en
Feedback
DataSpoof

DataSpoof

Open in Telegram

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

Show more

๐Ÿ“ˆ Analytical overview of Telegram channel DataSpoof

Channel DataSpoof (@dataspoof) in the English language segment is an active participant. Currently, the community unites 16 139 subscribers, ranking 12 546 in the Education category and 26 595 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 16 139 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.

๐Ÿ“ Description and content policy

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

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.

16 139
Subscribers
-224 hours
-327 days
-14330 days
Posts Archive
DataSpoof
16 138
๐‹๐ž๐š๐ซ๐ง ๐ƒ๐š๐ญ๐š ๐’๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž๐ฌ & ๐€๐ฅ๐ ๐จ๐ซ๐ข๐ญ๐ก๐ฆ๐ฌ ๐Ÿ๐จ๐ซ ๐…๐ซ๐ž๐ž ๐Ÿ‘‰ Linked List: https://lnkd.in/dbd3j9pi ๐Ÿ‘‰ Heap: https://lnkd.in/d8yMqiw9 ๐Ÿ‘‰ Hashing: https://lnkd.in/dz6D7F_v ๐Ÿ‘‰ Greedy Algo: https://lnkd.in/dqdixCGi ๐Ÿ‘‰ Graphs: https://lnkd.in/dC_Aqg28 ๐Ÿ‘‰ Analysis of Algorithms: https://lnkd.in/d6XjwbBy ๐Ÿ‘‰ Tree: https://lnkd.in/dgSGnTSD ๐Ÿ‘‰ Stacks: https://lnkd.in/dErHXVgb ๐Ÿ‘‰ Sorting: https://lnkd.in/d_kx9ffG ๐Ÿ‘‰ Recursion: https://lnkd.in/djASWqrW ๐Ÿ‘‰ Randomized Algorithms: https://lnkd.in/dy78NzYT ๐Ÿ‘‰ Priority queue: https://lnkd.in/drzwvMrE ๐Ÿ‘‰ Matrix: https://lnkd.in/dfEy4Yq6 ๐Ÿ‘‰ Geometry: https://lnkd.in/drNM98UN ๐Ÿ‘‰ Game Theory: https://lnkd.in/dRGspjEV ๐Ÿ‘‰ DP: https://lnkd.in/dwcXCeu5 ๐Ÿ‘‰ Design Pattern: https://lnkd.in/dnNbFWNS ๐Ÿ‘‰ CP tips and tricks: https://lnkd.in/dvAt_iYn ๐Ÿ‘‰ Combinatorics: https://lnkd.in/d9K_ZQgM ๐Ÿ‘‰ BST: https://lnkd.in/deqYktzh ๐Ÿ‘‰ BS and D&C: https://lnkd.in/dR7aeSZG ๐Ÿ‘‰ Bits: https://lnkd.in/dCc7jPNA ๐Ÿ‘‰ Backtracking: https://lnkd.in/dvRDPNwZ ๐Ÿ‘‰ Pattern Finding: https://lnkd.in/dzpE-JmK ๐Ÿ‘‰ The Algorithms: https://lnkd.in/ebd-TguJ ๐Ÿ‘‰ Awesome Algorithms: https://lnkd.in/ed3svhTT ๐Ÿ‘‰ DSA-Bootcamp-Java: https://lnkd.in/ekRyNfVT ๐Ÿ‘‰ The Complete FAANG Preperation: https://lnkd.in/e8ewVBSH ๐Ÿ‘‰ LeetCode Patterns: https://lnkd.in/evw2JViC ๐Ÿ‘‰ DSA in JavaScript: https://lnkd.in/exj_7XqH ๐Ÿ‘‰ Algo Deck: https://lnkd.in/eT_avVed ๐Ÿ‘‰ Algorithms and Data Structures: https://lnkd.in/e6y_xt2w ๐Ÿ‘‰ Algorithms: https://lnkd.in/eu9ipD-z

DataSpoof
16 138
Data_Engineering_Interview_Question_and_Answers_1682785467_1.pdf9.55 KB

DataSpoof
16 138
photo content

DataSpoof
16 138
10 Free Harvard University Courses 2023. Courses Direct Link. https://rb.gy/9hrcc
10 Free Harvard University Courses 2023. Courses Direct Link. https://rb.gy/9hrcc

DataSpoof
16 138
๐…๐ซ๐ž๐ฌ๐ก๐ž๐ซ ๐‹๐ž๐ฏ๐ž๐ฅ ๐’๐ฒ๐ฌ๐ญ๐ž๐ฆ ๐ƒ๐ž๐ฌ๐ข๐ ๐ง interview questions ---------------------------------- 1. Design a simple URL shortening service. 2. Design a basic chat application. 3. Design a file storage system. 4. Design a simple social media platform. 5. Design a simple search engine. 6. Design a simple e-commerce website. 7. Design a basic ride-sharing system. 8. Design a basic video streaming service. 9. Design a simple recommendation system. 10. Design a basic food delivery app. 11. Design a parking lot management system. 12. Design a simple music streaming service. 13. Design a basic online ticket booking system. 14. Design a simple note-taking application. 15. Design a weather forecasting system. 16. Design a basic email service. 17. Design a file synchronization system. 18. Design a simple calendar application. 19. Design a basic online quiz platform. 20. Design a user authentication system. Credit- Himanshu

DataSpoof
16 138
AUTOMATIC CERTIFICATE GENERATOR ๐Ÿ”ฅ*(FREE PROJECT)*๐Ÿ”ฅ https://drive.google.com/drive/folders/13wAW1Qq3Y9pUCCmdJ3e1X7Jj5HQYG1LZ

DataSpoof
16 138
FREE certification course from Google to try in 2023 1. ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—–๐—ฟ๐—ฎ๐˜€๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ https://lnkd.in/dbkXEGSY 2. ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป https://lnkd.in/dhFdCNnc 3. ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ https://lnkd.in/d_D6Jjai 4. ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น๐˜€ https://lnkd.in/dN5mrNt9 5. ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—•๐—ฎ๐˜€๐—ฒ๐—น๐—ถ๐—ป๐—ฒ: ๐——๐—ฎ๐˜๐—ฎ, ๐— ๐—Ÿ, ๐—”๐—œ https://lnkd.in/ddyJM5WR

DataSpoof
16 138
photo content

DataSpoof
16 138
Thread from Instagram is launched You can join us on thread https://www.threads.net/@dataspoof

DataSpoof
16 138
Most common questions asked in any Data Science interview Q1: Discuss a challenging problem you faced while working on a data science project and how did you solve it? Q2: Question: Explain a data science project that you are most proud to work on?

DataSpoof
16 138
โœ… 7 Free Courses that will help you learn Data Analysis :- 01> Power BI Series :- https://www.youtube.com/playlist?app=desktop&list=PLUaB-1hjhk8HqnmK0gQhfmIdCbxwoAoys 02> Power BI Beginner to Professional :- https://www.youtube.com/playlist?list=PLoyECfvEFOjZGHV6eB_VOJPQVsCwUE3fO 03> Data Analysis in excel :- https://www.datacamp.com/courses/data-analysis-in-excel 04> SQL For Data Analysis :- https://www.udacity.com/course/sql-for-data-analysis--ud198 05> Introduction to Python :- https://www.udacity.com/course/introduction-to-python--ud1110

DataSpoof
16 138
โœ…Get a remote job using these AI tools: โžก๏ธ Interview questions โ€“ https://interviewgpt.ai โžก๏ธ Interview notes โ€“ http://metaview.ai โžก๏ธ Fix your resume โ€“ http://fixmyresume.xyz โžก๏ธ Resume scan โ€“ http://accio.springworks.in โžก๏ธ Job search โ€“ http://matchthatroleai.com โžก๏ธ Apply automatically โ€“ http://applyish.com

DataSpoof
16 138
Join our Data science training program 3 days left Hurry up https://dataspoof6499.graphy.com/courses/64893d06e4b08d17f46de99a

DataSpoof
16 138
Follow us on our Instagram page instagram.com/dataspoof More than 63k+ data science professionals and students are there. Fro
Follow us on our Instagram page instagram.com/dataspoof More than 63k+ data science professionals and students are there. From Oxford University to IIT Bombay

DataSpoof
16 138
As a financial data scientist, youโ€™re no stranger to the complexities of navigating vast financial datasets. However, Pythonโ€™s versatile libraries have revolutionized this process, making it more streamlined and efficient. Python stands out among other programming languages like R, thanks to its extensive offerings for data analysis, manipulation, visualization, and modeling. https://www.dataspoof.info/post/top-financial-data-analysis/