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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: 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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Python for Data Visualization and Analysis

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Seaborn, Statistical Visualization, Interactive Data Visualization, Plotly, Dashboard, Scatter Plots, Data Analysis, Pandas (Python Package), Histogram, Box Plots, Jupyter, NumPy, Web Applications

      Intermediate · 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: Free Trial
      Free Trial
      M

      Microsoft

      Data Preparation and Management

      Skills you'll gain: Extract, Transform, Load, Data Cleansing, Power BI, Data Transformation, Data Management, Data Quality, Data Wrangling, Data Processing, Data Validation, Data Integration, Data Modeling, Data Import/Export, Data Storage

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      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

    • G

      Google Cloud

      Exploring Dataset Metadata Between Projects with Data Catalog

      Skills you'll gain: Data Management, Cloud Computing, Metadata Management, Data Lakes, Google Cloud Platform, Big Data, Personally Identifiable Information

      Beginner · Project · Less Than 2 Hours

    • L

      LearnQuest

      Data Processing with Azure

      Skills you'll gain: Microsoft Azure, Big Data, Data Processing, Analytics, Data Pipelines, Databricks, Apache Spark, PySpark, Data Analysis, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Transformation, Scheduling, Data Storage

      3.7
      Rating, 3.7 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Building Batch Pipelines in Cloud Data Fusion

      Skills you'll gain: Data Wrangling, Data Transformation, Data Pipelines, Extract, Transform, Load, Cloud Engineering, Google Cloud Platform, Data Integration, Cloud Development, Cloud-Based Integration

      Beginner · Project · Less Than 2 Hours

    • T

      Talend

      Talend Data Integration Certification Preparation training

      Skills you'll gain: Metadata Management, Data Manipulation, Data Integration, Extract, Transform, Load, Database Management Systems, Data Transformation, Data Warehousing, Data Pipelines, Data Validation, Version Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud em Português

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Dataflow, Data Lakes, Extract, Transform, Load, Real Time Data, Data Warehousing, Tensorflow, Cloud Infrastructure, Cloud Engineering, Data Processing, Data Infrastructure, MLOps (Machine Learning Operations), Cloud Storage, Big Data, Data Integration, Cloud Solutions, Data Transformation, Data Architecture, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
    • Python for Data Visualization and Analysis: Edureka
    • 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
    • Data Preparation and Management: Microsoft
    • Building Batch Data Pipelines on GCP en Español: Google Cloud
    • Exploring Dataset Metadata Between Projects with Data Catalog: Google Cloud
    • Data Processing with Azure: LearnQuest
    • Building Batch Pipelines in Cloud Data Fusion: 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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