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Data Analyst Interview Resources

Data Analyst Interview Resources

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Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! πŸ“Š For ads & suggestions: @love_data

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πŸ“ˆ Analytical overview of Telegram channel Data Analyst Interview Resources

Channel Data Analyst Interview Resources (@dataanalystinterview) in the English language segment is an active participant. Currently, the community unites 52 630 subscribers, ranking 3 264 in the Education category and 6 673 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 52 630 subscribers.

According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 5 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.85%. Within the first 24 hours after publication, content typically collects 0.81% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 973 views. Within the first day, a publication typically gains 427 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as sql, row, |--, dataset, visualization.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œJoin our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! πŸ“Š For ads & suggestions: @love_data”

Thanks to the high frequency of updates (latest data received on 05 September, 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.

52 630
Subscribers
-724 hours
+317 days
+530 days
Posts Archive
22. Principal Component Analysis

21. K Means Clustering

20. Support Vector Machines

19. Decision Trees and Random Forests

18. K Nearest Neighbors

17. Logistic Regression

16. Cross Validation and Bias-Variance Trade-Off

15. Linear Regression

14. Introduction to Machine Learning

13. Data Capstone Project

12. Python for Data Visualization - Geographical Plotting

🎁 To be continued ...

11. Python for Data Visualization - Plotly and Cufflinks

10. Python for Data Visualization - Pandas Built-in Data Visualization

9. Python for Data Visualization - Seaborn

8. Python for Data Visualization - Matplotlib

7. Python for Data Analysis - Pandas Exercises

6. Python for Data Analysis - Pandas

5. Python for Data Analysis - NumPy

4. Python Crash Course