Best Data Engineering Courses & Certification (September 2022)

  • Post last modified:15 April 2022
  • Reading time:26 mins read
  1. Data Engineering Nanodegree Certification [Udacity]

  2. Data Engineering ETL, Web Scraping , Big Data, SQL, Power BI [Udemy]

  3. Data Engineering with AWS Machine Learning [Pluralsight]

  4. Data Engineering with Google Cloud [Coursera]

  5. Become a Data Engineer: Mastering the Concepts [LinkedIn Learning]

  6. Introduction to Data Engineering [Coursera]

Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale, according to Coursera. Data engineers work in various environments building systems that collect, manage, and convert raw data into usable information for other professionals to interpret.

In this article, we have compiled the best online Data Engineering Courses and Certifications where you can learn the essential concepts of Data Engineering and land a high-paying job with a bright career ahead.

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7 Best Data Engineering Courses, Certification, Classes, Tutorials

Data Engineering Nanodegree Certification [Udacity]

Data Engineering Nanodegree Certification offered by Udacity is an excellent online course for Data Engineering and Big Data Analysis. Data Engineering is considered the foundation for the exciting new world of Big Data, and this course will guide you step-by-step in learning to analyze Big Data and improve your skills in Data Engineering. It will also be helping you to build production-ready data infrastructure, which is an essential skill in advancing your data career.

It is taught by several experienced tutors such as Amanda Moran, Ben Goldberg, Sameh El-Ansary and Olli Iivonen. Amanda has worked as a Software Engineer for the last 6 years, while Ben Goldberg is a staff engineer at SpotHero. Sameh is the CEO of Novelari, a lecturer at Nile University and the American University in Cairo, and Olli works as a Data Engineer at Wolt.

Key Highlights & USPs

  • Learn to create relational and NoSQL data models to fit the diverse needs of data consumers.

  • Sharpen your data warehousing skills and deepen your understanding of data infrastructure.

  • Understand the big data ecosystem and how to use Spark to work with massive datasets.

  • Schedule, automate, and monitor data pipelines using Apache Airflow.

  • Run data quality checks, track data lineage, and work with data pipelines in production.

Who is it for?

This data engineering program is designed for people who want to become data engineers or pursue related job careers and titles such as analytics engineer, big data engineer, and data platform engineer. Data engineering skills are also helpful in adjacent roles such as data analysts, data scientists, and machine learning engineers.

Rating: 4.6/5
Students Enrolled: 1400
Duration: 5 months

Data Engineering ETL, Web Scraping , Big Data, SQL, Power BI [Udemy]

This Data Engineering course offered by Udemy will teach you everything you need to know about the most relevant Data Engineering technologies and techniques such as ETL, SSIS, Big Data, and Web scraping. In this online course, you will be learning in-depth about Extract, transform, and load (ETL); SQL Server Integration Services (SSIS), Structured Query Language (SQL), and Power BI. The most exciting thing about this course is that it is beginner-friendly, and you will be learning how to get started with these powerful toolsets.

It is made by Bluelime Learning Solutions, which is an eLearning platform. With a 4.1 Instructor Rating, Bluelime has engaged in various types of projects for fortune 500 companies and understands what is required to prepare students with the relevant skills they need.

Key Highlights & USPs

  • Learn the core fundamentals of ETL, SQL, and SSIS

  • Understand how to implement ETL combined with SSIS

  • Become familiar with Data Interaction in SQL (Transact-SQL)

  • Learn what is Big Data and the basics of Apache Hadoop

  • Understand Data Interaction with the robust Power BI

  • Learn how to connect Web Data with Power BI

Who is it for?

It is excellent data engineering for beginners who want to learn how to interact with various types of data and start with the fundamentals of Big Data. It is also helpful for people who want to pursue an aspiring career in the field of Data Engineering.

Rating: 3.6/5
Students Enrolled: 24,755
Duration: 13 hours

You can Sign up Here

Data Engineer Learning Path [Coursera]

The Data Engineering career path offered by Coursera is an excellent library of online Data Engineering courses, where you can learn essential skills to build a career as a data engineer. These courses are top-rated programs from leading universities and companies and can prove extremely helpful if you are looking for top Data Engineering courses online.

Coursera has worked with the experts of the Data Engineering career field to understand the skills needed and selected the right courses to help learners achieve their career goals and learn the most essential skills.

Key Highlights & USPs

  • Learn SQL Basics for Data Science and develop SQL query fluency

  • Understand how to generate powerful reports based on business data

  • Learn big data is organized, analyzed, and interpreted Get practical with data analysis, and turn business intelligence into real-world outcomes.

  • Learn the basics of machine learning and data mining by Stanford University

Who is it for?

It is designed for people who want to start learning the basics of Data Engineering. It is also helpful for people who want to pursue an aspiring career as Business Intelligence Analysts, Business Intelligence Developers, and Data Engineers.

Rating: 4.7/5
Students Enrolled: 24,682
Duration: 3 months, 12 hours/week

You can Sign up Here

Data Engineering with AWS Machine Learning [Pluralsight]

Data Engineering offered by Pluralsight is one of the most comprehensive courses available online on Big Data and Data Engineering. In this course, you’ll be learning how to choose the right AWS service for each of these data-related machine learning ML tasks for any given scenario.

You will explore the wide variety of data storage solutions available on AWS and what each type of storage is used for. Next, you’ll discover the various AWS services used to ingest data into ML-specific services. Finally, you’ll learn how to transform your raw data into the proper formats used by the various AWS ML services.

It is created by Kim Schmidt, who is an AWS Partner & Vendor. She’s worked for several prominent corporations like Google, Microsoft, & AWS.

Key Highlights & USPs

  • Understand the fundamentals of Data Characteristics and their ML solutions

  • Become fluent with Data Flow for Machine Learning

  • Learn to explore various Database options on AWS

  • Understand how to use Data Warehouse/Data Lake as an ML repository

  • Learn how to perform Batch Data Ingestion on AWS

Who is it for?

It is ideal for people who want to dive into Data Engineering and want to learn from scratch. This course will teach you everything you need to know about data engineering and its applications such as AWS and Machine learning successfully.

Rating: 3.5/5
Duration: 3 hours

Data Engineering with Google Cloud [Coursera]

Data Engineering with Google Cloud is one of the most highly-rated online programs available for Big Data Analysis and Data Engineering. Taught by the prestigious team of Google Cloud, it was ranked #1 on Global Knowledge’s list of 15 top-paying certifications in 2021. It is divided into 6 separate courses which focus on different aspects of Data Engineering. When you complete all of the courses in the program, you’ll earn a Certificate to share with your professional network as well.

It is designed by the Google Cloud Training team, which is responsible for developing and delivering quality training, enabling Google’s enterprise customers to use their products and solution offerings effectively.

Key Highlights & USPs

  • Understand the fundamentals of Big Data and Machine Learning

  • Employ BigQuery to carry out interactive data analysis

  • Learn how to modernize Data Lakes and Data Warehouses with GCP

  • Identify the purpose of key Big Data and Machine Learning products in Google Cloud.

  • Use Cloud SQL to migrate existing MySQL and Hadoop/Hive workloads to Google Cloud.

Who is it for?

It is ideal for people who want to pursue a bright career in Data Engineering and Analysis or looking to change their current career path. It is also helpful for people who have intermediate knowledge and experience of data analysis, and want to upgrade their current skills in the field of Data Science.

Rating: 4.6/5
Students Enrolled: 60,985
Duration: 3 months

You can Sign up Here

Become a Data Engineer: Mastering the Concepts [LinkedIn Learning]

This online course is offered by LinkedIn Learning, and it will be teaching you the most essential features of Data Engineering and Big Data. With this course, you will learn how to build extensive data engineering and DevOps skills as you learn its most fundamental concepts. With this learning path, master the tools of the trade and how to apply them in real-world data project environments and platforms. You will be building a foundation in data engineering and data science DevOps and exploring various techniques deployed in common tools and platforms.

It is designed by various experienced instructors such as Ben Sullins, Emma Saunders, Melanie McGee, and Kumaran Ponnambalam. Ben is a host of free the data podcast, while Emma works in Product Design at Swiss Re. Melanie is the CEO of We Can IT, and Kumaran is a Big Data/AI author.

Key Highlights & USPs

  • Discover the basics of big data and core data engineering tasks including staging, profiling, cleansing, and migrating data.

  • Learn how to write your own SQL code and get the data you need for analysis.

  • Become fluent with the fundamentals of NoSQL

  • Understand how to make Apache Spark work with other Big Data technologies.

  • Learn to write basic SQL queries, sort, and filter data, and join results from different tables.

Who is it for?

It is designed for people who want to learn the fundamentals of Data Engineering from scratch and understand the essential concepts of Big Data. It is also helpful for people aspiring to start or switch to a Data Science related career path.

Rating: 4.3/5
Duration: 13 hours

You can Sign up Here

Introduction to Data Engineering [Coursera]

Introduction to Data Engineering offered by Coursera is one of the most highly-rated Data Engineering courses available online right now. This course will introduce you to the core concepts, processes, and all the essential tools you need to know for getting a foundational knowledge of data engineering.

This course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset.

It is created by Rav Ahuja and Priya Kapoor, both of whom are highly-rated instructors on Coursera. Rav is the Global Program Director at IBM Skills Network, while Priya is a Senior Instructional Designer & Content Developer at Skill-up Technologies.

Key Highlights & USPs

  • Learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data

  • Gain an understanding of what Big Data is, and the tools used for processing and storing Big Data

  • Become fluent with the various entities of the modern data ecosystem and the role of Data Engineers, Data Scientists, Data Analysts

  • Understand about ETL and ELT processes, data pipelines, and data integration platforms

  • Learn about the process and tools used for gathering, importing, and querying data

Who is it for?

It is designed for people wanting to gain the basic skills required for an entry-level data engineering role. It is also excellent for people who want to develop an understanding of essential concepts of Data Engineering like Relational Databases, NoSQL Data Stores, Data Warehouses, and Data Pipelines.

Rating: 4.8/5
Students Enrolled: 21,872
Duration: 10 hours

You can Sign up Here

FAQ

Is Data Engineering a good career choice?

In the coming years, data is going to be a valuable asset. As long as data keeps increasing, the demand for Data Engineers and Data analysis will not stop. Data Engineering is the fastest-growing job in 2019 according to several reports like DICE’s 2020 Tech Job Report and LinkedIn’s Emerging Job Report 2020.

In short, it is an excellent and future-proof career choice.

What is the salary of a Data Engineer?

The average salary of a Data Engineer based in the USA is $111,933, with some of them earning as much as $164,000 per year, according to Glassdoor (June 2021). So, it is a well-paying career.

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