About This Course
This 8-week course is designed to build a strong foundation in data engineering. You will learn how to design, build, and maintain data pipelines and data warehouses, which are the backbone of any data-driven organization. We will cover advanced SQL for data analysis, Python programming for data wrangling, and the core principles of data modeling and warehousing. You'll also get a hands-on introduction to modern data stack tools, including ETL processes and workflow orchestration with Airflow, to prepare you for a role as a data engineer.
What You Will Learn
Key skills you will master in this Data Engineering course:
- Write advanced SQL queries for complex data transformation and analysis.
- Use Python (Pandas) for data extraction, cleaning, and loading.
- Design and query data warehouses using dimensional modeling (Star Schema).
- Build batch ETL (Extract, Transform, Load) and ELT pipelines.
- Schedule and monitor data workflows using an orchestrator like Apache Airflow.
Prerequisites
Intermediate SQL skills are required. You should be comfortable with `JOIN`s and `GROUP BY`. Basic Python programming knowledge is highly beneficial but not mandatory.
Target Audience
- Data Analysts or BI Developers who want to move into engineering.
- Software Engineers interested in data infrastructure.
- Aspiring Data Engineers.
Enroll in This Course
-
Duration:8 weeks
-
Level:Intermediate
-
Mode:Online / Classroom
-
Tracks:Normal/FastTrack
-
Certificate:Yes
-
Support:24/7 Mentorship
Need help? Call us at +1 (908) 428 7996.