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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

    • Status: Free Trial
      Free Trial
      I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      421 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Warehousing, IBM Cognos Analytics, Dashboard, Data Visualization, SQL, Linux Commands, IBM DB2, Bash (Scripting Language), Data Pipelines, Interactive Data Visualization, Apache Airflow, Extract, Transform, Load, Star Schema, Relational Databases, Shell Script, Linux, Data Transformation, Snowflake Schema, Stored Procedure, Database Design

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      Data Warehousing: Schema, ETL, Optimal Performance

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, SQL, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Database Design, Databases, Database Management, Data Analysis, Data Manipulation, Pandas (Python Package), Transaction Processing, Python Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Extract, Transform and Load Data in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Integration, Data Cleansing, Data Manipulation, Data Import/Export, Data Quality, Unstructured Data, Data Analysis, Anomaly Detection, Data Validation, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      909 reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

      Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, Linux, Unix Commands, Linux Administration, Unix, Command-Line Interface, Scripting, OS Process Management, File Systems, File Management, Automation, Network Protocols

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Extract, Transform, Load, Data Modeling, Data Pipelines, Database Design, Data Warehousing, Data Storage, Database Management, Data Management, Performance Tuning, Data Mart, Business Intelligence, Data Validation, Star Schema, SQL, Data Transformation, Data Quality, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      655 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      SQL: A Practical Introduction for Querying Databases

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      623 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Warehouse Fundamentals

      Skills you'll gain: Data Warehousing, IBM DB2, Star Schema, Snowflake Schema, Data Modeling, Database Design, Data Architecture, Data Mart, Data Quality, Data Lakes, Data Integration, Data Storage, Database Architecture and Administration, Data Storage Technologies, SQL, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      234 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Business Intelligence

      Skills you'll gain: Dashboard, Stakeholder Engagement, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Modeling, Data Pipelines, Database Design, Data Storytelling, Data Warehousing, Stakeholder Communications, Interviewing Skills, Data Visualization, Business Analysis, Data Integration, Business Process, SQL, Data Analysis, Applicant Tracking Systems, Resilience

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Snowflake Schema, Data Pipelines, Data Engineering, Database Management, Data Transformation, Data Manipulation, Data Infrastructure, Data Warehousing, DevOps, Cloud Development, GitHub, Cloud Applications, CI/CD, Data Access, Data Integration, Data Quality, Extract, Transform, Load, Large Language Modeling, Role-Based Access Control (RBAC), Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      205 reviews

      Beginner · Professional Certificate · 1 - 3 Months

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

    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • BI Foundations with SQL, ETL and Data Warehousing: IBM
    • Data Warehousing: Schema, ETL, Optimal Performance: Coursera Instructor Network
    • IBM Data Engineering: IBM
    • Databases and SQL for Data Science with Python: IBM
    • Extract, Transform and Load Data in Power BI: Microsoft
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • The Path to Insights: Data Models and Pipelines: Google
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Data Warehouse Fundamentals: 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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