Data Engineering for Beginners: Learn SQL, Python & Spark
Who is this course for
Aspiring Data Engineers – Gain industry-relevant skills in SQL, Python, and Spark to build scalable big data pipelines.
Software Developers & Data Analysts – Transition into Data Engineering roles and work with structured and unstructured data.
ETL & BI Professionals – Upgrade your expertise in data transformation and performance optimization with cloud-based tools.
Course Overview
Launch your career in Data Engineering with this beginner-friendly course covering SQL, Python, and Apache Spark (PySpark). You'll learn how to build, manage, and optimize data pipelines, working with real-world batch and streaming data. The course provides a structured approach, starting from database fundamentals to big data processing with Spark on Databricks.
With hands-on projects and cloud-based training, you'll gain practical experience in ETL, performance tuning, and debugging. Whether you're a developer, analyst, or IT professional, this course equips you with high-demand skills to excel in Big Data and Data Engineering roles.
What You'll Learn
- Hands-on experience with SQL, Python, and PySpark to build and optimize data pipelines.
- Real-world projects on batch and streaming data processing with PostgreSQL and Spark.
- Cloud-based training on Databricks (Google Cloud Platform) for scalable Big Data processing.
- Performance tuning techniques to optimize SQL queries and Spark applications.
- Lifetime access with regular course updates and expert guidance.
