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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
      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

    • G

      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

    • I

      IBM

      SQL: A Practical Introduction for Querying Databases

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      515 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Management, Descriptive Statistics, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      865 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • E

      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

    • I

      IBM

      Business Intelligence (BI) Essentials

      Skills you'll gain: Business Intelligence, Data-Driven Decision-Making, Data Mining, Business Analytics, Data Analysis, Data Storytelling, Data Management, Data Warehousing, Data Wrangling, Extract, Transform, Load, Statistical Analysis, Business Analysis, Data Visualization Software, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      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
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Data Warehouse Fundamentals

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality

      4.4
      Rating, 4.4 out of 5 stars
      ·
      217 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      A

      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
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      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
      ·
      738 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Data Warehousing for Business Intelligence

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

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

      Advanced · Specialization · 3 - 6 Months

    • Placeholder
      R

      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

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

    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • ETL Processing on Google Cloud Using Dataflow and BigQuery: Google Cloud
    • SQL: A Practical Introduction for Querying Databases: IBM
    • Tableau Business Intelligence Analyst: Tableau Learning Partner
    • Data Integration and ETL with Talend: Edureka
    • Business Intelligence (BI) Essentials: IBM
    • Introduction to Data Engineering: IBM
    • Data Warehouse Fundamentals: IBM
    • Data Analytics and Databases on AWS: Amazon Web Services
    • Python Project for Data Engineering: 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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