9 Best Data Engineering Courses & Certification [2021 OCTOBER][UPDATED]

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 2021. 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. Check out Data Science Executive Education Programs.

 

9 Best Data Engineering Courses, Certification & Training Online [2021 OCTOBER] [UPDATED]

1. Post Graduate Data Engineering Certification Program (Purdue University)

Purdue UniversityIf you are interested in pursuing a career in data engineering, this postgraduate program is a great option. Prepared by experienced instructors of Purdue University, this program focuses on distributed processing with the Hadoop framework, data pipelines with Kafka, large-scale data processing using Spark, and working with big data on AWS and Azure Cloud infrastructure. During the lessons, you will cover various aspects of big data and data engineering, basics of Apache Python, AWS EMR, the Hadoop ecosystem, Kinesis, Sagemaker, and AWS Cloud platform. Moreover, the curriculum is included with additional benefits, such as IIMJobs Pro Membership, Resume Assistance, Career Monitoring, and Interview Preparation.

 

Key USPs –

– Created in collaboration with IBM, this program offers a high-engagement learning experience with real-world applications to help you master crucial data engineering skills

– Gain important knowledge and insights into how to improve business productivity by processing large volumes of data and extracting valuable information from them

– Learn how to steer the AWS management console, understand AWS security measures, storage, and database options while gaining expertise in web services like RDS and EBS

– Work with a capstone project and hands-on exercises that are available to test your knowledge and improve your learning skills

 

Duration: 8 months, 5-10 hours/week

Rating: 4.7 out of 5

You can Sign up Here

 

Review: The curriculum was well organized, covering all the root concepts and relevant real-time experience. The trainer was well equipped to solve all the doubts during the training. Cloud lab facility and materials provided were on point. – Vignesh Balasubramanian

 

 

2. 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

 

 

3. Data Engineer Learning Path (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 

 

 

4. Professional Certificate in Data Engineering (MIT xPRO)

This professional certificate is designed to help you start a career in this high-growth field by gaining exposure to various aspects of data engineering. Joining this respective curriculum will enable you to learn code in Python, use SQL to create databases, and understand how networks like Ips, servers, and security. You’ll learn how to manage big data with data warehousing and workflow management platforms with cutting-edge data engineering proposals and tools to manage data. The curriculum is prepared with high-quality video lectures, graded assignments, quizzes, and real-world examples. Besides, you’ll get to build a GitHub portfolio of your projects to share with potential employers.

 

Key USPs –

– A well-structured program organized to help you learn and understand the critical aspects of data engineering

– Learn to wrangle and analyze millions of pieces of data using databases in Python while learning the fundamentals of Python programming

– Learn to work with relational databases using SQL and how to work with Python to create databases and server pipelines

– Know how to integrate various tools with the help of Python and examine the security of data, create related APIs, and obtain a deeper understanding of data wrangling

 

Duration: 6 months, 15-20 hours/week

Rating: 4.6 out of 5

You can Sign up Here

 

 

5. Data Science (Berkeley ExecEd)

Berkeley-Exective-EducationSpecifically designed for mid-career managers and C-suite professionals, this broad curriculum will enable you to learn how to use data to create impactful decisions for your organization. Registering for this executive program will allow you to learn common techniques for turning data into business insights to adopt a data-driven mindset. The program comprises eight learning modules, including Probabilistic Decision Making, Testing Hypothesis, Basic Regression Models, Forecasting Machine Learning, etc. Each of these modules will provide comprehensive knowledge about data science topics to improve your skills. After finishing the program, you’ll be able to work effectively with data science and analytics teams to drive business decisions and successful outcomes for your organization.

 

Key USPs – 

– Get a brief introduction to the foundations behind data science and analytics while exploring the fundamental importance of data

– Determine the unique methods used to analyze the pros and cons of business decisions via the exploration of sampling, type I and type II errors

– Learn how to ask the right questions, and the language used to communicate with data scientist with appropriate methods to answer specific business questions

– Learn effective methods for data representation and how to interpret data more effectively by understanding the most common techniques

 

Duration: 10 weeks, 6-8 hours/week

Rating: 4.7 out of 5

You can Sign up Here

 

Review: Working with Jupyter Notebook, having access to a good online platform with a focus on real life cases and learning facilitators added a lot of value in my learning journey throughout this program. – Dmitry Karablinov

 

 

6. Post Graduate Data Science Certification Program (Purdue University)

Purdue UniversityOffered in association with Purdue University, this subjective curriculum is designed for working professionals and mid-level managers to help them gain knowledge of job-critical topics like Python, R, Machine Learning algorithms, and Natural Language Processing concepts. Enrolling in this inclusive program will allow you to learn data visualization with Tableau via an interactive learning model. The program consists of multiple learning modules focusing on specific topics like Data Science with Python, Machine Learning, Python for Data Science, etc. Besides, it also provides two additional electives, including an industry masterclass on data science. After finishing the syllabus, you’ll be well-versed in descriptive statistics, model building and fine-tuning, and ensemble learning.

 

Key USPs – 

– A detailed learning structure that will be delivered via live sessions by global practitioners, practical labs, and industry projects

– Prepared in collaboration with IBM with access to the IBM cloud lite account and real-world case studies created by industry experts

– Discover R programming for data science while learning how to write R code, utilize R data structures, and build your own functions

– Improve your job hunting with the Simplilearn Job Assist program with extensive services like resume assistance, interview preparation, and career mentoring

 

Duration: 12 months, 5-10 hours/week

Rating: 4.6 out of 5

You can Sign up Here

 

Review: The PG in Data Science with Purdue recognition is the result of one year of extensive learning, exploring, analysis & coding. – Awadhesh Pathak

 

 

7. Data Engineering with Google Cloud (Coursera)

This advanced certification program is designed to help you learn the skills that you need to improve your career in data engineering. In this program, you will get additional training to prepare you for the industry-recognized Google Cloud Professional Data Engineer certification. The program is included with a combination of presentations, demos, and labs that are designed to help you understand the core concepts more clearly. During the program, you will be able to make data-driven decisions by collecting, transforming, and publishing data, as well as you will gain real-world experience via a number of hands-on Qwiklabs projects. After finishing the program with the given project, you will earn a certificate of completion that can be shared with employers.

 

Key USPs –

– Get the opportunity to practice essential job skills, such as designing, building, and running data processing systems and operationaliz9ing machine learning models

– Learn the vital skills that you need to become a successful data engineer by covering all the major concepts with this course

– Consists of six different courses that are focused on improving your knowledge in Google Cloud platform like Big data, machine learning, etc.

– Cover various technologies that are available on Google Cloud platform for data transformation, such as BigQuery, executing Spark on Cloud Dataproc, etc.

 

Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here

 

 

8. 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 to check 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 

 

 

9. Become a Data Engineer: Mastering the Concepts (LinkedIn Learning)

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

 

 

10. 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 

 

 

11. Big Data for Data Engineers Certification (Coursera)

This course has been discontinued

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

 

 

So these were the Best Data Engineering Tutorial, Class, Course, Training & Certification available online for 2021. Hope you found what you were looking for. Wish you a Happy Learning!