channel title

StatQuest with Josh StarmerYouTube Channel Stats

@statquest
US 🇺🇸

Channel Overview

StatQuest with Josh Starmer, a top YouTuber from United States of America, boasts 1.6M subscribers, 88.0M views and ranks #39484 globally and #8375 in United States of America. Dominating the Education category. The channel recently hit 890.5K views in last 28 days.

  • Channel:StatQuest with Josh Starmer
  • Subscribers:1.6M
  • Views:88.0M
  • Videos:293
  • Category:Education
  • Country:United States of America
  • 28 days views:890.5K
  • Country (US) Rank:#8375
  • Global Rank:#39484

StatQuest with Josh Starmer Channel Stats

Updated: 31 Jan
Subscribers
1.6M
Views (+Day)
88.0M
(
+30.5K
)
Avg Subscribers
5.4K
Videos (+Day)
293
Average Views
300.4K
Category
Education
Channel Age
14 years ago
Level
5
Advanced Analytics
Channel Daily Performance
Channel Videos

StatQuest with Josh Starmer Channel Rank

Subscribers
1,580,000
#39,484
🇺🇸#8,375
Views
88,024,786
#155,075
🇺🇸#27,430
Subs (28 Days)
+20,000
#25,476
🇺🇸#4,933
Views (28 Days)
+890,509
#181,971
🇺🇸#30,763
StatQuest with Josh Starmer Latest Videos
p-values: What they are and how to interpret them
11:21
p-values: What they are and how to interpret them
StatQuest with Josh Starmer 🇺🇸
1.4M
+676
32.1K
23 Mar 2020
Support Vector Machines Part 1 (of 3): Main Ideas!!!
20:32
Support Vector Machines Part 1 (of 3): Main Ideas!!!
StatQuest with Josh Starmer 🇺🇸
1.7M
+730
38.7K
30 Sept 2019
ROC and AUC, Clearly Explained!
16:17
ROC and AUC, Clearly Explained!
StatQuest with Josh Starmer 🇺🇸
1.9M
+775
43.7K
11 Jul 2019
Gradient Descent, Step-by-Step
23:54
Gradient Descent, Step-by-Step
StatQuest with Josh Starmer 🇺🇸
1.7M
+679
41.9K
5 Feb 2019
Machine Learning Fundamentals: Bias and Variance
06:36
Machine Learning Fundamentals: Bias and Variance
StatQuest with Josh Starmer 🇺🇸
1.6M
+607
44.4K
17 Sept 2018
StatQuest with Josh Starmer Latest Trending Videos
ROC and AUC, Clearly Explained!
ROC and AUC, Clearly Explained!
1.9M
+775
6 years ago
Maximum Likelihood, clearly explained!!!
Maximum Likelihood, clearly explained!!!
1.7M
+547
8 years ago
p-values: What they are and how to interpret them
p-values: What they are and how to interpret them
1.4M
+676
5 years ago
Machine Learning Fundamentals: Bias and Variance
Machine Learning Fundamentals: Bias and Variance
1.6M
+607
7 years ago
Support Vector Machines Part 1 (of 3): Main Ideas!!!
Support Vector Machines Part 1 (of 3): Main Ideas!!!
1.7M
+730
6 years ago