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Professional Data Engineer in Python

Take your skills to the next level with our Professional Data Engineer track. This advanced track is designed to build on the Associate Data Engineer in SQL and Data Engineer in Python tracks. It equips you with the cutting-edge knowledge and tools demanded by modern data engineering roles. Throughout this journey, you'll master modern data architectures, enhance your Python skills with a deep dive into object-oriented programming, explore NoSQL databases, and harness the power of dbt for seamless data transformation. Unlock the secrets of DevOps with essential practices, advanced testing techniques, and tools like Docker to streamline your development and deployment processes. Immerse yourself in big data technologies with PySpark and achieve mastery in data processing and automation using shell scripting. Engage in hands-on projects and tackle real-world datasets to apply your knowledge, debug complex workflows, and optimize data processes. By completing this track, you'll not only gain the advanced skills needed to conquer complex data engineering challenges but also the confidence to apply them in the dynamic world of data engineering.

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1
Understanding Modern Data Architecture

Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.

2 hours

Miller Andrés Trujillo Achury Headshot

Miller Andrés Trujillo Achury

Senior Software Engineer at Microsoft

2
Introduction to Shell

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

4 hours

Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor at DataCamp

3
Containerization and Virtualization Concepts

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

2 hours

Julia Ostheimer Headshot

Julia Ostheimer

Freelance AI Consultant

4
Introduction to dbt

This course introduces dbt for data modeling, transformations, testing, and building documentation.

4 hours

Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

5
Introduction to Object-Oriented Programming in Python

Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!

3 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

6
Introduction to NoSQL

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

4 hours

Jake Roach Headshot

Jake Roach

Data Engineer

7
DevOps Concepts

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

4 hours

Cem Sakarya Headshot

Cem Sakarya

Instructor & DevOps Risk Advisor

8
Introduction to Testing in Python

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.

4 hours

Alexander Levin Headshot

Alexander Levin

Senior Data Scientist

9
Debugging a Sales Data Workflow

Sometimes, things that once worked perfectly suddenly hit a snag. Practice your knowledge of DataFrames to find the problem and fix it!

2 hours

Katerina Zahradova Headshot

Katerina Zahradova

Content Developer

10
Introduction to Docker

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

4 hours

Tim Sangster Headshot

Tim Sangster

Full Stack Software Engineer

11
Cleaning an Orders Dataset with PySpark

Step into a data engineer's shoes and master data cleaning with PySpark on an e-commerce orders dataset!

2 hours

Rufat Mustafaev Headshot

Rufat Mustafaev

Data Scientist, Booking.com

12
Streaming Concepts

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

2 hours

Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

13
Introduction to Apache Kafka

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

2 hours

Mike Metzger Headshot

Mike Metzger

Data Engineer Consultant @ Flexible Creations

14
Introduction to Kubernetes

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

3 hours

Frank Heilmann Headshot

Frank Heilmann

Platform Architect and Freelance Instructor

15

webinar

Impactful Data Engineering—with Datadog's Wouter de Bie

Understand how data engineering can impact your business.

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Prerequisites

  • Data Engineer

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