A subreddit to discuss and share data and datasets. If you have questions on anything data related or have interesting datasets, tutorials or findings please do post and make yourself at home
r/IndiaStatistics
Stats, data, and insights about the world's largest democracy. Indian version of r/dataisbeautiful.
r/CNFansSheets
A community where you can post and discuss various CNFans spreadsheets. Not affiliated with CNFans.
r/snowflake
The place for Snowflake Data Cloud architects and engineers. Master SQL performance, Snowpark (Python), and Cortex AI through real-world discussion. What we cover? 🧐 Warehouse Optimization & Cost Management, Data Engineering with Streamlit & dbt, Security & Governance (RBAC, Horizon), Ecosystem Integrations
r/sportsanalytics
We're a subreddit for quantitative nerds who love sports. Our goal is to showcase and discuss interesting links regarding the use of data and analytics in sports. Think of us like /r/sabermetrics, but not specific to baseball. We have a preference for articles that show their work, especially if they include links to their source data.