StatQuest with Josh Starmer YouTube channel thumbnail

Subscribers 1.6M

Videos 293

Views 89.3M

Channels Like StatQuest with Josh Starmer

StatQuest with Josh Starmer covers statistics, machine learning, data science, and AI through easy-to-understand tutorials that break down major methodologies into small, simple steps. The channel features a mix of instructional videos and step-by-step explanations, with recent uploads including PCA, logistic regression, and ROC/AUC concepts. It publishes a high-volume library of content since 2011, averaging about 1.8M views per video, with a substantial catalog of 293 videos and 1.6M subscribers.

Similar Channels

We found 50 YouTube channels similar to StatQuest with Josh Starmer

#1

Visually Explained

88% relevance

Subscribers 82K

Videos 31

Views 4.4M

Appearances 11

SERP 100%

Similarity 80%

principal component analysis PCA explained logistic regression

Both target learners with visual, explanatory content on PCA and regression concepts that align with searches like 'PCA explained' and 'logistic regression', reflecting an 88% overall match driven by shared queries (100% search) though style differs (80% content).

#2

DataMListic

83% relevance

Subscribers 65.9K

Videos 586

Views 6.9M

Appearances 14

SERP 92%

Similarity 76%

probability vs likelihood maximum likelihood random forests

Shares a focus on statistical concepts such as probability vs likelihood, maximum likelihood, and random forests, matching a substantial 83% overall alignment with StatQuest through high search overlap (92%) and similar topic coverage (76% content).

#3

Stanford Online

82% relevance

Subscribers 1.1M

Videos 2.9K

Views 77.1M

Appearances 25

SERP 95%

Similarity 73%

logistic regression K-means clustering random forests

Covers core statistical topics—logistic regression, K-means clustering, and random forests—producing an 82% match via near-strong search overlap (95%), with content that aligns reasonably (73%), signaling a similar audience and subject breadth.

IBM Technology YouTube channel thumbnail

#4

IBM Technology view on YouTube ▶

81% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 15

SERP 98%

Similarity 70%

principal component analysis PCA explained logistic regression

Uses emphasis on PCA and logistic regression similar to StatQuest, driving an 81% match fueled by very high search overlap (98%), though content alignment is moderate (70%), indicating shared audience interest with differing presentation depth.

#5

numiqo

80% relevance

Subscribers 284K

Videos 221

Views 19.5M

Appearances 14

SERP 81%

Similarity 80%

principal component analysis PCA explained logistic regression

Targets PCA, PCA explained, and logistic regression much like StatQuest, giving an 80% match with solid search overlap (81%) and near-identical content emphasis (80%), suggesting a closely aligned topics niche.

#6

ritvikmath

75% relevance

Subscribers 206K

Videos 518

Views 15.7M

Appearances 16

SERP 71%

Similarity 78%

principal component analysis PCA explained maximum likelihood

Frequently covers PCA, PCA explained, and maximum likelihood, yielding a 75% match driven by reasonable search overlap (71%) and strong content alignment (78%), indicating overlap in statistical topics with a distinct teaching style.

Content Landscape

The top two competitors are Visually Explained (88% match) with 82K subscribers and DataMListic (83% match) with 65.9K subscribers. Both share overlapping queries with StatQuest such as principal component analysis, PCA explained, logistic regression, and probability vs likelihood. Stanford Online (82% match) with 1.1M subscribers also competes on logistic regression, K-means clustering, and random forests. IBM Technology (81% match) with 1.6M subscribers, overlaps on PCA and logistic regression. These competitors vary in size, with StatQuest at 1.6M subscribers being larger than Visually Explained and DataMListic, but Stanford Online and IBM Technology are closer in scale to StatQuest. Shared queries include PCA explained, logistic regression, and random forests across several competing channels.

Video Highlights

Didn't Make the Cut

44 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	64%	Mahesh Huddar	75%	159K	49%	16
#8	63%	MIT OpenCourseWare ▶	72%	6.2M	49%	16
#9	61%	Steve Brunton	74%	510K	42%	9
#10	60%	Gate Smashers	72%	2.6M	41%	13
#11	59%	Krish Naik	71%	1.4M	42%	15
#12	59%	Very Normal	83%	130K	22%	3
#13	59%	Udacity	69%	646K	43%	7
#14	58%	Super Data Science	79%	24K	26%	4
#15	58%	Kilian Weinberger	78%	26.4K	28%	5
#16	58%	Stats with Brian	79%	18.2K	25%	3
#17	57%	codebasics	66%	1.5M	45%	13
#18	57%	3Blue1Brown ▶	70%	8.2M	38%	5
#19	57%	Normalized Nerd	76%	138K	28%	5
#20	57%	3-Minute Data Science	77%	27.5K	26%	2
#21	57%	Intuitive Machine Learning	75%	22.7K	30%	4
#22	56%	AI For Beginners	79%	27.1K	21%	5
#23	56%	ByteQuest	70%	20.2K	34%	8
#24	55%	TileStats	78%	34.7K	22%	5
#25	55%	Simplilearn ▶	70%	6.1M	33%	6
#26	54%	TheDataPost	76%	1.8K	20%	4
#27	54%	AssemblyAI	67%	180K	34%	6
#28	53%	freeCodeCamp.org ▶	73%	11.5M	22%	4
#29	53%	Infinite Codes	76%	128K	18%	5
#30	53%	StataCorp LLC	77%	94.5K	16%	2
#31	52%	Kimberly Fessel	70%	23.5K	25%	3
#32	51%	NStatum	76%	1.7K	14%	1
#33	51%	IntuitiveML	71%	7.7K	22%	4
#34	51%	Anders Gorm Pedersen	74%	3.8K	17%	2
#35	49%	Prof. Ryan Ahmed	70%	266K	17%	3
#36	49%	CrashCourse ▶	69%	16.9M	17%	5
#37	48%	Siddhardhan	72%	180K	12%	2
#38	48%	NeuralNine ▶	69%	461K	16%	5
#39	48%	iMooX at	70%	16K	14%	1
#40	48%	Unfold Data Science	70%	111K	13%	4
#41	47%	deeplizard	70%	168K	13%	2
#42	47%	Upskill	69%	2.1K	14%	1
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#44	47%	Mısra Turp	70%	49.4K	13%	3
#45	47%	Cyrill Stachniss	70%	63.1K	12%	1
#46	46%	Scarlett's Log	68%	1.4K	14%	3
#47	46%	Lex Fridman	69%	5.0M	12%	1
#48	46%	Data School	69%	261K	12%	1
#49	44%	Computational Thinking	63%	5.2K	16%	3
#50	43%	CodeEmporium	64%	155K	13%	4

Search Queries Used

principal component analysis PCA explained logistic regression probability vs likelihood maximum likelihood K-means clustering random forests ROC AUC explained ridge regression L2 regularization support vector machines SVM concepts bias variance tradeoff machine learning fundamentals statistical learning data visualization basics linear regression intuition overfitting explanation cross validation basics feature scaling importance dimensionality reduction confusion matrix explained precision recall tradeoff bayesian statistics intro confidence intervals explained regularization intuition gradient descent basics neural network fundamentals model evaluation metrics unsupervised learning intro clustering evaluation metrics decision trees explained ensemble learning basics model selection criteria statistical power concepts

Frequently Asked Questions

Which YouTube channels are most similar to StatQuest with Josh Starmer?

StatQuest with Josh Starmer's biggest competitors on YouTube are Visually Explained (82K subscribers, 88% match), DataMListic (65.9K subscribers, 83% match), and Stanford Online (1.1M subscribers, 82% match). They share a focus on educational, data science or statistics topics presented in clear, instructional formats similar to StatQuest.

What type of content does StatQuest with Josh Starmer make?

StatQuest creates explanatory, topic-by-topic videos in statistics, machine learning, and data science (e.g., Principal Component Analysis, Logistic Regression, Maximum Likelihood) with an approximate average of 1.8M views per video. Upload frequency is indicated as multiple videos per week.

How do we determine which channels are similar to StatQuest with Josh Starmer?

We analyze StatQuest with Josh Starmer's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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