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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

    • 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

    • 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

    • C

      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
      ·
      429 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Cloud Services, Cloud Computing, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • 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

    • C

      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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      G

      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
      M

      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

    • Placeholder
      C

      Coursera Project Network

      ETL pipelines con Python: recopila datos de Spotify

      Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Virtual Environment, Application Programming Interface (API)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      IBM

      Data Warehousing Capstone Project

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, IBM Cognos Analytics, Database Design, Data Transformation, Star Schema, Data Modeling, MySQL, Dashboard, Data Architecture, PostgreSQL, Shell Script, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Database Development, Unit Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      L

      L&T EduTech

      AI & ML Applications in Oil and Gas Industry

      Skills you'll gain: Big Data, Data Mining, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Image Analysis, Process Analysis, Production Process, Machine Learning, Python Programming, Natural Resource Management

      5
      Rating, 5 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Database Design and Operational Business Intelligence: University of California, Irvine
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • Supply Chain Logistics: Rutgers the State University of New Jersey
    • Data Management with Databricks: Big Data with Delta Lakes: Coursera Project Network
    • Building Batch Data Pipelines on Google Cloud: Google Cloud
    • Data Extract, Transform, and Load in Power BI: Microsoft
    • ETL pipelines con Python: recopila datos de Spotify: Coursera Project Network
    • Data Warehousing Capstone Project: 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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