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    • Etl

    ETL Courses Online

    Master ETL (Extract, Transform, Load) processes for data integration. Learn to design and implement ETL workflows for data warehouses.

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    Explore the ETL Course Catalog

    • IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, IBM DB2, Data Visualization, Relational Databases, Dashboard, Stored Procedure, Data Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Unit Testing, Algorithms, Django (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free

      Coursera Instructor Network

      Engineering Data Ecosystems: Pipelines, ETL, Spark

      Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Infrastructure, Data Processing, Data Warehousing, Data Management, Data Architecture

      Beginner · Course · 1 - 4 Weeks

    • Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Applied Machine Learning, Apache Spark

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Project · Less Than 2 Hours

    • IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Databases, Application Programming Interface (API), Code Review, Python Programming, Unit Testing, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Cloud Services, Cloud Computing, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • IBM

      Introduction to Data Engineering

      Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, Data Mart, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Advanced · Specialization · 3 - 6 Months

    • CertNexus

      Extract, Transform, and Load Data

      Skills you'll gain: Extract, Transform, Load, Data Migration, Data Manipulation, Data Cleansing, Data Processing, Data Transformation, Data Warehousing, Data Integration, Data Collection, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Amazon Web Services

      Data Analytics and Databases on AWS

      Skills you'll gain: Extract, Transform, Load, Data-Driven Decision-Making, Amazon Web Services, Data Warehousing, Big Data, Databases, Business Analytics, NoSQL, Data Analysis, Unstructured Data, Data Processing, SQL, Relational Databases, Data Visualization Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular etl courses

    • IBM Data Warehouse Engineer: IBM
    • Meta Database Engineer: Meta
    • Microsoft Data Visualization: Microsoft
    • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera Instructor Network
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Python Project for Data Engineering: IBM
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • Introduction to Data Engineering: IBM
    • Data Warehousing for Business Intelligence: University of Colorado System

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Etl

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    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.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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