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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

    • Placeholder

      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

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, NoSQL, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling, Software Technical Review

      4.7
      Rating, 4.7 out of 5 stars
      ·
      119 reviews

      Advanced · Course · 1 - 3 Months

    • IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Meta

      Advanced Data Modeling

      Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Star Schema, Database Management, Database Architecture and Administration, Tableau Software, Business Analytics, Analytics, SQL, Data Analysis, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Edureka

      Data Integration and ETL with Talend

      Skills you'll gain: Extract, Transform, Load, Data Integration, File Management, Data Mapping, Data Management, Data Transformation, Database Management, Data Processing, Data Pipelines, Metadata Management, Data Manipulation, Data Quality

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      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

    • Placeholder

      Google Cloud

      Building Batch Data Pipelines on Google Cloud

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Processing, Apache Hadoop, Apache Spark, Big Data, Data Transformation, Cloud Computing, Cloud Services

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder

      Rutgers the State University of New Jersey

      Supply Chain Logistics

      Skills you'll gain: Warehouse Management, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics, Warehouse Operations, Logistics, Transportation Operations, General Shipping and Receiving, Supply Chain Management, Supply Chain, Customer Service, Cost Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder

      Snowflake

      Intro to Snowflake for Devs, Data Scientists, Data Engineers

      Skills you'll gain: Data Manipulation, Data Warehousing, SQL, Data Pipelines, Cloud Applications, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Databases, Stored Procedure, Cloud Services, Database Management, Generative AI, Data Integration, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder

      Coursera Project Network

      Data Management with Databricks: Big Data with Delta Lakes

      Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Extract, Transform, Load, Dashboard, PySpark, SQL, Pandas (Python Package), Big Data, Data Management, Data Transformation, Data Integrity, Version Control

      4.2
      Rating, 4.2 out of 5 stars
      ·
      25 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder

      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
      ·
      434 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder

      Microsoft

      Data Extract, Transform, and Load in Power BI

      Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Warehousing, Data Integration, Data Analysis Expressions (DAX), Data Validation, Data Import/Export, Data Quality

      Beginner · Course · 1 - 4 Weeks

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

    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • Data Engineering Capstone Project: IBM
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • Advanced Data Modeling: Meta
    • Data Integration and ETL with Talend: Edureka
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • Building Batch Data Pipelines on Google Cloud: Google Cloud
    • Supply Chain Logistics: Rutgers the State University of New Jersey
    • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
    • Data Management with Databricks: Big Data with Delta Lakes: Coursera Project Network

    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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