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  • Data Integration

Data Integration Courses

Data integration courses can help you learn data mapping, ETL (extract, transform, load) processes, and API management. You can build skills in data quality assessment, data warehousing strategies, and real-time data synchronization. Many courses introduce tools like Talend, Apache NiFi, and Microsoft Power BI, that support implementing integration solutions and visualizing integrated data effectively. You'll also explore methods for ensuring data consistency across platforms and leveraging data lakes for comprehensive analytics.


Popular Data Integration Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: From Concept to Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    61 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Smart Data Cleaning with Generative AI

    Skills you'll gain: Data Quality, Responsible AI, Data Cleansing, Generative AI, Data Validation, Automation, Data Processing, Data Transformation, Tensorflow, OpenAI, Artificial Intelligence, Alteryx

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery Machine Learning using Soccer Data

    Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling

    Intermediate · Project · Less Than 2 Hours

  • C

    Coursera

    Use Python for Non-Data Role

    Skills you'll gain: Jupyter, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Data Visualization Software, Python Programming, Email Automation, Data Literacy, Data Structures, Data Manipulation

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    AI-Powered Data Analysis: A Practical Introduction

    Skills you'll gain: Analytical Skills, Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Generative AI, ChatGPT, Version Control, Data Visualization Software, Statistical Analysis, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting Started with Data Visualization in R

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    299 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Transforming Exploratory Data Analysis with AI

    Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, OpenAI, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Processing, Data Visualization Software, Descriptive Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

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

    Skills you'll gain: Dataflow, Real Time Data, Google Cloud Platform, Data Pipelines, Data Lakes, Data Import/Export, Tensorflow, Feature Engineering, Data Governance, Data Architecture, Dashboard, Apache Spark, Operational Databases, Data Warehousing, Big Data, Metadata Management, Data Management, MLOps (Machine Learning Operations), Extract, Transform, Load, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    124 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • Modeling Time Series and Sequential Data: SAS
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Analyze Data in Azure ML Studio: Coursera
  • Smart Data Cleaning with Generative AI: Coursera
  • BigQuery Machine Learning using Soccer Data: Google Cloud
  • Use Python for Non-Data Role: Coursera
  • AI-Powered Data Analysis: A Practical Introduction: University of Michigan
  • Getting Started with Data Visualization in R: Johns Hopkins University

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