DataBeli

DataBeli

@databeli Very Active +32.0%

DataBeli is a Data Science YouTube channel with 22K subscribers. As of November 2026, it has published 128 videos with 1.7M total views (~15.5K per video), and a 2.15% engagement rate — top 47% of Data Science educators. It covers Azure, Databricks, Git & GitHub, PostgreSQL and uploads on a weekly basis.

I am Narender Kumar, a Sr Data Architect with 12+ years in IT, a Databricks Certified Solutions Architect Champion and a Databricks MVP. I teach Data Engineering and AI the way it is actually built and deployed at enterprise scale. FULL COURSES PySpark and Databricks beginner to expert, Azure Data Factory, Python, Data Modeling. END-TO-END PROJECTS Finance, retail and healthcare builds with ADF, Kafka, PostgreSQL, Logic Apps, Key Vault, GitHub and CI/CD. PLATFORM DEEP DIVES Unity Catalog, De

Channel Statistics

22K Subscribers
128 Videos
1.7M Total Views
15.5K Avg Views
284 Avg Likes
49 Avg Comments
2.15% Engagement Rate
Weekly Upload Frequency

Top 47% engagement among 1254 channels in Data Science

Connect with DataBeli

Website LinkedIn

Technologies Taught

AzureDatabricksGit & GitHubPostgreSQLPySparkPythonSQL & Databases
Best Azure VideosBest Databricks VideosBest Git & GitHub Videos Sponsor Azure creatorsSponsor Databricks creatorsSponsor Git & GitHub creators

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Content Style

4 Shorts
4 Long-form
14m 47s Avg Duration

30-Day Growth

+32.0% Subscribers
+60.2% Views

Views Trajectory · last 84 days

546.1K → 1.6M total views

+45.2% views (30d) — slower than its prior 30d (+56.0%), momentum decelerating

Featured Video

Data Science Beginner FriendlyAdvancedProject BasedLong Form
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DataBeli (@databeli) is a data science YouTube channel with 22K subscribers. With 128 videos and 1.7M total views, the channel averages 15.5K views per video. DataBeli has an engagement rate of 2.15%, placing it in the top 47% of data science educators on the platform. The channel uploads on a weekly basis, making it a very active creator in the developer education space. DataBeli covers technologies including Azure, Databricks, Git & GitHub, PostgreSQL, PySpark, Python, SQL & Databases.