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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

    • I

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, Unix Shell, IBM DB2, Business Intelligence, MySQL, Relational Databases, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Web Scraping, Data Integration, Shell Script, Real Time Data, Data Mart, Unix Shell, Big Data, Performance Tuning, Databases, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      407 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Warehousing: Schema, ETL, Optimal Performance

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Business Intelligence, Data Modeling, Data Management, Data Integration, Performance Tuning, Databases, Data Migration, Data Transformation, Scalability

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Extract, Transform and Load Data in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Integrity, Data Validation, Data Transformation, Data Cleansing, Microsoft Power Platform, Data Storage, Data Analysis, Data Integration, Data Import/Export, Business Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      824 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      SQL: A Practical Introduction for Querying Databases

      Skills you'll gain: SQL, Stored Procedure, Relational Databases, MySQL, Query Languages, Database Management, Databases, Cloud Management, Database Management Systems, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      569 reviews

      Beginner · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Microsoft Power Platform, Data Integrity, Spreadsheet Software, Data Validation, Data Transformation, Data Cleansing, Data Visualization

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      C

      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

    • I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, MySQL, Relational Databases, Databases, Stored Procedure, Database Management, Database Design, Query Languages, Data Manipulation, Jupyter, Data Analysis, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • I

      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

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Infrastructure, Data Lakes, Data Architecture, Apache Spark, Data Integration, Data Processing, SQL Server Integration Services (SSIS), Data Management

      Intermediate · Course · 1 - 4 Weeks

    • I

      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
      ·
      759 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • IBM Data Engineering: IBM
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • Data Warehousing: Schema, ETL, Optimal Performance: Coursera Instructor Network
    • Extract, Transform and Load Data in Power BI: Microsoft
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Microsoft Power BI Data Analyst: Microsoft
    • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera Instructor Network
    • Databases and SQL for Data Science with Python: IBM
    • IBM Data Warehouse Engineer: IBM

    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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