Course Statistics
300+
Students Enrolled
84%
Completion Rate
4.6/5
Average Rating
✓ Prerequisites
Basic SQL knowledge
Python fundamentals
Statistics basics
★ What You'll Learn
Advanced SQL
ETL pipeline design
Data visualization
Big Data tools
Analytics projects
Data warehousing
🎯 Industrial Experts
Learn from industry leaders and experienced professionals who bring real-world expertise to the classroom.
Data Engineering Lead
10+ years in building scalable data systems and pipelines
Analytics Expert
Specialized in business intelligence and advanced BI tools
🎓 About This Course
Master the art of extracting insights from data. Learn to build scalable ETL pipelines, create compelling visualizations, and make data-driven decisions. Work with real-world datasets and enterprise tools.
Course Syllabus (4 Weeks)
Week 1: SQL, Python & Data Processing
- Complex queries & joins
- Window functions
- Pandas & NumPy mastery
- Data cleaning & transformation
- Feature engineering
Week 2: ETL Pipelines & Warehousing
- Pipeline design patterns
- Data warehousing basics
- Apache Spark introduction
Week 3: Data Visualization & BI
- Tableau and Power BI
- Interactive dashboards
- Business intelligence
Week 4: End-to-End Capstone
- End-to-end data project
- Performance optimization
- Presentation skills
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