en
Feedback
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Open in Telegram

Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

Show more

📈 Analytical overview of Telegram channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Channel Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) in the English language segment is an active participant. Currently, the community unites 39 698 subscribers, ranking 4 591 in the Education category and 9 708 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 698 subscribers.

According to the latest data from 29 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 36 over the last 30 days and by 17 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.87%. Within the first 24 hours after publication, content typically collects 0.73% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 744 views. Within the first day, a publication typically gains 290 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 analytic, dataset, visualization, sql, learning.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

Thanks to the high frequency of updates (latest data received on 30 August, 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 Education category.

Buy Ad
39 698
Subscribers
+1724 hours
-137 days
+3630 days
Posts Archive
+6
Practical Guide to Scikit-Learn for Data Science.pdf9.22 KB

+1
Fake news Detection Machine Learning Project with 92%Accuracy it contain compressed file in which "jupyter notebook file and dataset"✅

Cracking the SQL Interview: Your Key to Database Success 📊💼

ADVANCED SQL - Unlock Expert Level 💥Level up your SQL game with this Advanced SQL guide. 📊 💥Cover SQL in just 10 days with structured content & practice questions.

Hi All, Here is a Python Notebook for last minute revision of Exploratory data analysis (EDA) in Python. The notebook consists of all basic function and operations used in Exploratory data analysis such as : 1- Deleting rows and columns from a dataframe 2- Dealing with duplicate values 3- Removing outliers from dataframe 4- Outliers detection using IQR (Inter Quartile Range) 5- Outliers detection using Z score 6- Value Counts 7- Univariate Analysis 8- Subplots, Countplots, Scatterplots, Lineplots, Boxplots, Joint Distribution, Barplots, Pairplots, Parallel co-ordinates, HeatMaps 9- “How to choose the right chart"

Python for Data Analysts - Quick Summary (1).pdf0.64 KB

+1
Machine Learning with LightGBM and Python (2023).pdf3.87 MB