Learn Data Engineering

This course covers the essentials of data engineering, from handling structured and unstructured data to designing scalable systems with Hadoop, Spark, and Kafka.

Beginner

28 Lessons

4h

Certificate of Completion

This course covers the essentials of data engineering, from handling structured and unstructured data to designing scalable systems with Hadoop, Spark, and Kafka.

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This course includes

69 Playgrounds
35 Quizzes

This course includes

69 Playgrounds
35 Quizzes

Course Overview

Data engineering is the foundation of modern data infrastructure, focusing on building systems that collect, store, process, and analyze large datasets. Mastering it makes you a key player in modern data-driven businesses. As a data engineer, you’re responsible for making data accessible and reliable for analysts and scientists. In this course, you’ll begin by exploring how data flows through various systems and learn to fetch and manipulate structured data using SQL and Python. Next, you’ll handle unstru...Show More

TAKEAWAY SKILLS

Sql

Python

Pandas

What You'll Learn

An understanding of data flow and common data engineering concepts

Working knowledge of SQL and Python for fetching and manipulating structured data

Hands-on experience with NoSQL databases like MongoDB for unstructured data

The ability to design scalable data systems using data warehouses and lakehouses

Familiarity with Hadoop, Spark, and Kafka for big data processing and streaming

What You'll Learn

An understanding of data flow and common data engineering concepts

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Course Content

1.

Dive into Data Engineering

Learn how to understand and follow the data’s journey through data engineering.
2.

Talk to Data

Learn how to fetch, query, and manipulate structured data using SQL and Python.
3.

Think Outside the Table

Learn how to handle unstructured and semi-structured data using NoSQL and MongoDB.
4.

Explore Data Worlds!

Learn how to design scalable data systems using warehouses, lakehouses, and OLAP cubes.
5.

Process and Manage Big Data Effectively

Learn how to store, process, and stream massive data using Hadoop, Spark, and Kafka.
6.

Clean It Up

6 Lessons

Learn how to clean, reshape, and prepare data using pandas for reliable analysis.
7.

Conclusion

1 Lesson

Wrap up your journey and get ready to apply your data engineering skills.

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