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Data Analytics

Data Analytics

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

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📈 Аналітичний огляд Telegram-каналу Data Analytics

Канал Data Analytics (@sqlspecialist) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 109 733 підписників, посідаючи 1 113 місце в категорії Технології та додатки та 2 324 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 109 733 підписників.

За останніми даними від 27 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 610, а за останні 24 години на 45, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 2.51%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.12% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 2 753 переглядів. Протягом першої доби публікація в середньому набирає 1 230 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 7.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як row, sql, analytic, analyst, visualization.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Завдяки високій частоті оновлень (останні дані отримано 28 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

109 733
Підписники
+4524 години
+1667 днів
+61030 день
Архів дописів
1. What is concurrency control in DBMS? This is a process of managing simultaneous operations in a database so that database integrity is not compromised. The following are the two approaches involved in concurrency control: Optimistic approach – Involves versioning Pessimistic approach – Involves locking 2. What is a checkpoint in DBMS and when does it occur? A checkpoint is a mechanism where all the previous logs are removed from the system and are permanently stored on the storage disk. So, basically, checkpoints are those points from where the transaction log record can be used to recover all the committed data up to the point of crash. 3. What are groups in Tableau? A group is a combination of dimension members that make higher level categories. For example, if you are working with a view that shows average test scores by major, you may want to group certain majors together to create major categories. 4. How are nested IF statements used in Excel? The function IF() can be nested when we have multiple conditions to meet. The FALSE value in the first IF function is replaced by another IF function to make a further test. 5. What is a Recursive Stored Procedure? A stored procedure that calls itself until a boundary condition is reached, is called a recursive stored procedure. This recursive function helps the programmers to deploy the same set of code several times as and when required.

Join us for an exhilarating Python Singula Meetup Online! 🌐🎉 We bring together Python enthusiasts, developers, and learners
Join us for an exhilarating Python Singula Meetup Online! 🌐🎉  We bring together Python enthusiasts, developers, and learners from around the world! 🗓️ Date: August 29 ⏰Time: 6:00pm CET 🔗 To sign up 📺 The meetup will be broadcasted via YouTube!  Our lineup of esteemed speakers will dive into exciting topics: ▶Discover the reasons behind Python's occasional slowness in specific tasks ▶Learn practical strategies to secure a Hadoop cluster within a large ML team ▶Unleash the power of spatial data with expert feature engineering 📌Subscribe to our Telegram channel, where you can find all the latest announcements for upcoming meetups!

🔟 Project Ideas for a data analyst Customer Segmentation: Analyze customer data to segment them based on their behaviors, preferences, or demographics, helping businesses tailor their marketing strategies. Churn Prediction: Build a model to predict customer churn, identifying factors that contribute to churn and proposing strategies to retain customers. Sales Forecasting: Use historical sales data to create a predictive model that forecasts future sales, aiding inventory management and resource planning. Market Basket Analysis: Analyze transaction data to identify associations between products often purchased together, assisting retailers in optimizing product placement and cross-selling. Sentiment Analysis: Analyze social media or customer reviews to gauge public sentiment about a product or service, providing valuable insights for brand reputation management. Healthcare Analytics: Examine medical records to identify trends, patterns, or correlations in patient data, aiding in disease prediction, treatment optimization, and resource allocation. Financial Fraud Detection: Develop algorithms to detect anomalous transactions and patterns in financial data, helping prevent fraud and secure transactions. A/B Testing Analysis: Evaluate the results of A/B tests to determine the effectiveness of different strategies or changes on websites, apps, or marketing campaigns. Energy Consumption Analysis: Analyze energy usage data to identify patterns and inefficiencies, suggesting strategies for optimizing energy consumption in buildings or industries. Real Estate Market Analysis: Study housing market data to identify trends in property prices, rental rates, and demand, assisting buyers, sellers, and investors in making informed decisions. Remember to choose a project that aligns with your interests and the domain you're passionate about. Data Analyst Roadmap https://t.me/sqlspecialist/379 ENJOY LEARNING 👍👍

Tricky question but good to see brilliant audience in this channel :)

Well done guys, 900+ answered it correctly Last option was the trap STRINGLENGTH() function doesn't exist in SQL 😄

Which of the following function is used to capitalize first letter in SQL?
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SQL Interview Questions Part-1 Like if you want more Interview Questions on Data analytics, SQL, R, Python & Power BI 😄👍
SQL Interview Questions Part-1 Like if you want more Interview Questions on Data analytics, SQL, R, Python & Power BI 😄👍

Do you also need data analysis projects and more free courses to be shared in this channel?
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Data Analysis with Excel 👇👇 https://t.me/excel_analyst/2 Power BI DAX Functions 👇👇 https://t.me/PowerBI_analyst/2 All about SQL 👇👇 https://t.me/sqlanalyst/29 Python for data analysis 👇👇 https://t.me/pythonanalyst/26

Data Analysis with Excel 👇👇 https://t.me/excel_analyst/2 Power BI DAX Functions 👇👇 https://t.me/PowerBI_analyst/2 All about SQL 👇👇 https://t.me/sqlanalyst/29 Python for data analysis 👇👇 https://t.me/pythonanalyst/26

Do you need more notes like this?
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SQL Notes Part-5 (DATE data type Functions)
SQL Notes Part-5 (DATE data type Functions)

SQL Notes PART-4 Data Wrangling functions on string data types 😄👍
SQL Notes PART-4 Data Wrangling functions on string data types 😄👍

Which of the following function is used to return length of the string?
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Which of the following anomalies can be eliminated by normalisation?
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SQL Notes Part-3 (Cascading actions and Normalisation concepts)
SQL Notes Part-3 (Cascading actions and Normalisation concepts)

Which of the following is DML command in SQL?
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Which of the following is a SQL constraint?
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Which of the following is not a window function in SQL?
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