Data Science: SQL и Аналитика данных

📈 Analytical overview of Telegram channel Data Science: SQL и Аналитика данных

Channel Data Science: SQL и Аналитика данных (@pizdatascience) in the Russian language segment is an active participant. Currently, the community unites 35 036 subscribers, ranking 3 682 in the Technologies & Applications category and 18 098 in the Russia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 35 036 subscribers.

According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -661 over the last 30 days and by -254 over the last 24 hours, overall reach remains high.

• Verification status: Not verified
• Engagement rate (ER): The average audience engagement rate is 17.88%. Within the first 24 hours after publication, content typically collects 12.47% reactions from the total number of subscribers.
• Post reach: On average, each post receives 6 264 views. Within the first day, a publication typically gains 4 368 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 sql, индекс, sqlite, строка, index.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“№ 6205468675 На простом языке: про работу с данными, современные технологии, AI, машинное обучение и, немного, SQL. Сотрудничество: @niktwix Менеджер: @Spiral_Yuri”

Thanks to the high frequency of updates (latest data received on 02 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 Technologies & Applications category.