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    • Data Integration

    Data Integration Courses Online

    Learn data integration techniques for combining data from multiple sources. Understand how to create unified datasets for analysis and reporting.

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    Explore the Data Integration Course Catalog

    • 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

    • U

      University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      Talend

      Talend Data Integration Certification Preparation training

      Skills you'll gain: Metadata Management, Data Manipulation, Data Integration, Application Deployment, Extract, Transform, Load, Data Transformation, Data Warehousing, Data Pipelines, Databases, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      67 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SkillUp EdTech

      Data Integration, Data Storage, & Data Migration

      Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Data Security, Data Pipelines, Disaster Recovery

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, Data Mart, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Database Design, Data Mart, Star Schema, Real Time Data, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      626 reviews

      Advanced · Course · 1 - 4 Weeks

    • Placeholder
      Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), Analytics, Stakeholder Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      166K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Warehousing, Data Storytelling, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Google Sheets, Data Entry, Data Manipulation, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.4K reviews

      Beginner · Course · 1 - 3 Months

    Data Integration learners also search

    Data Engineering
    Big Data
    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    Python Data Science
    Advanced Big Data
    Data Architecture
    1234…620

    In summary, here are 10 of our most popular data integration courses

    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Big Data Integration and Processing: University of California San Diego
    • IBM Data Engineering: IBM
    • Talend Data Integration Certification Preparation training: Talend
    • Data Integration, Data Storage, & Data Migration: SkillUp EdTech
    • Introduction to Data Engineering: IBM
    • Data Modeling, Transformation, and Serving: DeepLearning.AI
    • The Path to Insights: Data Models and Pipelines: Google
    • Google Data Analytics: Google
    • Introduction to Data Analytics: IBM

    Frequently Asked Questions about Data Integration

    Data integration is the process used in computing environments to consolidate data from different sources. This consolidated data is usually stored at a data warehouse, which can handle large volumes of big data. Data integration is often the precursor to other processes like data analysis, reporting, and forecasting.

    In business, data integration creates valuable insights for companies, by combining business processes and technical systems from a wide variety of sources. It gives businesses a holistic view of their data. In turn, this helps companies to run other applications that provide further data insights around a company's data assets.‎

    Learning about data integration can teach you skills and concepts for creating data integration workflows and for designing data warehouses. You can accumulate new insights about open source products while learning how to use data science information to organize pivot tables and explore data integration workflows. For anyone interested in becoming a data system administrator or data warehouse developer, these are fundamental skills to have. Additionally, learning about data integration will give you background theory and concepts for understanding software architecture, maturity models, and management practices.‎

    Data integration careers are worth pursuing, as there are many jobs available like scrum masters, data integration engineers, data integration analysts, data integration developers, and similar roles that can offer you a strong career path. These jobs are available in government work, retail, finance, healthcare, and other fields. They offer high pay, interesting work, and flexibility to move into similar data warehousing roles.‎

    If you are currently an information sciences or business technology professional and looking to grow your knowledge of coding and data integration, then online courses will be able to satisfy that requirement. Online courses will give you the fundamental knowledge and specific skills in data integration and data warehousing to make a difference in your career. Once you move through a variety of online courses about data integration, you will likely be able to move successfully in data software and data integration concepts on any kind of data warehouse development project.‎

    Online Data Integration courses offer a convenient and flexible way to enhance your knowledge or learn new Data Integration skills. Choose from a wide range of Data Integration courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Integration, 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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