Data engineers are experts in storing, retrieving, and processing large quantities of data. They design databases and other systems to store and manage data effectively.
Data engineers work with a variety of technologies, including relational databases, big data frameworks like Hadoop or Spark, NoSQL databases like MongoDB or Cassandra, and analytics engines like R or Python.
This article lists the best data engineering certification courses you can take in 2022. We’ve reviewed multiple learning platforms to help you find the best platform for the certification course.
A recent survey was published by Statista that predicted the data market would grow by 175 zettabytes by 2025. One zettabyte is so huge we had to use the online calculator to get the result, it equals 931322574615.48 GB.
It’s Data Engineer’s job to manage the data in every organization; hence it is safe to conclude there will be a huge job market for Data Engineers.
Now that you’ve made up your mind to become a data engineer, you may be probably wondering where to learn data engineering for certification.
We’ve compiled this list of the best online Data Engineering courses to help you find one to learn online. These are the recommended certifications course whose certificate is recognized across many organizations in the world.
TL;DR | In a Hurry?
If you don’t have much time, use the below links to find the best courses for data engineering. Rest assured, we only recommend the best online course for data engineer certification:
–Become a Data Engineer by Udacity is a great course created in collaboration with INSIGHT. This is our top recommendation to take.
–Data Engineering with Google Cloud in Coursera is a data engineer course you can take
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Best Online Data Engineering Courses 2022
Data engineering is the process of designing, building, and maintaining the data infrastructure.
Data engineers work with various technologies, including relational databases, big data frameworks like Hadoop or Spark, NoSQL databases like MongoDB or Cassandra, and analytics engines like R or Python.
The average salary for a data engineer is $115K per year in the United States.
1. Data Engineering Bootcamp – Springboard
Springboard’s Data Engineering Career Track is the best certification for a data engineer. It features the best in the class curriculum to train students to become data engineers from scratch. The only prerequisite of the program is that you should be proficient in Python and SQL. It offers more than 400 hours of training with a combination of video lectures, projects, readings, and career resources.
Along with the world-class syllabus, the good thing about this career track program is mentorship. You get personal mentorship who follows up with you every week of the program. They will help you stay on track with the course and not lose interest. The career coach will help you create an eye-catching resume and tips and tricks to win the interview.
Key takeaways of this course:
- The experts in the field have created the best learning path for a data engineer.
- Features 100% money-back guarantee.
- It provides access to the student community to get in touch with other students and discuss the related topics.
- Mock interviews will be conducted to build your confidence level to be ready for a real one.
- It helps you to build a stunning resume and Linkedin profile.
- It includes 2 capstone projects for you complete with real-world tasks.
- Provide training on salary negotiation and building your professional network.
The certification in Springboard Data Science is one of the best data engineering certifications out there. Students can complete the course in 6 months and be ready to begin a new career as Data Engineer. Read the full review of this course.
2. Become a Data Engineer – Udacity
Udacity Data Engineer Nanodegree program is for those who have skills in Python and SQL. Here you are trained to design data models, build data lakes and data warehouses, and work with datasets. If you are looking for a prerequisite course, consider taking Programming for Data Science with Python. In this course, you’ll have enough training in SQL and Python to get started with Data Engineer.
Like Springboard, Udacity also offers career services such as resume review and Linkedin profile review. The only difference is the money-back. With self-paced training, you will get to practice on real-world projects to be job-ready. At the end of the course, you’ve to complete the capstone project to earn your Become a Data Engineer certificate from Udacity. Check the full Udacity Data Engineer Nanodegree review to find its full features.
Key takeaways of this course:
- Get hands-on experience in building relational and NoSQL data models, running data pipelines, creating databases on the cloud, and more.
- You can feature the projects that you worked on your resume to stand out among others.
- It helps you in bettering your resume and creating an impressive portfolio.
- Understand how the entire ETL pipeline is built and is used in BI apps.
- Learn to write better code using the PEP-8 standard.
By dedicating a few hours per day, you can complete the Nanodegree program in 5 months. Taking an online course to learn SQL and Python will also help if you’re an absolute beginner.
3. Data Engineering with Google Cloud – Coursera
Google Cloud developed this course Data Engineering with Google Cloud professional certificate. It has all the necessary training material to acquire skills needed to advance a career in data engineering. Its training curriculum is industry-recognized for data engineering certification. Students who enroll in this course will practice job-ready skills through demos, presentations, and practice labs.
This professional certificate course comes with a bundle of 6 courses. To begin your journey in this program, one should have the basic knowledge to write SQL commands, some experience in Python, ETL activities, ML, and statistics. Probability and Statistics are necessary for the ML field. By successfully completing the data engineer on the cloud program, you get the certification of completion that can be shared with your possible future employer.
Key takeaways of this course:
- Get the necessary training to be successful in the data engineer role.
- Learn the infrastructure and platform services offered by Google Cloud.
- This course prepares students to get Professional Data Engineer certification.
- Multiple hands-on projects are provided to learners to master skills on Google BigQuery.
- You will be able to take the exam on the Google Cloud Professional Data Engineer exam.
This course on Coursera Data Engineering is an intermediate course to advance the data engineering profession. Check out other techniques on Google Cloud Certification that you can take. The duration of the course is 4 months.
4. Data Science and Engineering with Spark – edX
This course was created in partnership with Databricks to train Data Science and Engineering with Spark on edX. It teaches you to use Spark for data science and data engineering tasks. Students are trained in Spark and distributed machine learning algorithms to teach working with big data. The trainers are from the top university, the University of California, Berkeley (BerkeleyX). This is an instructor-led training program on Data Engineering.
By taking this training and participating in several hands-on labs, you will gain enough experience in building and debugging Spark applications. By the end, you will earn the certificate from edX. There are many advantages to a professional certificate in edX data engineering. For one, edX is one of the top MOOCs recognized across the globe by several organizations.
Key takeaways of this course:
- It contains a bundle of three courses.
- It provides training on how to use Spark and its libraries to solve big data problems.
- Learn to solve large-scale data engineering and science problems.
- The assignments from the course include log mining, textual entity recognition, and collaborative filtering exercises.
- Learn to implement distributed algorithms for fundamental statistical models.
The duration to complete this data engineering online training is 3 months. The assignments and exams of the course will be conducted on specific due dates.
5. Data Engineering, Big Data, and Machine Learning on GCP Specialization – Coursera
This data engineer specialization course contains a total of five courses. It is specially curated for at least one year of experience on any one or more of the following: Python, Data modeling, ETL activities, SQL, Machine learning, or Statistics. Students begin the training by learning the capabilities of Big Data and Machine learnings on the Google Cloud Platform. Then proceed towards advanced topics such as data lakes and data warehouses in GCP.
The instruction training is crystal clear and effortless to understand by anyone. The training starts with the basics so that students are not overwhelmed by the information they receive. By the end, you will be able to build end-to-end data pipelines, design data processing systems, analyze data, and derive insights.
Key takeaways of this course:
- Learn the lift and shift method to transfer existing Hadoop workloads to Google Cloud.
- You will learn to design and build data lakes on GCP.
- Learn how to use TensorFlow to train and use Neural Networks in GCP.
- Build different Machine Learning models using pre-built ML APIs.
- Understand how to get instant insights from streaming data.
This data engineer certification course online can be completed in 5 months. So far, more than 18k students have enrolled in this course.
6. Data Engineer with Python – DataCamp
A comprehensive course on Data Engineer with Python career track by DataCamp is one of the top training materials. It has covered 19 data engineering courses with over 75 hours of training. If you know the fundamentals of SQL and Python, you are good enough to take this course. By taking DataCamp membership, you can dive right into the tutorial.
It begins with an introductory course on data engineering to provide an overview of job roles and tools they use. Then your skill begins by writing Python codes and shell scripting. The advanced topics cover using AWS Boto to harness the data engineer in the cloud platform. It also covers some topics on Scala, a popular programming language for this specific purpose.
Key takeaways of this course:
- You can start learning by taking the first chapter of the course for free.
- Several exercises are covered to give you hands-on practice.
- Training on streamlined data ingestion with pandas is covered.
- Introduction to shell and bash scripting is covered to provide command-line experience.
- Write scripts to catch and handle errors since several operations are happening at once.
You can complete this training in about 2-3 months, depending on the time you contribute to the study hours.
7. Introduction to Data Engineering by DataCamp
This course is for beginners to learn what Data Engineering is all about. The course’s learning material provides only an introduction session on Data engineering. It teaches what data engineers do and instructs the path to becoming a data engineer. The training videos cover enough factors to explore the study of this field.
This introductory course consists of 4 chapters in total; however, you can take the first one for free. By taking the first course, one can understand the quality of the training material. It is a combination of video tutorials and practice exercises on Data engineering. Take this course and be the first one to introduce the techniques to your organization.
Key takeaways of this course:
- Understand the key difference in roles between data engineers and data scientists.
- Suitable for beginners to understand the concepts of a data engineer.
- Get a brief overview of training on topics of data engineers and the tools they use.
- It contains 4 hours of video training with 15 videos plus 57 exercises to practice.
- Learn the daily workflow of a data engineer.
You can complete this basic introduction session in about a week to learn the Data Engineer career path. If you’re looking for a serious data science career track program, you should enroll in any of the above courses.
Summary: Best Data Engineering Certifications Course
These are the best online Data Engineering courses you can take to earn the certification. Every course is curated to provide specific training to advance your career to the next level.
Learning data engineering courses online is a great way to get started in the field, and it will give you the basic skills you need to be successful in the field.
The data engineering course teaches you about tools and techniques for extracting value from raw data, processing and storing it, using it for machine learning, and more.
If you’re just starting out, you should have the necessary skills in Python and SQL. These are the 7 best certifications for a data engineer to take online to start your learning journey.
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