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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

      Corporate Finance Institute

      Advanced Tableau - Data Model

      Skills you'll gain: Star Schema, Data Modeling, Extract, Transform, Load, Performance Tuning, Tableau Software, Database Design, Data Manipulation, Data Integration

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Data Pipelines with TensorFlow Data Services

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      531 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      Duke University

      Managing Big Data with MySQL

      Skills you'll gain: Database Design, MySQL, Relational Databases, SQL, Data Modeling, Databases, Business Analytics, Big Data, Business Analysis, Data Analysis, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Python: de usuario a explorador de datos

      Skills you'll gain: Matplotlib, Extract, Transform, Load, Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Package and Software Management, Graphing, Data Analysis, Data Processing, Data Import/Export, Python Programming, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Relational Database Support for Data Warehouses

      Skills you'll gain: Data Warehousing, SQL, Data Governance, Data Integration, Data Management, Business Intelligence, Oracle Databases, Analytics, PostgreSQL, Data Mining, Big Data, Relational Databases, Database Management Systems, Business Analytics, Data Storage Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      591 reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Extract, Transform, Load, IBM DB2, Data Management, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Competitive Analysis, Supply Chain, Supply Chain Management, Transportation, Supply Chain, and Logistics, Supply Chain Planning, Market Intelligence, Inventory and Warehousing, Analytics, Financial Analysis, Inventory Management System, Customer Insights, Data Analysis, Order Fulfillment, Data-Driven Decision-Making, Cost Reduction, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      799 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Warehousing, Database Design, Data Integration, Extract, Transform, Load, Data Modeling, Star Schema, Relational Databases, Snowflake Schema, Data Architecture, Business Intelligence, SQL, Pivot Tables And Charts, PostgreSQL, MySQL, Data Transformation, Data Quality, Oracle Cloud

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

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      E

      Edureka

      MySQL for Data Analytics and Business Intelligence

      Skills you'll gain: MySQL, Relational Databases, Database Management, SQL, Business Intelligence, Role-Based Access Control (RBAC), Business Analytics, Data Security, Data Manipulation, Performance Tuning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      Universidad Nacional Autónoma de México

      Business intelligence and data warehousing

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Business Intelligence, Data Mining, Big Data, Predictive Analytics, Analytics, Data Modeling, MySQL, Business Analytics, Apache Hadoop, Data Integration, Star Schema, Unstructured Data, Database Design, SQL, Data Transformation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      100 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of California, Irvine

      The Nature of Data and Relational Database Design

      Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Systems, SQL, Descriptive Statistics, Statistics, Business Intelligence, Data Analysis, Microsoft Excel, Extract, Transform, Load, Business Analytics, Data Manipulation, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Advanced Tableau - Data Model: Corporate Finance Institute
    • Data Pipelines with TensorFlow Data Services: DeepLearning.AI
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • Managing Big Data with MySQL: Duke University
    • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
    • Relational Database Support for Data Warehouses: University of Colorado System
    • IBM Data Management: IBM
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • MySQL for Data Analytics and Business Intelligence: Edureka

    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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