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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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πŸ“ˆ Analytical overview of Telegram channel Data Analytics

Channel Data Analytics (@sqlspecialist) in the English language segment is an active participant. Currently, the community unites 109 733 subscribers, ranking 1 113 in the Technologies & Applications category and 2 324 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 109 733 subscribers.

According to the latest data from 27 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 610 over the last 30 days and by 45 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.51%. Within the first 24 hours after publication, content typically collects 1.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 753 views. Within the first day, a publication typically gains 1 230 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
  • Thematic interests: Content is focused on key topics such as row, sql, analytic, analyst, visualization.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œPerfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data”

Thanks to the high frequency of updates (latest data received on 28 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.

109 733
Subscribers
+4524 hours
+1667 days
+61030 days
Posts Archive
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! πŸŒπŸŽ‰ We bring together Python enthusiasts, developers, and learners
Join us for an exhilarating Python Singula Meetup Online! πŸŒπŸŽ‰  We bring together Python enthusiasts, developers, and learners from around the world! πŸ—“οΈ Date: August 29 ⏰Time: 6:00pm CET πŸ”— To sign up πŸ“Ί The meetup will be broadcasted via YouTube!  Our lineup of esteemed speakers will dive into exciting topics: β–ΆDiscover the reasons behind Python's occasional slowness in specific tasks β–ΆLearn practical strategies to secure a Hadoop cluster within a large ML team β–ΆUnleash the power of spatial data with expert feature engineering πŸ“ŒSubscribe to our Telegram channel, where you can find all the latest announcements for upcoming meetups!

πŸ”Ÿ 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 πŸ‘πŸ‘

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 πŸ˜„

Which of the following function is used to capitalize first letter in SQL?
Anonymous voting

SQL Interview Questions Part-1 Like if you want more Interview Questions on Data analytics, SQL, R, Python & Power BI πŸ˜„πŸ‘
SQL Interview Questions Part-1 Like if you want more Interview Questions on Data analytics, SQL, R, Python & Power BI πŸ˜„πŸ‘

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 πŸ‘‡πŸ‘‡ https://t.me/excel_analyst/2 Power BI DAX Functions πŸ‘‡πŸ‘‡ https://t.me/PowerBI_analyst/2 All about SQL πŸ‘‡πŸ‘‡ https://t.me/sqlanalyst/29 Python for data analysis πŸ‘‡πŸ‘‡ https://t.me/pythonanalyst/26

Data Analysis with Excel πŸ‘‡πŸ‘‡ https://t.me/excel_analyst/2 Power BI DAX Functions πŸ‘‡πŸ‘‡ https://t.me/PowerBI_analyst/2 All about SQL πŸ‘‡πŸ‘‡ https://t.me/sqlanalyst/29 Python for data analysis πŸ‘‡πŸ‘‡ 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 πŸ˜„πŸ‘
SQL Notes PART-4 Data Wrangling functions on string data types πŸ˜„πŸ‘

Which of the following function is used to return length of the string?
Anonymous voting

Which of the following anomalies can be eliminated by normalisation?
Anonymous voting

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?
Anonymous voting

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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