Stephen | Data

Stephen | Data is an English-language data education channel focused on data engineering and architecture, with projects, tutorials, and challenges across SQL, Excel, Spark, Python, and Power BI. Stephen | Data has a substantial back catalogue and a clear technical focus, making it best suited to learners building practical analytics and data engineering skills. Viewers should treat tool-specific guidance as version-dependent and verify implementation details against current documentation.

WatchlistEducation

Viewer engagementStrong engagement

Based on 20 recent videos

Assessed 24 May 2026

Audience scale19K followers

Videos455 videos

Active since05 June 2017

Latest from the source

DAY 13 | CTEs (Part 1) | 30 Day SQL Challenge | #sql #dataanalytics #dataengineering

23 May 2026

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DAY 12 | Subqueries & Temp Tables | 30 Day SQL Challenge | #sql #dataanalytics #dataengineering

16 May 2026

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DAY 11 | CASE WHEN | 30 Day SQL Challenge | #sql #dataanalytics #dataengineering

15 May 2026

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Deep Dive

Stephen | Data: Practical Data Engineering Education

Main focus

Stephen | Data is an English-language channel focused on data engineering and data architecture, with educational content built around projects, tutorials, and challenges. Its stated subject areas include SQL, Excel, Spark, Python, Power BI, and related data tools.

Why it matters

Stephen | Data is most useful for learners who want practical exposure to common analytics and data engineering workflows. Its broad tool coverage and sizeable back catalogue give viewers multiple entry points, from spreadsheet and SQL practice to Python, Spark, and business intelligence work.

Style

The presentation is structured around hands-on learning: projects, tutorials, and challenges rather than broad commentary. The tone is technical and skills-focused, aimed at viewers building competence with real data tools.

Consistency

With 455 videos, Stephen | Data offers a substantial archive for learners who prefer to work through technical topics over time. Stephen | Data has a clear educational focus rather than a scattered mix of unrelated subjects.

Data engineering fundamentalsData architecture conceptsSQL practice and problem solvingPython for data workExcel and Power BI workflowsSpark and large-scale data processingProject-based technical learning

Editorial note

Tool-specific tutorials can age as software versions, libraries, and interfaces change. For professional implementation, compare steps with current official documentation and your own workplace standards.