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DataSpoof

DataSpoof

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Learn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data

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πŸ“ˆ Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 134 subscribers, ranking 12 546 in the Education category and 26 595 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 16 134 subscribers.

According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -143 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 7.89%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as api, llm, pipeline, +9183182, engineer.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Data Science https://dataspoof4081.graphy.com/membership Artificial Intelligence Machine Learning Data Science Deep learning Computer vision NLP Big data”

Thanks to the high frequency of updates (latest data received on 22 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

16 134
Subscribers
-224 hours
-327 days
-14330 days
Posts Archive
DataSpoof
16 134
Data engineering guide

DataSpoof
16 134
Azure Data Engineering Guide πŸ‘¨β€πŸ’».pdf5.21 MB

DataSpoof
16 134
Roadmap to learn data analyst skills.pdf9.03 KB

DataSpoof
16 134
photo content

DataSpoof
16 134
Inferential stats practice sheet.pdf3.61 KB

DataSpoof
16 134
How does UPi works

DataSpoof
16 134
UPI workflow.pdf2.08 KB

DataSpoof
16 134
photo content

DataSpoof
16 134
Data analysis using excel

DataSpoof
16 134
Excel.pdf1.35 MB

DataSpoof
16 134
devops-1.pdf1.91 MB

DataSpoof
16 134
Learn devops for data science in a simple way

DataSpoof
16 134
DSA Roadmap .pdf9.53 KB

DataSpoof
16 134
SparkNotes.pdf2.30 KB

DataSpoof
16 134
Notes on Apach Spark for big data engineer interviews

DataSpoof
16 134
817 machine learning projects.pdf1.20 KB

DataSpoof
16 134
An high level overview for becoming a machine learning engineer
An high level overview for becoming a machine learning engineer

DataSpoof
16 134
Practical MLops.pdf1.69 MB

DataSpoof
16 134
Mogodb for data science

DataSpoof
16 134
Mongo.pdf3.16 KB