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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

    • C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      813 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Discrete-Time Markov Chains and Monte Carlo Methods

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Artificial Intelligence, Generative AI

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Data Analysis, Statistical Modeling, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Box Plots, Graphing, Sampling (Statistics)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Developing AI Applications on Azure

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      978 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      60 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      B

      Board Infinity

      Excel Essentials and Beyond

      Skills you'll gain: Pivot Tables And Charts, Dashboard, Data Presentation, Data Visualization, Spreadsheet Software, Data Storytelling, Data Visualization Software, Excel Formulas, Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Validation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Learning Deep Learning: Unit 3

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      346 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Requirement Gathering and Analysis with GenAI Training

      Skills you'll gain: Requirements Analysis, Generative AI, Prompt Engineering, User Requirements Documents, Software Design Documents, Process Optimization, Requirements Elicitation, Workflow Management, User Story, Operational Efficiency, Prioritization, LLM Application, Strategic Prioritization, Customer Insights, Language Interpretation, Translation, and Studies

      Beginner · Course · 1 - 4 Weeks

    Data Integration learners also search

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    1…141142143…739

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

    • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
    • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
    • Estadística y probabilidad: Universidad Nacional Autónoma de México
    • Developing AI Applications on Azure: LearnQuest
    • Statistical Learning for Engineering Part 2: Northeastern University
    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera Instructor Network
    • Excel Essentials and Beyond: Board Infinity
    • Probabilistic Graphical Models: Stanford University
    • Learning Deep Learning: Unit 3: Pearson

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