r/datascience is a subreddit with 2.8M members. The most common kinds of discussions are advice requests and solution requests, and the community frequently discusses data science, frustration, learning, struggling, and data, and they frequently recommend/review bi tool, framework, and etl tool.
A space for data science professionals to engage in discussions and debates on the subject of data science.
Popular Themes in r/datascience
#1
Advice Requests
: "Hamel Husain on decision models for LLM evals, and why classic data science skills still matter"
10 posts
#2
Solution Requests
: "What's the process to request cloud architecture in your company?"
2 posts
#3
Opportunities
: "Mass applying to one company hurts you: what I saw from referrals"
1 post
#4
Self-Promotion
: "Thought I'd analyse the past 6 annual salary sharing threads. Not self promotion. Just sharing something I hope others will find useful."
1 post
#5
News
: "How data journalists caught a fake pollster at Wedgewood Polls"
1 post
Popular Topics in r/datascience
#1
Data Science
: "4 Types of Case Studies in 2026 Data Science Interviews"
38 posts
#2
Frustration
29 posts
#3
Learning
28 posts
#4
Struggling
19 posts
#5
Data
: "4 Types of Case Studies in 2026 Data Science Interviews"
16 posts
#6
Job
12 posts
#7
Tired
8 posts
#8
Ai
5 posts
#9
Hate
3 posts
#10
Models
3 posts
Products Discussed in r/datascience
Bi Tool
25 reviews
#1
Microsoft
3.8★ from 5 reviews
#2
FineReport
5.0★ from 2 reviews
#3
Tableau
4.0★ from 2 reviews
Framework
22 reviews
#1
Streamlit
4.5★ from 6 reviews
#2
Shiny
4.3★ from 4 reviews
#3
Dash
4.0★ from 4 reviews
Etl Tool
16 reviews
#1
Fivetran
4.0★ from 2 reviews
#2
Informatica
4.0★ from 2 reviews
#3
dbt
4.0★ from 2 reviews
Flair Used in r/datascience
#1
Discussion
: "4 Types of Case Studies in 2026 Data Science Interviews"
21 posts
#2
ML
: "Screwed up a model in production, feeling super anxious"
7 posts
#3
Analysis
: "Causal Inference Real World Case Studies"
5 posts
#4
Tools
: "Polars 2.0 released with the streaming engine, out-of-core processing and first-class SQL support"
3 posts
#5
Career | US
: "Is anyone else seeing more relaxed coding rounds lately?"
3 posts
#6
Statistics
: "The problem is noise, not N. Why increasing the sample size isn't all that"
3 posts
#7
Projects
: "Recommendation Systems resources"
3 posts
#8
Coding
: "New free course on Synthetic Data on LinkedIn Learning"
1 post
#9
Education
: "When is it okay to remove outliers?"
1 post
Member Growth in r/datascience
Yearly
+77k members(2.8%)
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About
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This page gives a focused view of r/datascience, including current member size, discussion patterns, product reviews, and related communities to explore.
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Last updated: November 5, 2026