5 Free Online Courses to Learn Data Engineering Fundamentals. Data engineering is a crucial aspect of the modern data-driven world. It involves the development and management of data infrastructure, ensuring data is accessible, reliable, and ready for analysis. For those aspiring to break into the field, there are several free online courses that provide a solid foundation in data engineering. Here, we explore five of the best free online courses to learn data engineering fundamentals.
1. Google Cloud Platform (GCP) – Data Engineering with Google Cloud Specialization
Overview
Google Cloud Platform offers a comprehensive specialization on Coursera that covers the fundamentals of data engineering using GCP tools. This course is ideal for beginners and professionals looking to enhance their skills.
Key Topics Covered
- Introduction to Data Engineering
- Building Data Pipelines
- Managing Data at Scale
- Data Processing and Analysis
- Machine Learning with Big Data
Course Structure
| Week | Module | Description |
|---|---|---|
| 1 | Foundations of GCP | Overview of Google Cloud Platform and its core services |
| 2 | Data Engineering on GCP | Basics of data engineering concepts and tools on GCP |
| 3 | Building Data Pipelines | How to create and manage data pipelines using GCP services |
| 4 | Data Warehousing | Introduction to BigQuery and data warehousing on GCP |
| 5 | Machine Learning on GCP | Basics of machine learning and how to use GCP tools for ML |
| 6 | Real-time Data Processing | Concepts of streaming data and real-time data processing on GCP |
Enrollment Link
Google Cloud Platform – Data Engineering with Google Cloud Specialization
2. IBM – Data Engineering Fundamentals
Overview
IBM’s Data Engineering Fundamentals course on edX provides a solid grounding in the basics of data engineering. It is designed for individuals who are new to the field and those looking to transition from other areas of IT.
https://blog.learnloner.com/wp-admin/post.php?post=1015&action=edit
Key Topics Covered
- Introduction to Data Engineering
- Data Integration and ETL (Extract, Transform, Load)
- Data Warehousing and Data Lakes
- Data Governance and Quality
- Big Data and Hadoop Ecosystem
Course Structure
| Week | Module | Description |
|---|---|---|
| 1 | Introduction to Data Engineering | Overview of data engineering roles and responsibilities |
| 2 | ETL and Data Integration | Concepts and tools for data extraction, transformation, and loading |
| 3 | Data Warehousing | Understanding data warehousing and its importance in data engineering |
| 4 | Data Lakes and Big Data | Introduction to data lakes and big data technologies like Hadoop |
| 5 | Data Governance and Quality | Ensuring data quality and governance in data engineering projects |
Enrollment Link
IBM – Data Engineering Fundamentals
3. Coursera – Data Engineering with Google Cloud Platform
Overview
Coursera offers a course specifically focused on data engineering using the Google Cloud Platform. This course is part of the Data Engineering on GCP specialization and provides in-depth knowledge and hands-on experience with GCP tools.5 Free Online Courses to Learn Data Engineering Fundamentals.
https://blog.learnloner.com/wp-admin/post.php?post=984&action=edit
Key Topics Covered
- Data Engineering Fundamentals
- Google Cloud Storage
- BigQuery for Data Warehousing
- Data Pipeline Orchestration with Cloud Composer
- Streaming Analytics with Dataflow
Course Structure
| Week | Module | Description |
|---|---|---|
| 1 | Introduction to Google Cloud Platform | Overview of GCP and its data engineering services |
| 2 | Storage and Data Management | How to use Google Cloud Storage for data management |
| 3 | Data Warehousing with BigQuery | Detailed exploration of BigQuery for data warehousing |
| 4 | Data Pipeline Orchestration | Using Cloud Composer for orchestrating data pipelines |
| 5 | Streaming Data Analytics | Real-time data processing with Google Dataflow |
Enrollment Link
Coursera – Data Engineering with Google Cloud Platform
4. Microsoft – Data Engineering on Microsoft Azure
Overview
Microsoft offers a free course on edX that covers the essentials of data engineering on the Azure platform. This course is part of the Microsoft Professional Program in Data Science and is perfect for those looking to leverage Azure for data engineering tasks.5 Free Online Courses to Learn Data Engineering Fundamentals
Key Topics Covered
- Azure Data Services Overview
- Data Storage and Management
- Data Integration and Transformation
- Building Data Pipelines with Azure Data Factory
- Big Data Solutions on Azure
Course Structure
| Week | Module | Description |
|---|---|---|
| 1 | Introduction to Azure Data Services | Overview of data services available on Azure |
| 2 | Data Storage on Azure | Using Azure Storage, SQL Database, and Cosmos DB for data management |
| 3 | Data Integration with Data Factory | Building and managing data pipelines using Azure Data Factory |
| 4 | Big Data Solutions | Implementing big data solutions with Azure HDInsight and Databricks |
| 5 | Real-time Data Processing | Streaming data solutions using Azure Stream Analytics |
Enrollment Link
Microsoft – Data Engineering on Microsoft Azure
5. DataCamp – Data Engineering for Everyone
Overview
DataCamp offers a beginner-friendly course that introduces the core concepts of data engineering. This course is designed for individuals with no prior experience and provides a broad overview of the field.
https://blog.learnloner.com/wp-admin/post.php?post=946&action=edit
Key Topics Covered
- Introduction to Data Engineering
- Data Processing and Pipelines
- Data Storage Solutions
- ETL Processes
- Data Engineering Tools and Technologies
Course Structure
| Chapter | Module | Description |
|---|---|---|
| 1 | Introduction to Data Engineering | Overview of data engineering and its importance |
| 2 | Data Processing | Basics of data processing and building data pipelines |
| 3 | Data Storage | Understanding different data storage solutions |
| 4 | ETL Processes | Concepts and tools for ETL processes |
| 5 | Tools and Technologies | Overview of popular data engineering tools and technologies |
Enrollment Link
DataCamp – Data Engineering for Everyone
Conclusion
Learning data engineering fundamentals is crucial for anyone looking to enter the data engineering field or enhance their existing skills. These five free online courses offer comprehensive coverage of the essential topics and provide practical experience with leading data engineering tools and platforms. Whether you are a beginner or an experienced professional, these courses will help you build a solid foundation in data engineering.
By taking advantage of these resources, you can gain the knowledge and skills needed to succeed in the rapidly growing field of data engineering. Enroll in these courses today and take the first step towards becoming a proficient data engineer.
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?