The editors at Solutions Review have compiled this list of the best data engineering courses and online training to consider.
Data 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.
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.
More “Top-Rated” Coursera paths: Python Project for Data Engineering
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.
More “Top-Rated” DataCamp paths: Building Data Engineering Pipelines in Python, Introduction to Data Engineering
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.
More “Top-Rated” edX paths: Python for Data Engineering Project
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.
More “Top-Rated” LinkedIn Learning paths: Data Science Foundations: 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.
More “Top-Rated” Pluralsight paths: Data Engineering with AWS Machine Learning
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.
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.
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.
More “Top-Rated” Udemy paths: Data Engineering, Serverless ETL & BI on Amazon Cloud, Data Engineering on Google Cloud Platform
