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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

    • C

      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

    • 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

    • 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, Data Integration, Oracle Databases, Extract, Transform, Load, Data Visualization Software

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

      Advanced · Specialization · 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

    • 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

    • 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
      ·
      252 reviews

      Beginner · Course · 1 - 3 Months

    • 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 California, Irvine

      Database Design and Operational Business Intelligence

      Skills you'll gain: Extract, Transform, Load, Decision Support Systems, Data Warehousing, Data Mining, Database Design, Business Intelligence, Dashboard, Star Schema, Relational Databases, Database Management, Data Visualization Software, Snowflake Schema, Database Systems, Business Reporting, SAS (Software), Data Modeling, Interactive Data Visualization, SQL, Descriptive Statistics, Data Storytelling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      217 reviews

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      M

      Meta

      Advanced Data Modeling

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      99 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

      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
      ·
      512 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      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

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

    • Extract, Transform, and Load Data: CertNexus
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Data Integration and ETL with Talend: Edureka
    • Data Analytics and Databases on AWS: Amazon Web Services
    • Business Intelligence (BI) Essentials: IBM
    • Python Project for Data Engineering: IBM
    • Database Design and Operational Business Intelligence: University of California, Irvine
    • Advanced Data Modeling: Meta
    • Introduction to 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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