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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

    • Status: New
      New
      W

      Whizlabs

      Exam Prep DP-600: Microsoft Fabric Analytics Engineer

      Skills you'll gain: Power BI, Microsoft Azure, Data Lakes, Data Analysis Expressions (DAX), Azure Synapse Analytics, Data Modeling, Data Governance, Data Warehousing, Microsoft SQL Servers, Data Analysis, Extract, Transform, Load, Data Import/Export, Data Integration, Real Time Data, Data Transformation, Data Management, Data Architecture, Data Pipelines, Role-Based Access Control (RBAC), Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create Mapping Data Flows in Azure Data Factory

      Skills you'll gain: Data Mapping, Microsoft Azure, Data Transformation, Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Data Integration, Data Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Analytical Solutions to Common Healthcare Problems

      Skills you'll gain: Data Dictionary, Health Informatics, Extract, Transform, Load, Analytics, Data Integration, Data Analysis, Health Care, Data Mining, Data Transformation, Risk Analysis, Data Quality, Anomaly Detection, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      32 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud en Français

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Looker (Software), Data Lakes, Data Warehousing, Unstructured Data, Big Data, Cloud Infrastructure, Data Infrastructure, Dashboard, Data Architecture, Extract, Transform, Load, Tensorflow, Cloud Storage, MLOps (Machine Learning Operations), Data Processing, Applied Machine Learning, Jupyter

      4.4
      Rating, 4.4 out of 5 stars
      ·
      58 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Modeling and Architecture

      Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load, Data Cleansing

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Vector Search with Relational Databases using PostgreSQL

      Skills you'll gain: PostgreSQL, Relational Databases, SQL, Database Management Systems, Node.JS, Database Management, Data Import/Export, Data Processing, Extract, Transform, Load

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Interactive Data Visualization, Data Integration, Market Analysis, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Advanced · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Introducción a Azure Data Factory para Big Data

      Skills you'll gain: Data Pipelines, Big Data, Data Lakes, Microsoft Azure, Data Processing, Data Integration, Cloud Management, Cloud Services

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exploratory Data Analysis in AWS

      Skills you'll gain: AWS Kinesis, Amazon Redshift, Data Analysis, Real Time Data, Applied Machine Learning, Data Processing, Extract, Transform, Load, Exploratory Data Analysis, Amazon S3, Data Sharing, Data Visualization Software, Data Transformation

      Beginner · Course · 1 - 4 Weeks

    • A

      Alibaba Cloud Academy

      Big Data Analysis Deep Dive

      Skills you'll gain: Dashboard, Big Data, Data Processing, Data Visualization Software, Apache Hive, Apache Spark, Apache Hadoop, Pandas (Python Package), Data Manipulation, SQL, Extract, Transform, Load, PySpark, Business Intelligence, Data Integration, Database Management, Cloud Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Mastering Azure Databricks for Data Engineers

      Skills you'll gain: Databricks, CI/CD, Real Time Data, Data Governance, Apache Spark, Microsoft Azure, Data Lakes, Continuous Integration, Data Architecture, Continuous Deployment, Data Management, Big Data, Integration Testing, Automation, Data Infrastructure, Data Pipelines, Data Security, Command-Line Interface, Data Processing, Software Design

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      AWS Glue Getting Started

      Skills you'll gain: Amazon Web Services, Data Processing, Amazon S3, Data Cleansing, Extract, Transform, Load, Data Architecture, Data Pipelines, Data Integration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Exam Prep DP-600: Microsoft Fabric Analytics Engineer: Whizlabs
    • Create Mapping Data Flows in Azure Data Factory: Coursera Project Network
    • Analytical Solutions to Common Healthcare Problems: University of California, Davis
    • Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
    • Data Modeling and Architecture: Microsoft
    • Vector Search with Relational Databases using PostgreSQL: SkillUp EdTech
    • Advanced Tableau: Corporate Finance Institute
    • Introducción a Azure Data Factory para Big Data: Coursera Project Network
    • Exploratory Data Analysis in AWS: Whizlabs
    • Big Data Analysis Deep Dive: Alibaba Cloud Academy

    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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