Advanced SQL & Python for Data Engineering
Elevate your data engineering capabilities by mastering Advanced SQL and Python for complex data pipelines. This course equips you with ...
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While new tools emerge, SQL and Python remain the core languages for data engineers. This course goes beyond the basics, focusing on Advanced SQL techniques (e.g., window functions, CTEs, performance tuning) and Advanced Python programming (e.g., data manipulation, API integration, software engineering principles) essential for building scalable and robust data pipelines. Through hands-on projects, you will gain the in-demand skills required to automate workflows, optimize data processes, and drive career growth in data engineering.Â
Advanced SQL & Python for Data Engineering
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1
Advanced SQL Concepts- Mastering Window Functions (LAG, LEAD, RANK, etc.)
- Common Table Expressions (CTEs) and Recursive Queries
- SQL Performance Optimization and Indexing
- Data Modeling and Normalization
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2
Python for Data Engineering
- Advanced Python Programming (OOP, Functional Programming)
- Data Manipulation with Pandas and NumPy
- Integrating Python with APIs and external systems
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3
Building Data Pipelines with Python
- ETL/ELT pipeline design and implementation
- Data ingestion, cleaning, and validation
- Working with various data formats (CSV, JSON, Parquet)
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4
Databases and Connectivity
- Connecting Python to SQL and NoSQL databases
- Using Python libraries for database interactions (e.g., SQLAlchemy, Psycopg2)
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5
Software Engineering Principles in Data Engineering
- Version control (Git) and testing
- Writing efficient, maintainable, and scalable code
Starting Course
What is SQL?
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Data Engineering
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