Introduction to the Course

Elevate your data engineering capabilities by mastering Advanced SQL and Python for complex data pipelines. This course equips you with the foundational languages for modern data processing and automation.

Course Description

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.

Course Content

The training covers advanced concepts and practical applications of SQL and Python in a data engineering context:

• 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
• Python for Data Engineering:
  • Advanced Python Programming (OOP, Functional Programming)
  • Data Manipulation with Pandas and NumPy
  • Integrating Python with APIs and external systems
• Building Data Pipelines with Python:
  • ETL/ELT pipeline design and implementation
  • Data ingestion, cleaning, and validation
  • Working with various data formats (CSV, JSON, Parquet)
• Databases and Connectivity:
  • Connecting Python to SQL and NoSQL databases
  • Using Python libraries for database interactions (e.g., SQLAlchemy, Psycopg2)
• Software Engineering Principles in Data Engineering:
  • Version control (Git) and testing
  • Writing efficient, maintainable, and scalable code

Why Choose Artiset and Our Training Methodology

• Deep Dive into Core Skills: We focus intensely on the two most crucial languages for data engineers, ensuring genuine mastery.
• Hands-On, Practical Application: Our curriculum is built around hands-on projects that simulate real-world data engineering challenges.
• Expert Mentorship: Learn from practitioners who apply these skills daily, providing guidance that accelerates your professional development.

Benefits at the End of the Course

Upon completion, you will be able to:

• Write complex, optimized SQL queries and manage database performance.
• Utilize Advanced Python libraries for data manipulation and automation.
• Design and implement robust ETL/ELT pipelines using both SQL and Python.
• Apply software engineering best practices to data projects.
• Position yourself as a highly skilled and job-ready Data Engineer specializing in foundational tools.

About the Trainer

Trainer is a seasoned Data Engineer with more than 15 years of experience building scalable data solutions. Trainer is an expert in Advanced SQL optimization and Python programming for data processing, specializing in performance tuning and automation. Trainer provides expert mentorship through hands-on projects, focusing on equipping participants with the in-demand skills required for efficient and maintainable data engineering workflows.