ETL is an acronym for extract, transform, load. This describes a computer programming process that automatically extracts, transforms, and loads multiple forms of computer data from a variety of data sources, and then transmits them to a data storage facility or data warehouse repository. ETL was introduced half a century ago in computing circles to help computer techs better integrate and load data into large computer mainframes for computation purposes and data analysis. The ETL process was originally designed to support business intelligence needs. It is still used today, generally for smaller repositories of data, and other forms of data integration software are being used for larger volumes of data.

Why is it important to learn about ETL?

Learning about ETL can help you further your data storage knowledge, which is such a huge part of today's interconnected networks. Knowing ETL will help you understand why companies use the process to sort through their data, decide what to keep, and what to eliminate. Learning ETL can help you manage data projects more efficiently. This is especially true for anyone eager to learn about scalable data analytics processes and optimal business intelligence warehousing.

What type of careers use ETL?

The typical careers for someone who has learned ETL include data warehousing, data storage, network functionality, computer networking, systems architecture, and other similar roles within companies or agencies. Realistically, you could work in just about any data-intensive industry and find employment as an ETL developer. Many industries are moving toward big data repositories, and having the knowledge of ETL processes can be a tremendous asset for someone aspiring to find ETL work.

How can taking online courses help me learn ETL?

When you take online courses about ETL, you can learn the basics of data warehousing for business intelligence. But that's just the start. Within the wide variety of online courses about ETL, you can branch-off to pursue your interests in data warehousing, data storage, SQL database learning, visual modeling, and much more. Learning about these interconnected specialties can help you stay ahead of the big data revolution.

What are the benefits of taking an online Extract Transform Load (ETL) course?

Online Extract Transform Load (ETL) courses offer a convenient and flexible way to enhance your knowledge or learn new Extract Transform Load (ETL) skills. Choose from a wide range of Extract Transform Load (ETL) courses offered by top universities and industry leaders tailored to various skill levels.

What Extract Transform Load (ETL) courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Extract Transform Load (ETL), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Etl Courses - Learn Etl Online

Explore the ETL Course Catalog

Coursera Project Network
Exploratory Data Analysis With Python and Pandas
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis
4.5
Rating, 4.5 out of 5 stars
435 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
ETL pipelines con Python: recopila datos de Spotify
Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Processing, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Virtual Environment, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours
Microsoft
Microsoft Power BI and Power Platform for Productivity
Skills you'll gain: Extract, Transform, Load, Star Schema, Dashboard, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Power BI, Microsoft Power Automate/Flow, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Transformation, Generative AI, ChatGPT, Productivity Software
4.4
Rating, 4.4 out of 5 stars
467 reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Warehousing Capstone Project
Skills you'll gain: Data Warehousing, Extract, Transform, Load, IBM Cognos Analytics, Database Design, Data Transformation, Star Schema, Data Modeling, MySQL, Dashboard, Data Architecture, PostgreSQL, Shell Script, SQL
4.7
Rating, 4.7 out of 5 stars
17 reviews
Intermediate · Course · 1 - 3 Months
Tableau Learning Partner
Introduction to Business Analytics
Skills you'll gain: Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Data Visualization Software, Project Management, Descriptive Analytics, Predictive Analytics
4.7
Rating, 4.7 out of 5 stars
399 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, MLOps (Machine Learning Operations), Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Data Processing, Unstructured Data, Cloud Storage, Applied Machine Learning, Tensorflow, Big Data, Cloud Infrastructure, Database Development, Data Visualization, Extract, Transform, Load, Dashboard
4.4
Rating, 4.4 out of 5 stars
296 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Google Cloud
Data Engineering, Big Data and ML on Google Cloud 日本語版
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Unstructured Data, Cloud Storage, MLOps (Machine Learning Operations), Applied Machine Learning, Tensorflow, Big Data, Cloud Infrastructure, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, Data Processing
4.4
Rating, 4.4 out of 5 stars
289 reviews
Intermediate · Specialization · 3 - 6 Months
Duke University
Large Language Model Operations (LLMOps)
Skills you'll gain: Databricks, Performance Analysis, Apache Airflow, Workflow Management, Generative AI, Data Lakes, Extract, Transform, Load, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Microsoft Azure, MLOps (Machine Learning Operations), OpenAI, Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Open Source Technology, ChatGPT
4.5
Rating, 4.5 out of 5 stars
168 reviews
Beginner · Specialization · 3 - 6 Months
Tableau Learning Partner
Data Ecosystem
Skills you'll gain: Data Governance, Data Ethics, Data Warehousing, Extract, Transform, Load, Data Quality, Data Management, Tableau Software, Data Lakes, Data Architecture, Data Storage, Data Infrastructure, Databases, Business Intelligence, Data Integrity, Spreadsheet Software, Database Management
4.7
Rating, 4.7 out of 5 stars
100 reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Harnessing the Power of Data with Power BI
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Extract, Transform, Load, Data Collection, Business Intelligence, Business Analytics, Data Transformation, Microsoft Azure, Data Visualization Software, Microsoft 365
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Dashboard, Extract, Transform, Load, Cloud Infrastructure, Data Infrastructure, Cloud Storage, Data Visualization, Big Data, Tensorflow, Unstructured Data, Data Management, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop
4.6
Rating, 4.6 out of 5 stars
19K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Meta
Ingeniero en base de datos de Meta
Skills you'll gain: MySQL, MySQL Workbench, Relational Databases, Data Modeling, SQL, Database Design, Version Control, Data Warehousing, Database Management Systems, Database Theory, Unix Commands, Extract, Transform, Load, Databases, Git (Version Control System), Django (Web Framework), Algorithms, Test Driven Development (TDD), Unit Testing, Pseudocode, Database Management
4.8
Rating, 4.8 out of 5 stars
308 reviews
Beginner · Professional Certificate · 3 - 6 Months