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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

    • S

      Starweaver

      Build a Data Warehouse Using BigQuery

      Skills you'll gain: Extract, Transform, Load, Data Warehousing, Data Governance, Data Infrastructure, Business Intelligence, SQL, Data Architecture, Data Management, Data Transformation, Database Management, Pandas (Python Package), Data Security, Google Cloud Platform

      Advanced · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx for Beginners

      Skills you'll gain: Alteryx, Spatial Data Analysis, Spatial Analysis, Data Transformation, Data Cleansing, Data Import/Export, Data Presentation, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Visualization Software, Data Mapping, Data Analysis, Data Integration, Text Mining, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 3 - 6 Months

    • G

      Google Cloud

      Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

      Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Database Administration, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Data Engineering

      Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, Rust (Programming Language), Unix Commands

      4.1
      Rating, 4.1 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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 Import/Export, Python Programming, Data Manipulation

      Beginner · Course · 1 - 3 Months

    • U

      Universitat Autònoma de Barcelona

      Co-creation and challenge-based learning in Higher Education

      Skills you'll gain: Student-Centred Learning, Entrepreneurship, Problem Solving, Lifelong Learning, Higher Education, Creative Thinking, Innovation, Professional Development, Self-Starter, Adaptability, Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Transformation in the Cloud

      Skills you'll gain: Data Pipelines, Data Cleansing, Data Governance, Data Transformation, Cloud Security, Data Visualization, Extract, Transform, Load, Data Integration, Data Processing, Data Management, Data Migration, Data Collection, Cloud Computing, Cloud Storage, Data Analysis, SQL

      4.5
      Rating, 4.5 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Build a Data Warehouse in AWS

      Skills you'll gain: Amazon Redshift, Extract, Transform, Load, Amazon Web Services, Data Warehousing, Amazon S3, AWS Identity and Access Management (IAM), Data Storage, Performance Tuning, Amazon Elastic Compute Cloud, Cloud Security, Database Management, Cloud Computing, SQL

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Data Warehousing, Data Integration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Batch Data Pipelines on GCP 日本語版

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Data Transformation, Big Data, Apache Spark, Apache Hadoop, Cloud Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data I/O and Preprocessing with Python and SQL

      Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Validation, Data Processing, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Building Batch Data Pipelines on GCP en Español

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Extract, Transform, Load, Data Processing, Apache Hive, Data Integration, Apache Spark, PySpark, Serverless Computing, Apache Hadoop, Big Data, Data Migration, Data Transformation, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Build a Data Warehouse Using BigQuery: Starweaver
    • Alteryx for Beginners: Packt
    • Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors: Google Cloud
    • Cloud Data Engineering: Duke University
    • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
    • Co-creation and challenge-based learning in Higher Education: Universitat Autònoma de Barcelona
    • Data Transformation in the Cloud: Google Cloud
    • Build a Data Warehouse in AWS: Edureka
    • Creating a Data Warehouse Through Joins and Unions: Google Cloud
    • Building Batch Data Pipelines on GCP 日本語版: Google Cloud

    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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