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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

    • 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

    • 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

    • 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

    • 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

    • 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 Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      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
      ·
      863 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      M

      Microsoft

      Microsoft Power BI and Power Platform for Productivity

      Skills you'll gain: Extract, Transform, Load, Star Schema, Dashboard, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Power BI, Microsoft Power Automate/Flow, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Data Presentation, Data Visualization Software, Data Transformation, Data Modeling, Generative AI, ChatGPT, Productivity Software

      4.4
      Rating, 4.4 out of 5 stars
      ·
      414 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      T

      Tableau Learning Partner

      Introduction to Business Analytics

      Skills you'll gain: Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Data Visualization Software, Project Management, Descriptive Analytics, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      374 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Data Warehouse Fundamentals: IBM
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • Exploratory Data Analysis With Python and Pandas: Coursera Project Network
    • 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 Engineering Foundations: IBM
    • Tableau Business Intelligence Analyst: Tableau Learning Partner

    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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