The 8 Best Data Engineering Courses and Online Training for 2021

The Best Data Engineering Courses and Online Training

The editors at Solutions Review have compiled this list of the best data engineering courses and online training to consider.

SR FindsData engineering is the process of designing and building pipelines that transport and transform data into a usable state for data workers to utilize. Data pipelines commonly take data from many disparate sources and collect them into data warehouses that represent the data as a single source. To do so, data engineers must manipulate and analyze data from each system as a pre-processing step.

With this in mind, we’ve compiled this list of the best data engineering courses and online training to consider if you’re looking to grow your data management or analytics skills for work or play. This is not an exhaustive list, but one that features the best data engineering courses and online training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well.

The Best Data Engineering Courses

Introduction to Data Engineering

Platform: Coursera

Description: This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem.

Related path/track: Python Project for Data Engineering

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Data Engineering for Everyone

Platform: DataCamp

Description: In this course, you’ll learn about a data engineer’s core responsibilities, how they differ from data scientists, and facilitate the flow of data through an organization. Through hands-on exercises you’ll follow Spotflix, a fictional music streaming company, to understand how their data engineers collect, clean, and catalog their data.

Related paths/tracks: Building Data Engineering Pipelines in Python, Introduction to Data Engineering

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Data Engineering Basics for Everyone

Platform: edX

Description: Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making.

Related path/track: Python for Data Engineering Project

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Data Engineering Foundations

Platform: LinkedIn Learning

Description: In this course, Harshit Tyagi explains the fundamentals of data engineering. He covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow. By the end of this course, it should be abundantly clear why the data engineer is one of the most valuable people in a data-driven organization.

Related path/track: Data Science Foundations: Data Engineering

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Modern Enterprise Data Engineering

Platform: Pluralsight

Description: Data Operations (DataOps) is a methodology consisting of people, processes, tools, and services for enterprises to rapidly, repeatedly, and reliably deliver production-ready data from the vast array of enterprise data sources. Learn how to and why implementing these key ingredients can help a business achieve the analytic velocity necessary to create a competitive advantage.

Related path/track: Data Engineering with AWS Machine Learning

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Big Data Engineer

Platform: Simplilearn

Description: Enter the role as a big data engineer with this certification course. It features masterclasses and Ask me Anything sessions by IBM. Learn job critical skills like big data and Hadoop frameworks, leverage the functionality of AWS services, and learn to use the database management tool and MongoDB to store data via interactive live sessions, practical labs, & industry projects.

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Become a Data Engineer Nanodegree

Platform: Udacity

Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. To be successful in this program, you should have intermediate Python and SQL skills.

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Data Engineering – ETL, Web Scraping, Big Data, SQL, Power BI

Platform: Udemy

Description: In this beginner course, you will learn how to get started with this powerful toolset. Learners will cover topics like connecting to and transforming web-based data sources. You will also learn how to publish and share your reports and visuals on the Power BI service.

Related paths/tracks: Data Engineering, Serverless ETL & BI on Amazon Cloud, Data Engineering on Google Cloud Platform

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NOW READ: The Best Data Engineering Books on Our Reading List

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Timothy King

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Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
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