Top Data Engineering Courses from the Most Popular Edutech Platforms
If you’re looking to embark on a career in data engineering or enhance your skills in this field, there are several top-notch courses available on popular edutech platforms like Coursera, Udemy, and edX. These courses are designed to provide you with the knowledge and practical skills needed to excel in the field of data engineering.
According to Harvard Business Review, the role of professionals specialized in data is essential in large, small, and medium-sized companies. To succeed in the field of data engineering, you need to learn the essentials of business and the basic and advanced concepts of data science, business, statistics, mathematics, and computer science. It is good to pick online data engineering courses from top online course providers like Coursera, Udemy, edX, etc. Here, we have listed some of the top data engineering courses from these platforms to help you gain a competitive advantage in your career.
Must Read – What is Data Engineering?
These data engineering courses address different topics but are fundamental for data engineers to learn and develop the necessary skills. With them, you can go from knowing nothing about data engineering, data science, or data infrastructure to being able to implement complete solutions that include all the necessary components.
Major Topics Covered in Data Engineering Courses
- Dataflow
- Machine Learning
- Dataprep
- BigTable
- Apache Hadoop ecosystem
- Natural Language API
- Data Normalization
- Data Modeling
- Data Cleaning
- Data Accessibility
- BigQuery
Must Read – Difference between Data Science and Data Engineering: Responsibilities, Tools, and Skill
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Top Data Engineering Courses
Below are some of the top data engineering courses from the best online learning platforms –
1. IIT Jodhpur Post Graduate Diploma in Data Engineering & Cloud Computing by IIT Jodhpur
Course Description
Post Graduate Diploma in Data Engineering & Cloud Computing by IIT Jodhpur will help you learn the key technologies to generate data insights. You can manage the complete lifecycle of a data engineering project with this course.
Course Details
Duration – 12 Months
Skill Level – Advanced
Eligibility –
- Bachelor’s degree in engineering or science (4-year program)/Master’s degree in science/MCA/Equivalent
- A minimum of 50% marks in UG/PG or a minimum CGPA of 5.0 on a scale of 10/Equivalent
- Minimum of 2 years of work experience (after qualifying degree)
Course Contents
- Module 1: SEMESTER I: Linear Algebra for Big Data
- Module 2: SEMESTER I: Statistics for Data Engineering
- Module 3: SEMESTER I: Python Programming for Data Engineering
- Module 4: SEMESTER I: Databases and SQL Programming
- Module 5: SEMESTER I: Fundamentals of Cloud Computing
- Module 6: SEMESTER I: Big Data Systems and Platforms
- Module 7: SEMESTER II: Big Data Retrieval and Integration
- Module 9: SEMESTER II: Big Data Management
- Module 10: SEMESTER II: Machine Learning with Big Data
- Module 11: SEMESTER II: Fundamentals of Distributed Systems
- Module 12: Mini Project
- Module 13: Electives/Specialization
2. Data Engineering Foundations Specialization on Coursera
Course Description
Data Engineering Foundations Specialization comprises 5 online courses covering data engineering ecosystem and lifecycle, Python, SQL, and Relational Databases. These courses include engaging videos and hands-on practice using real tools and real-world databases.
Course Details
Duration – 5 Months
Skill Level – Beginner
Course Contents
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Introduction to Relational Databases (RDBMS)
- Databases and SQL for Data Science with Python
Course Link
Also Read – Top Data Engineer Interview Questions and Answers
3. Data Engineering Professional Certificate by IBM on Coursera
Course Description
Data Engineering Professional Certificate can be helpful for entry-level data engineer positions. The course will give you hands-on training on the tools, databases, and concepts of data engineering design, deployment, and managing structured and unstructured data.
Course Details
Duration – 5 Months
Skill Level – Beginner
Course Contents
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Introduction to Relational Databases (RDBMS)
- Databases and SQL for Data Science with Python
- Introduction to NoSQL Databases
- Introduction to Big Data with Spark and Hadoop
- Data Engineering and Machine Learning using Spark
- Hands-on Introduction to Linux Commands and Shell Scripting
- Relational Database Administration (DBA)
- ETL and Data Pipelines with Shell, Airflow, and Kafka
- Getting Started with Data Warehousing and BI Analytics
- Course 13 – Data Engineering Capstone Project
4. Microsoft Azure for Data Engineering on Coursera
Course Description
Microsoft Azure for Data Engineering is a specialized course that prepares you for Microsoft Certified: Azure Data Engineer Associate certification. This course will help you gain expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services.
Course Details
Duration – 6 Hours
Skill Level – Intermediate
Course Contents
- The evolving world of data and the data engineer
- Services on the Microsoft Azure Data platform
- Practice Exam on Store Data in Microsoft Azure
5. IBM Professional Certificate in Data Engineering Fundamentals on edX
Course Description
It is a six-course professional certification from IBM that covers the data engineering ecosystem, data integration pipelines, data repositories, Business Intelligence, and Reporting tools. You will learn about the concepts of data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores.
Course Details
Duration – 4 Months
Skill Level – Intermediate
Course Contents
- Data Engineering Basics for Everyone
- Python Basics for Data Science
- Python for Data Engineering Project
- Relational Database Basics
- SQL for Data Science
- SQL Concepts for Data Engineers
6. Data Engineering, Big Data, and Machine Learning on GCP Specialization on Coursera
Course Description
Data Engineering, Big Data, and Machine Learning on GCP Specialization help you learn the skills to crack the industry-recognized Google Cloud Professional Data Engineer certification exam.
Course Details
Duration – 3 Months
Skill Level – Intermediate
Course Contents
- Course 1 – Google Cloud Big Data and Machine Learning Fundamentals
- Course 2 – Modernizing Data Lakes and Data Warehouses with GCP
- Course 3 – Building Batch Data Pipelines on GCP
- Course 4 – Building Resilient Streaming Analytics Systems on GCP
- Course 5 – Smart Analytics, Machine Learning, and AI on GCP
Also read: Machine Learning Online Courses & Certifications
7. Professional Certificate in Data Engineering Fundamentals by IBM on edX
Course Description
In the Professional Certificate in Data Engineering Fundamentals, you will learn the core principles of the data engineering ecosystem, data integration pipelines, data repositories, business intelligence, and reporting tools. The course further explores the concepts of data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, big data stores etc.
Course Details
Duration – 5 Months
Skill Level – Intermediate
Course Contents
- Course 1 – Data Engineering Basics for Everyone
- Course 2 – Python Basics for Data Science
- Course 3 – Python for Data Engineering Project
- Course 4 – Relational Database Basics
- Course 5 – SQL for Data Science
- Course 6 – SQL Concepts for Data Engineers
8. Data Engineering Essentials Hands-on – SQL, Python and Spark on Udemy
Course Description
The Data Engineering Essentials Hands-on – SQL, Python, and Spark course covers the key data engineering concepts, including SQL, Programming using Python and Spark.
Course Details
Duration – 46 Hours
Skill Level – Expert
Course Contents
- Data Engineering Labs – Python and SQL
- Database Essentials – SQL using Postgres
- Programming Essentials using Python
- Setting up Single Node Data Engineering Cluster for Practice
- Master required Hadoop Skills to build Data Engineering Applications
- Data Engineering using Spark SQL
- Getting Started with Spark SQL
- Data Engineering using Spark Data Frame APIs
- Basic Transformations – Filtering, Aggregations, and Sorting
Also read: Ms Sql Online Courses & Certifications
Also read: Data Engineering Online Courses & Certifications
9. Cloud Data Engineering on Coursera
Course Description
Cloud Data Engineering is a perfect course for beginners and intermediate students looking forward to using cloud computing techniques in data science, machine learning, and data engineering. The course mainly helps you develop Data Engineering applications and use software development best practices to create easy and complex data engineering applications.
Course Details
Duration – 4 Weeks
Skill Level – Intermediate
Course Contents
- Getting Started with Cloud Data Engineering
- Examining Principles of Data Engineering
- Building Data Engineering Pipelines
- Applying Key Data Engineering Tasks
10. SQL Concepts for Data Engineers on edX
Course Description
SQL Concepts for Data Engineers is a course specially designed for Data Engineers. It covers the additional SQL techniques like creating and using views to simplify and control access to underlying tables, writing and running stored procedures, and using various types of joins to retrieve related data from multiple tables accurately.
Course Details
Duration – 1 Week
Skill Level – Intermediate
Course Contents
Module 1 – Additional SQL
- Using Views
- Stored Procedures
- Transactions
- JOINs
11. Python for Data Engineering Project on edX
Course Description
The Python for Data Engineering Project by IBM focuses on giving the course takers a concrete understanding of data engineering. You will learn –
- Web scraping and data extraction using APIs Transforming data into specific data types
- Logging operations and preparing data for loading
- Working with Jupyter Notebooks and IBM Watson Studio
Course Details
Duration – 1 Week
Skill Level – Intermediate
Course Contents
- Collect data using APIs and Web scraping
- Extract data from different file formats
- Transform data and prepare for loading
- Log data operations
- Share your Jupyter notebook in Watson Studio
- Submit work and review your peers
12. Microsoft Azure Databricks for Data Engineering on Coursera
Course Description
The course is a part of the Microsoft Azure Data Engineering Associate DP-203 Exam Prep Specialization. It will help you use Apache Spark and powerful clusters on the Azure Databricks platform to run large data engineering workloads in the cloud.
Course Details
Duration – 9 Weeks
Skill Level – Intermediate
Course Contents
- Introduction to Azure Databricks
- Read and write data in Azure Databricks
- Data processing in Azure Databricks
- Work with DataFrames in Azure Databricks
- Platform architecture, security, and data protection in Azure Databricks
- Delta Lake
- Analyze streaming data and create production workloads
- Create a data architecture
- Practice Exam on Data engineering with Azure Databricks
Conclusion
These data engineering courses can give you a solid ground to start with. You can later start implementing your knowledge in data engineering projects and get real experience. The job market for skilled data engineers and data scientists is at an all-time high, and it can be a good idea to learn data engineering and pave the way for a successful career in the long run.
Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio
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