ru
Feedback
Data Analytics

Data Analytics

Открыть в Telegram

Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Больше

📈 Аналитический обзор Telegram-канала Data Analytics

Канал Data Analytics (@sqlspecialist) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 109 844 подписчиков, занимая 1 114 место в категории Технологии и приложения и 2 318 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 109 844 подписчиков.

Согласно последним данным от 30 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 578, а за последние 24 часа — 60, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.45%. В первые 24 часа после публикации контент обычно набирает 1.72% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 695 просмотров. В течение первых суток публикация набирает 1 894 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 8.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как row, sql, analytic, analyst, visualization.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Благодаря высокой частоте обновлений (последние данные получены 01 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

109 844
Подписчики
+6024 часа
+2117 дней
+57830 день
Архив постов
Important Topics which you should know to learn SQL 👇👇 https://t.me/free4unow_backup/455

Tricky question, lets see how many of you are able to answer it correctly 😁

If 2 runners finish in equal 3rd position, then what's the next runner's place based on dense_rank function in SQL?
Anonymous voting

In SQL, Group by allows us to group data for use in which functions?
Anonymous voting

Data Analyst Interview Questions [Python, SQL, PowerBI] 👇👇 https://t.me/datasciencefun/800

Good to see 500+ subscribers interested in learning SQL and Python. These are very useful skills if you are aiming for data analytics domain 😄👍

Placing a dimension on which shelf separates the marks according to the members in the dimension, and assigns a unique color to each member?
Anonymous voting

Here are the different ways to create views in Tableau 👇👇 Drag fields from the Data pane and drop them onto the cards and shelves that are part of every Tableau worksheet. Double-click one or more fields in the Data pane. Select one or more fields in the Data pane and then choose a chart type from Show Me, which identifies the chart types that are appropriate for the fields you selected. Drop a field on the Drop field here grid, to start creating a view from a tabular perspective.

Which of the following field typically hold categorical data such as product types and dates?
Anonymous voting

Which function is used to calculate difference between two dates in tableau?
Anonymous voting

Which of the following chart type can be used to show magnitude (relative size or value of two or more discrete items)
Anonymous voting

Important topics which you should know to learn Tableau 👇👇 https://t.me/free4unow_backup/453

Customer ID is a?
Anonymous voting

Which of the following is a measure?
Anonymous voting

Which of the following is discrete dimension?
Anonymous voting

In tableau, year is a?
Anonymous voting

Expert Data Modeling with Power BI Soheil Bakhshi, 2021

Q. Explain the data preprocessing steps in data analysis. Ans. Data preprocessing transforms the data into a format that is more easily and effectively processed in data mining, machine learning and other data science tasks. 1. Data profiling. 2. Data cleansing. 3. Data reduction. 4. Data transformation. 5. Data enrichment. 6. Data validation. Q. What Are the Three Stages of Building a Model in Machine Learning? Ans. The three stages of building a machine learning model are: Model Building: Choosing a suitable algorithm for the model and train it according to the requirement Model Testing: Checking the accuracy of the model through the test data Applying the Model: Making the required changes after testing and use the final model for real-time projects Q. What are the subsets of SQL? Ans. The following are the four significant subsets of the SQL: Data definition language (DDL): It defines the data structure that consists of commands like CREATE, ALTER, DROP, etc. Data manipulation language (DML): It is used to manipulate existing data in the database. The commands in this category are SELECT, UPDATE, INSERT, etc. Data control language (DCL): It controls access to the data stored in the database. The commands in this category include GRANT and REVOKE. Transaction Control Language (TCL): It is used to deal with the transaction operations in the database. The commands in this category are COMMIT, ROLLBACK, SET TRANSACTION, SAVEPOINT, etc. Q. What is a Parameter in Tableau? Give an Example. Ans. A parameter is a dynamic value that a customer could select, and you can use it to replace constant values in calculations, filters, and reference lines. For example, when creating a filter to show the top 10 products based on total profit instead of the fixed value, you can update the filter to show the top 10, 20, or 30 products using a parameter.

When should you use histogram?
Anonymous voting

Which chart type is perfect for showing Project timeline?
Anonymous voting