Data Engineering Professional Certificate

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Mastering Data Engineering Professional Certificate

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About The Course

The Data Engineering Professional Certificate is a 6-month career-focused program designed to make you confident in handling big data.

You’ll start with the fundamentals—like SQL, Python, and databases—and gradually move into advanced tools such as Apache Spark, Kafka, Hadoop, and Airflow.

This course mirrors real-world systems by covering both real-time (live) and batch (stored) data processing. You’ll also get hands-on experience with tools like MongoDB, Cassandra, and popular BI platforms. Plus, there’s a dedicated module exploring how generative AI is transforming data engineering.

Whether you’re new to data or want to sharpen your backend skills, this program equips you with real project experience to help you feel confident and job-ready as a data engineer.

What you'll learn

Course Breakdown

  • Understand how data systems are designed and connected

  • Learn core concepts like RDBMS, ETL, NoSQL, and data warehousing
  • Learn Python basics using NumPy and Pandas
  • Use Python for data analysis and scripting
  • Work with MySQL and PostgreSQL

  • Design clean and scalable database schemas
  • Write SQL queries using Python

  • Practice with cloud databases and real datasets
  • Master joins, views, and ACID properties

  • Write efficient, real-world SQL queries
  • Automate data flow using Bash scripting and Airflow
  • Build real-time pipelines using Apache Kafka
  • Explore machine learning models using Spark MLlib

  • Understand batch processing and graph theory
  • Automate data tasks using AI-powered tools

  • Work with Hadoop, Hive, and Spark Streaming
  • Build a complete data pipeline from scratch

  • Create a BI dashboard using both real-time and historical data
  • Design and build a complete data pipeline using ETL, NoSQL, Python & SQL

  • Deliver a BI dashboard powered by real-time and historical data

Requirements

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