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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

    • I

      IBM

      What is Data Science?

      Skills you'll gain: Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Business Logic, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 3 - Integration

      Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Engineering Calculations, Advanced Mathematics, Mathematical Modeling, Mathematical Theory & Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      524 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Sampling (Statistics), Data Ethics, Data Visualization Software, Data Presentation, Statistical Hypothesis Testing, Regression Analysis, Feature Engineering, Data Transformation, Data Visualization, Probability & Statistics, Tableau Software, Data Manipulation, Advanced Analytics, Data Cleansing, Object Oriented Programming (OOP), Applied Machine Learning, Statistical Analysis, Jupyter

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      96K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Mining, Data Modeling, Databases, Data Science, Stored Procedure, Relational Databases, R Programming, Database Design, Query Languages, Database Management, Big Data, Computer Programming Tools, GitHub, Data Visualization Software, Application Deployment, Data-Driven Decision-Making, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      97K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Debugging, Network Model, Bioinformatics, Advanced Mathematics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, Computer Programming, Epidemiology, C++ (Programming Language), Infectious Diseases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, Business Analytics, R Programming, Recruitment, Data-Driven Decision-Making, Data Storytelling, Project Documentation, Presentations, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Data Cleansing, Business Metrics, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Data Visualization, Decision Support Systems, Business Intelligence, Data Modeling, Business Intelligence Software, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Presentation, Oracle Databases, Data Integration, Extract, Transform, Load, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Advanced · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Big Data, Data Visualization Software, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Mining, Dashboard, Apache Hadoop, Data Collection, Tree Maps, Excel Formulas, Apache Hive, Microsoft Excel, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 3 Months

    Data Integration learners also search

    Data Engineering
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    Big Data Projects
    Python Data Science
    Advanced Big Data
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    1234…616

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

    • What is Data Science? : IBM
    • Calculus: Single Variable Part 3 - Integration: University of Pennsylvania
    • Data Visualization with Python: IBM
    • Google Advanced Data Analytics: Google
    • Python Data Structures: University of Michigan
    • Introduction to Data Science: IBM
    • Data Structures and Algorithms: University of California San Diego
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Data Warehousing for Business Intelligence: University of Colorado System

    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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