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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

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      Introduction to Data Protection and Privacy

      Skills you'll gain: General Data Protection Regulation (GDPR), Personally Identifiable Information, Governance Risk Management and Compliance, Information Privacy, Data Governance, Data Security, Cybersecurity, Data Management, Data Storage, Cyber Risk, Data Processing, Data Access, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Accelerated Computer Science Fundamentals

      Skills you'll gain: C++ (Programming Language), Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Graph Theory, Development Environment, Engineering Software, Computer Programming, Software Engineering, Algorithms, Debugging, Program Development, Database Systems, Database Theory, Network Routing, Theoretical Computer Science, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Software Technical Review, Integrated Development Environments, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Data Warehousing: Schema, ETL, Optimal Performance

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Snowflake Schema, Star Schema, Business Intelligence, Data Modeling, Database Design, Data Management, Data Integration, Performance Tuning, Databases, Data Transformation, Scalability

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Fundamentals of Data Visualization

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), User Centered Design, Statistical Visualization, Data Presentation, Usability, Data Storytelling, Human Computer Interaction, User Research, Usability Testing, Requirements Analysis, Design Elements And Principles

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine

      Skills you'll gain: Kubernetes, Identity and Access Management, Cloud-Native Computing, Google Cloud Platform, CI/CD, Containerization, Application Deployment, Cloud Management, Scalability, Cloud Computing, Cloud Infrastructure, Load Balancing, Continuous Integration, DevOps, Continuous Delivery, YAML, Data Storage, Cloud Security, Cloud Services, Application Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Computer Programming, Software Testing, Computer Science, Graph Theory, File Management, Artificial Intelligence, Integration Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Advanced

      Skills you'll gain: Dashboard, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Cleansing, Finance, Business Intelligence Software, Data Validation, Financial Modeling, Data Visualization, Loans, Depreciation, Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Intermediate · Course · 1 - 3 Months

    Data Integration learners also search

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    1…414243…643

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

    • Survey Data Collection and Analytics: University of Michigan
    • Introduction to Data Protection and Privacy: Coursera Instructor Network
    • Accelerated Computer Science Fundamentals: University of Illinois Urbana-Champaign
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Computational Neuroscience: University of Washington
    • Data Warehousing: Schema, ETL, Optimal Performance: Coursera Instructor Network
    • Fundamentals of Data Visualization: University of Colorado Boulder
    • Architecting with Google Kubernetes Engine: Google Cloud
    • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
    • Risk Management: New York Institute of Finance

    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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