7 Best Free Data Engineering Courses & Certification [2020]

best data engineering course class certification training online

20+ Experts have compiled this list of Best Data Engineering Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Data Engineering and these courses are suitable for beginners, intermediate learners as well as experts.

 

7 Best Free Data Engineering Courses, Certification & Training Online [2020] [UPDATED]

1. Become a Data Engineer Certification (Coursera)

If you are looking for guidance and knowledge to begin your career as a data engineer then this path is one of the best options available online. No experience is required to begin your learning and you can follow a step by step plan based on the relevant recommendations provided to you. Making use of the lectures and hands-on projects to work on your skills and by the end of the path, you will be ready to apply to your dream job. You may also be interested in checking out Best Data Science Course.

 

Key USPs-

– The lessons can be accessed on any device and anytime.

– Communicate with your peers by participating in the forums and share ideas and doubts.

– Work on real-life projects and add them to your portfolio that can be showcased in job interviews.

– Improve the business value of your company by building data models, database systems and using business intelligence tools.

– Deploy ML systems on Google Cloud Platform that can be used for developing a solution.

 

Duration: Self-paced

Rating: 4.6 out of 5

You can Sign up Here 

 

 

2. Data Engineering, Big Data on Google Cloud Platform (Coursera)

This comprehensive specialization offered by Google Cloud is designed to provide you with practical knowledge of data processing systems on GCP. Throughout the classes, you will learn how to design the systems first before going ahead with the development process. Apart from this you will also analyze both structured and unstructured data, implement autoscaling and apply ML techniques to extract information. In case you are interested in becoming better at machine learning, don’t forget checking out some of the Top Machine Learning Courses.

 

Key USPs-

– Use open-source software such as TensorFlow, Cloud ML to train and predict solutions.

– BigQuery is used to draw insights from large datasets after it is transformed, cleansed and validated.

– Apart from stored data gain information from an instant stream of data.

– Design and architect pipelines which form the base of the infrastructure.

– The flexible deadline allows you to learn at your own pace.

– Complete the hands-on assignments and assessments to earn the certification.

 

Duration: 1 month, 16 hours per week

Rating: 4.5 out of 5

You can Sign up Here 

 

 

3. Become a Data Engineer: Mastering the Concepts (LinkedIn Learning – Lynda)

In this learning path, you will explore all the essential concepts that will equip with you the skills required to implement them in real-world situations and pursue a career in this field. Begin with the foundational training that will acquaint you with the necessary technical jargons and concepts before moving on to databases that can be used to store and manage any scale of data. Once you are done with these fundamental concepts you can indulge in the various tools and open-source software that will show you how to architect big data applications, build data pipelines, handle real-time apps using Hazelcast and Apache Spark to name a few crucial topics.

 

Key USPs –

– Understand how to perform core data engineering tasks such as staging, cleansing, and migrating data.

– Work on NoSQL to improve flexibility and performance of the solutions that you develop.

– Introductory lectures talk about how to make use of the exercises and perform the necessary configurations for the tools used.

– Explore HBase architecture and Hadoop database.

– Learn about the best practices and use cases for working with both stored as well as a stream of data.

– Lectures and exercises and be accessed both online and offline.

– Get free access to all the content for the first thirty days after signing up.

 

Duration: 16 hours

Rating: 4.6 out of 5

You can Sign up Here

 

 

4. Data Engineering Nanodegree Certification (Udacity)

With the exponential increase in the rate of data growth nowadays, it has become increasingly important to engineer data properly and extract useful information from it. This nanodegree has been designed with the sole purpose of helping you to learn about the techniques to design a data model, build warehouses, automate the processing and handle various scales of information. To enroll in the classes and follow along easily you are required to have intermediate knowledge about Python and SQL. End the lesson by working on a capstone project and showcasing what you have picked up in the lectures. If you specifically want to excel at Python, then don’t forget to check our compilation of Python Certification.

 

Key USPs –

– Use NoSQL, PostgreSQL and Apache Cassandra to create databases and models.

– Explore how cloud-based warehouses are built and how they function.

– Get acquainted with Apache Spark and understand how to work with large datasets.

– Schedule and automate pipelines and monitor the progress to come up optimizations.

– Interact with your one on one technical mentor to clarify your doubts and get guidance.

– Access to sessions that will groom you for interview prep, improve your resume and more.

– The learning schedule is customized to fit your personal goals.

 

Duration: 5 months, 5 hours per week

Rating: 4.5 out of 5

You can Sign up Here

 

 

5. Big Data for Data Engineers Certification (Coursera)

If you are interested in jump-starting a career in one of the in-demand fields like Data Analyst, Scientist or Engineer then this is the program for you. The classes explore topics such as Hadoop, MapReduce, Spark that are accompanied by practical assignments. Once you have built a strong foundation you can move on to data processing in real-time and applying machine learning on a large scale. The curriculum is designed in such a way that by the time you end the specialization you will not only have the theoretical knowledge to take on more advanced classes but also some experience with the relevant tools and software.

 

Key USPs-

– The specialization consists of four concise courses with increasing level of difficulty.

– Learn to deploy the designed models in a production environment.

– Work on coding exercises and understand the topics inside and out.

– The instructor explains all the topics in great detail and helps to clear doubts.

– Gain best practices and tips from some of the top professionals in this field.

– Graded assessments, quizzes, and assignments with feedback help you to measure your grasp on the topics covered and improve your weak areas.

 

Duration: 8 months, 8 hours per week

Rating: 4.5 out of 5

You can Sign up Here

 

 

6. Free Data Engineering Courses (edX)

This e-learning platform has compiled a series of programs that with make you familiar with this field and guide you in your journey to design analytical solutions. The options are categorized based on the level of difficulty so that you can choose one according to your current experience level. Some of the bestsellers include strategies to transform your business, analytics using Spark, and enterprise data management.

 

Key USPs-

– Choose from individual courses, micromasters program, and professional certifications.

– Key tools used in the lectures include Spark, Hadoop, Azure.

– Decide which database works best based on the solution.

– Attempt the quizzes, and exercises that follow the theory lectures.

– Thorough guidance is provided to set up the environment for the software and tools used in the programs.

– Get examples that demonstrate how solutions are devised in real life.

– Most of the courses can be audited for free.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 

 

 

7. Data Engineer Path (DataQuest)

If you have prior experience in Python and want to upgrade your knowledge to build a career as a data engineer then this path is worth a look. Understand how to build data pipelines using Python and pandas. Load large datasets in the Postgres database after cleansing, transforming and validating it. Once you are done with this you can cover the different algorithms and data structures that can make the analysis process faster and give better results.

 

Key USPs-

– Work with production databases and optimize the data handling process.

– Parallelize your code and improve CPU and I/O performance.

– Learn about recursion and trees and implement them in your programs.

– Understand how data is processed in batches and augment pandas with SQLite.

 

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here 

 

So these were the 7 Best Data Engineering Tutorial, Class, Course, Training & Certification available online for 2020. Hope you found what you were looking for. Wish you a Happy Learning!