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Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data
Show more📈 Analytical overview of Telegram channel Coding Interview Resources
Channel Coding Interview Resources (@crackingthecodinginterview) in the English language segment is an active participant. Currently, the community unites 52 157 subscribers, ranking 2 572 in the Technologies & Applications category and 7 210 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 52 157 subscribers.
According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 148 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 2.25%. Within the first 24 hours after publication, content typically collects 0.86% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 174 views. Within the first day, a publication typically gains 448 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 array, stack, algorithm, programming, sort.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
Thanks to the high frequency of updates (latest data received on 13 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 Technologies & Applications category.
52 157
Subscribers
-224 hours
+127 days
+14830 days
Posts Archive
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Various types of test used in statistics for data science
T-test: used to test whether the means of two groups are significantly different from each other.
ANOVA: used to test whether the means of three or more groups are significantly different from each other.
Chi-squared test: used to test whether two categorical variables are independent or associated with each other.
Pearson correlation test: used to test whether there is a significant linear relationship between two continuous variables.
Wilcoxon signed-rank test: used to test whether the median of two related samples is significantly different from each other.
Mann-Whitney U test: used to test whether the median of two independent samples is significantly different from each other.
Kruskal-Wallis test: used to test whether the medians of three or more independent samples are significantly different from each other.
Friedman test: used to test whether the medians of three or more related samples are significantly different from each other.
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The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QA“?
⠀
QA stands for Quality Assurance. Software QA Engineers (or Software Testers) make sure websites and mobile apps work as expected. They search for errors and bugs and report them to the development team. All tech companies require QA Engineers to prevent issues and guarantee high-standard outcomes.
Manual QA is a straightforward task!
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🔔Unmute Notification & Share Channel For More Content ✅
Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!🚀
The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QA“?
⠀
QA stands for Quality Assurance. Software QA Engineers (or Software Testers) make sure websites and mobile apps work as expected. They search for errors and bugs and report them to the development team. All tech companies require QA Engineers to prevent issues and guarantee high-standard outcomes.
Manual QA is a straightforward task!
👌 No experience required
👌 High salaries & demand
👌 No need to learn coding or programming!
👌 We’ll teach you all you need to know to get, do and keep the job of Software Engineer.
🔗 Follow the link to get:
✅ 2 hours of career insights
✅ Practice a real-life test case of a QA engineer
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Repost from Data Science & Machine Learning
machine-learning-interview-questions.pdf2.11 KB
