🛠️ Become a Data Engineer

🛠️ Become a Data Engineer
Learn how to collect, clean, transform, and move data across systems using modern data engineering tools.
📘 Course Summary
In today’s data-driven world, businesses rely on data engineers to build and manage scalable data infrastructure. This Data Engineer Course equips you with the skills to design pipelines, handle big data, and prepare datasets for analytics and machine learning.
You’ll gain real-world experience with tools like:
SQL & Python for data manipulation
Apache Airflow for building data pipelines
ETL (Extract, Transform, Load) techniques
BigQuery, Snowflake, or Amazon Redshift basics
Data Warehousing & Cloud Data Engineering Concepts
This course blends hands-on exercises with professional use cases so you’re ready for real-world roles in data engineering, cloud computing, or big data analytics.
📚 Curriculum Breakdown
What does a data engineer do?
Data lifecycle and data teams overview
Working with Pandas, NumPy, and file operations
Writing efficient scripts for data transformation
Writing advanced SQL queries
Joins, aggregations, subqueries, and CTEs
Hands-on: Designing a mock analytics database
ETL concepts and best practices
Using Apache Airflow for task scheduling
Data cleaning and validation
Intro to BigQuery / Snowflake / Redshift
Stream processing vs batch processing
Final Project: Build an end-to-end data pipeline from ingestion to dashboard
“I wanted to shift from data analysis to a more backend-focused role. This course gave me the pipeline thinking, ETL tools, and SQL skills I needed. I even landed a junior data engineer role before finishing it!
John Reh

Course Price: $74.00
- 🧑🏫 Instructor: Eleanor Fant
- 📚 Modules: 14
- 👥 Enrolled: 20 Students
- ⏳ Duration: 6 Weeks
- 🌐 Language: English